This document describes research aimed at isolating an aptamer that can detect the fibroblast growth factor FGF8b, which has been linked to prostate cancer. The researcher conducted four rounds of SELEX (Systematic Evolution of Ligands by EXponential enrichment) using bead-based selection to isolate RNA aptamers that bind specifically to FGF8b. No aptamers had previously been found for this target. Successfully finding an FGF8b-binding aptamer could help detect prostate cancer earlier and improve treatment outcomes.
Osteoblasts remotely supply lung tumors with cancer-promoting SiglecFhigh neu...Gul Muneer
Systemic cross-talk between lung tumors and bones
Bone marrow–derived myeloid cells can accumulate within tumors and foster
cancer outgrowth. Local immune-neoplastic interactions have been intensively
investigated, but the contribution of the systemic host environment to tumor growth
remains poorly understood. Here, we show in mice and cancer patients (n = 70) that
lung adenocarcinomas increase bone stromal activity in the absence of bone
metastasis. Animal studies reveal that the cancer-induced bone phenotype involves
bone-resident osteocalcin-expressing (Ocn+) osteoblastic cells. These cells promote
cancer by remotely supplying a distinct subset of tumor-infiltrating SiglecFhigh
neutrophils, which exhibit cancer-promoting properties. Experimentally reducing
Ocn+ cell numbers suppresses the neutrophil response and lung tumor outgrowth.
These observations posit osteoblasts as remote regulators of lung cancer and
identify SiglecFhigh neutrophils as myeloid cell effectors of the osteoblast-driven
protumoral response
Nanodroplet processing platform for deep and quantitative proteome profiling ...Gul Muneer
Nanoscale or single-cell technologies are critical for biomedical applications. However, current mass spectrometry (MS)-based proteomic approaches require samples comprising a minimum of thousands of cells to provide in-depth profiling. Here, we report the development of a nanoPOTS (nanodroplet processing in one pot for trace samples) platform for small cell population proteomics analysis. NanoPOTS enhances the efficiency and recovery of sample processing by downscaling processing volumes to <200 nL to minimize surface losses. When combined with ultrasensitive liquid chromatography-MS, nanoPOTS allows identification of ~1500 to ~3000 proteins from ~10 to ~140 cells, respectively. By incorporating the Match Between Runs algorithm of MaxQuant, >3000 proteins are consistently identified from as few as 10 cells. Furthermore, we demonstrate quantification of ~2400 proteins from single human pancreatic islet thin sections from type 1 diabetic and control donors, illustrating the application of nanoPOTS for spatially resolved proteome measurements from clinical tissues.
While bulk cell analysis is critical for understanding the biological system as a whole, it also leads to “cellular averages” masking the intrinsic differences across individual cell subpopulations. On the other hand, single-cell analysis is capable of bringing into focus the individual contribution of every cell, without obscuring a biological response that may otherwise occur when cells are assessed in bulk. Learn more about why single cell analysis in this presentation.
Characterizing the Microbiome of Neonates and Infants to explore associations...QIAGEN
This webinar slidedeck will focus on the acquisition and development of the preterm gut microbiome from birth and following discharge from intensive care. Specifically, the discussion will be around the association of the gut microbiome with necrotizing enterocolitis (NEC) and late onset sepsis (LOS), as well as the impact of birth mode. The other discussion points will be the analysis of multi-omic datasets, including the analysis of the airway microbiome and metabolome in infants hospitalized with bronchiolitis.
Discuss an example of knockout mouse model used for disease modelling (Metast...SaniikaRenganadan
Title: Discuss an example of knockout mouse model used for disease modelling
Disease: Metastatic Bladder Cancer
Module: Gene and Tissue Culture Technology
Osteoblasts remotely supply lung tumors with cancer-promoting SiglecFhigh neu...Gul Muneer
Systemic cross-talk between lung tumors and bones
Bone marrow–derived myeloid cells can accumulate within tumors and foster
cancer outgrowth. Local immune-neoplastic interactions have been intensively
investigated, but the contribution of the systemic host environment to tumor growth
remains poorly understood. Here, we show in mice and cancer patients (n = 70) that
lung adenocarcinomas increase bone stromal activity in the absence of bone
metastasis. Animal studies reveal that the cancer-induced bone phenotype involves
bone-resident osteocalcin-expressing (Ocn+) osteoblastic cells. These cells promote
cancer by remotely supplying a distinct subset of tumor-infiltrating SiglecFhigh
neutrophils, which exhibit cancer-promoting properties. Experimentally reducing
Ocn+ cell numbers suppresses the neutrophil response and lung tumor outgrowth.
These observations posit osteoblasts as remote regulators of lung cancer and
identify SiglecFhigh neutrophils as myeloid cell effectors of the osteoblast-driven
protumoral response
Nanodroplet processing platform for deep and quantitative proteome profiling ...Gul Muneer
Nanoscale or single-cell technologies are critical for biomedical applications. However, current mass spectrometry (MS)-based proteomic approaches require samples comprising a minimum of thousands of cells to provide in-depth profiling. Here, we report the development of a nanoPOTS (nanodroplet processing in one pot for trace samples) platform for small cell population proteomics analysis. NanoPOTS enhances the efficiency and recovery of sample processing by downscaling processing volumes to <200 nL to minimize surface losses. When combined with ultrasensitive liquid chromatography-MS, nanoPOTS allows identification of ~1500 to ~3000 proteins from ~10 to ~140 cells, respectively. By incorporating the Match Between Runs algorithm of MaxQuant, >3000 proteins are consistently identified from as few as 10 cells. Furthermore, we demonstrate quantification of ~2400 proteins from single human pancreatic islet thin sections from type 1 diabetic and control donors, illustrating the application of nanoPOTS for spatially resolved proteome measurements from clinical tissues.
While bulk cell analysis is critical for understanding the biological system as a whole, it also leads to “cellular averages” masking the intrinsic differences across individual cell subpopulations. On the other hand, single-cell analysis is capable of bringing into focus the individual contribution of every cell, without obscuring a biological response that may otherwise occur when cells are assessed in bulk. Learn more about why single cell analysis in this presentation.
Characterizing the Microbiome of Neonates and Infants to explore associations...QIAGEN
This webinar slidedeck will focus on the acquisition and development of the preterm gut microbiome from birth and following discharge from intensive care. Specifically, the discussion will be around the association of the gut microbiome with necrotizing enterocolitis (NEC) and late onset sepsis (LOS), as well as the impact of birth mode. The other discussion points will be the analysis of multi-omic datasets, including the analysis of the airway microbiome and metabolome in infants hospitalized with bronchiolitis.
Discuss an example of knockout mouse model used for disease modelling (Metast...SaniikaRenganadan
Title: Discuss an example of knockout mouse model used for disease modelling
Disease: Metastatic Bladder Cancer
Module: Gene and Tissue Culture Technology
An Evolutionary and Structural Analysis of the Connective Tissue Growth Facto...Ashley Kennedy
The connective tissue growth factor (CTGF) gene is known to be important in cell growth, bone and cartilage differentiation, and wound healing. The molecular mechanisms and exact role that CTGF plays in these processes are still unclear. A greater understanding of the evolutionary history of this gene may help identify regions of the gene important at the molecular level of wound healing. Aligning CTGF sequences from 19 different species allowed for identification of regions in the CTGF gene that are conserved across evolutionary history. We have matched single nucleotide polymorphisms (SNPs) detected by sequencing individuals at Plymouth State to these highly conserved regions. Surprisingly, we have identified 18 SNPs in humans within regions of the gene that are highly conserved. In addition, an excess of SNPs that cause amino acid changes in these regions suggests there is positive selective pressure on this gene in humans. Using a comparative protein modeling utility, RaptorX, we have identified SNPs that have significant impact on the protein structure of CTGF. Understanding evolutionary pressures on CTGF and identifying significantly different variants among humans can help increase understanding of this gene and its involvement in healing.
This is a lecture by Dr. Jerry McLaughlin about his research into extracts of pawpaw plants, annonaceous acetogenins, in vitro, in vivo, mechanism of action, and toxicity in mice.
The use of genetic engineering technology in animals has been associated with ethical issues, some of which relate to animal welfare. Discuss examples of genetically engineering animals and evaluate the ethical concerns of genetic engineering.
Dr. David Mooney - Simposio Internacional 'Terapias oncológicas avanzadas'Fundación Ramón Areces
Los días 15 y 16 de octubre de 2014, la Fundación Ramón Areces y la Real Academia Nacional de Farmacia, en colaboración con la Fundación de la Innovación Bankinter, reunieron en Madrid a algunos de los mayores expertos mundiales en nuevas terapias contra el cáncer. El Simposio Internacional, coordinado por la profesora y académica María José Alonso, analizó el momento actual de la lucha contra esta enfermedad. También fue un punto de encuentro para científicos de los más innovadores institutos de investigación en oncología, quienes debatieron sobre tres grandes temas: la Medicina Personalizada contra el cáncer, los nanomedicamentos en la terapia del cáncer y las terapias basadas en la inmunomodulación.
Assessment of immunomolecular_expression_and_prognostic_role_of_tlr7_among_pa...dr.Ihsan alsaimary
Dr. ihsan edan abdulkareem alsaimary
PROFESSOR IN MEDICAL MICROBIOLOGY AND MOLECULAR IMMUNOLOGY
ihsanalsaimary@gmail.com
mobile : 009647801410838
university of basrah - college of medicine - basrah -IRAQ
QIVIVE extrapolation requires a precise correlation between exposure and the effective chemical concentration at the site where the MIE occurs.
This work demonstrates that intracellular distribution is not ruled only by physical-chemical parameters, rather it is mainly regulated by specific biological-mediated mechanisms. Substances with
apparent chemical similarity may show different distribution profile, as shown by the intra-nuclear distribution of polyphenols. While our results derive from a limited number of substances applied to
one cell line, it is plausible that using different substances and/or different cell lines would also have shown that intracellular distribution is not directly related to physical-chemical parameters.
Chemical uptake should be specifically measured and simple extrapolations based on physical-chemical properties may provide misleading decision
Objective: Ischemia-reperfusion (I/R) leads to reactive oxygen species formation and cell death in kidney tissue with injury and organ transplantation. Simvastatin (SIM) is an antioxidant, anti-inflammatory, and anticoagulant agent. Alterations in I/R-induced acute kidney injury model with SIM treatment were analyzed.
Study Design: Wistar rats (n=28) were grouped into Sham, Ischemia, I/R, and I/R+SIM treated. Left rat kidney renal vessels were clamped for 60 minutes for ischemia, and the I/R group had 6 hours of reperfusion. 10 mg/kg SIM was given orally for 28 days. MDA, GSH, and MPO were analyzed. Kidney tissues were paraffin embedded, and primary antibodies TNF-α and caspase-3 were applied for immunohistochemistry.
Results: In the I/R group, intense inflammatory cell infiltration around the vessels and necrosis in the glomerular structures were observed. In the treated group, proximal and distal tubular cells were found to be close to normal. Immunoexpression of caspase-3 in the ischemia group was positive in degenerative glomeruli. In the treated group, TNF-α expression was negative in the glomerular structures. MDA and MPO levels were significantly increased in ischemia and I/R.
Conclusion: We suggest that SIM treatment improved kidney tissue structure and function in a model of I/R injury.
Keywords: caspase-3; immunohistochemistry; ischemia/reperfusion; kidney; MPO; simvastatin
BACKGROUND: Sequential Epstein-Barr virus (EBV)–positive B cell lymphoma to the initial diagnosis of angioimmunoblastic T cell lymphoma (AITL) is very rare, the exact mechanism and standard therapy of which is still being explored. CASE: A 50-year-old man was admitted to our hospital in January 2014 with a three-week history of enlargement of multiple lymph nodes. His initial pathological evaluation indicated AILT. The reactivation of EBV was observed during the immunosuppression therapy for AITL, accompanied by onset of subcutaneous nodules proven to be EBV-positive diffuse large B cell lymphoma (DLBCL) based on the pathological findings of rebiopsy. The patient was successfully treated with chidamide, a histone deacetylase (HDAC) inhibitor, and rituximab.
Conclusion: The sufficient surveillance for serum EBV and repeat biopsy is necessary for patients with AITL, and this treatment modality may become an active option.
Keywords: angioimmunoblastic T cell lymphoma, Epstein-Barr virus, HDAC inhibitor, non-Hodgkin lymphoma, peripheral T cell lymphoma
Current and Novel Immuno-Oncology Drug Evaluation Methods via Humanized Mouse...InsideScientific
Dr. Bin Xie discusses the current immuno-oncology drug development landscape, different humanized mouse models available for drug testing, and the investigation of potential mechanisms via imaging mass cytometry.
Since the first immune checkpoint blocker ipilimumab was approved by the US FDA in 2011, more drug companies have sought to develop their own immune therapy drugs. Humanized peripheral blood mononuclear cell (PBMC) reconstitution in immune deficient mice is becoming a valuable model for evaluating therapeutic antibodies, especially bispecific antibodies (BsAbs), which can mediate immune cells as well as target a tumor antigen.
However, this model has several drawbacks, including a limited dosing window due to graft-versus-host-disease and insufficient natural immune cell infiltration. This has hindered wide application of the model in the development of multiple immune checkpoint inhibitors or immune agonists.
To overcome these issues, LIDE has developed a unique human PBMC/cancer cell co-transfer model which can generate three-dimensional huPBMC-infiltrated tumor tissue for immunotherapy. This model has successfully been used to evaluate the biological function of several signaling proteins and biomarkers in multiple cancers, such as melanoma, breast cancer, and lung cancer.
In this webinar, Dr. Bin Xie discusses the current immuno-oncology drug development landscape, different humanized models available for drug testing, evaluates real-world case studies, and describes the investigation of potential mechanisms by imaging mass cytometry.
Key Topics Include:
- Introduction to immuno-oncology drug development and the importance of using humanized mouse models to address scientific questions
- Evaluation of current IO platforms and new methods from LIDE, including analysis of several case studies
- Understanding the spatiotemporal interaction between tissue-infiltrating immune cells and cancer cells via imaging mass cytometry
An Evolutionary and Structural Analysis of the Connective Tissue Growth Facto...Ashley Kennedy
The connective tissue growth factor (CTGF) gene is known to be important in cell growth, bone and cartilage differentiation, and wound healing. The molecular mechanisms and exact role that CTGF plays in these processes are still unclear. A greater understanding of the evolutionary history of this gene may help identify regions of the gene important at the molecular level of wound healing. Aligning CTGF sequences from 19 different species allowed for identification of regions in the CTGF gene that are conserved across evolutionary history. We have matched single nucleotide polymorphisms (SNPs) detected by sequencing individuals at Plymouth State to these highly conserved regions. Surprisingly, we have identified 18 SNPs in humans within regions of the gene that are highly conserved. In addition, an excess of SNPs that cause amino acid changes in these regions suggests there is positive selective pressure on this gene in humans. Using a comparative protein modeling utility, RaptorX, we have identified SNPs that have significant impact on the protein structure of CTGF. Understanding evolutionary pressures on CTGF and identifying significantly different variants among humans can help increase understanding of this gene and its involvement in healing.
This is a lecture by Dr. Jerry McLaughlin about his research into extracts of pawpaw plants, annonaceous acetogenins, in vitro, in vivo, mechanism of action, and toxicity in mice.
The use of genetic engineering technology in animals has been associated with ethical issues, some of which relate to animal welfare. Discuss examples of genetically engineering animals and evaluate the ethical concerns of genetic engineering.
Dr. David Mooney - Simposio Internacional 'Terapias oncológicas avanzadas'Fundación Ramón Areces
Los días 15 y 16 de octubre de 2014, la Fundación Ramón Areces y la Real Academia Nacional de Farmacia, en colaboración con la Fundación de la Innovación Bankinter, reunieron en Madrid a algunos de los mayores expertos mundiales en nuevas terapias contra el cáncer. El Simposio Internacional, coordinado por la profesora y académica María José Alonso, analizó el momento actual de la lucha contra esta enfermedad. También fue un punto de encuentro para científicos de los más innovadores institutos de investigación en oncología, quienes debatieron sobre tres grandes temas: la Medicina Personalizada contra el cáncer, los nanomedicamentos en la terapia del cáncer y las terapias basadas en la inmunomodulación.
Assessment of immunomolecular_expression_and_prognostic_role_of_tlr7_among_pa...dr.Ihsan alsaimary
Dr. ihsan edan abdulkareem alsaimary
PROFESSOR IN MEDICAL MICROBIOLOGY AND MOLECULAR IMMUNOLOGY
ihsanalsaimary@gmail.com
mobile : 009647801410838
university of basrah - college of medicine - basrah -IRAQ
QIVIVE extrapolation requires a precise correlation between exposure and the effective chemical concentration at the site where the MIE occurs.
This work demonstrates that intracellular distribution is not ruled only by physical-chemical parameters, rather it is mainly regulated by specific biological-mediated mechanisms. Substances with
apparent chemical similarity may show different distribution profile, as shown by the intra-nuclear distribution of polyphenols. While our results derive from a limited number of substances applied to
one cell line, it is plausible that using different substances and/or different cell lines would also have shown that intracellular distribution is not directly related to physical-chemical parameters.
Chemical uptake should be specifically measured and simple extrapolations based on physical-chemical properties may provide misleading decision
Objective: Ischemia-reperfusion (I/R) leads to reactive oxygen species formation and cell death in kidney tissue with injury and organ transplantation. Simvastatin (SIM) is an antioxidant, anti-inflammatory, and anticoagulant agent. Alterations in I/R-induced acute kidney injury model with SIM treatment were analyzed.
Study Design: Wistar rats (n=28) were grouped into Sham, Ischemia, I/R, and I/R+SIM treated. Left rat kidney renal vessels were clamped for 60 minutes for ischemia, and the I/R group had 6 hours of reperfusion. 10 mg/kg SIM was given orally for 28 days. MDA, GSH, and MPO were analyzed. Kidney tissues were paraffin embedded, and primary antibodies TNF-α and caspase-3 were applied for immunohistochemistry.
Results: In the I/R group, intense inflammatory cell infiltration around the vessels and necrosis in the glomerular structures were observed. In the treated group, proximal and distal tubular cells were found to be close to normal. Immunoexpression of caspase-3 in the ischemia group was positive in degenerative glomeruli. In the treated group, TNF-α expression was negative in the glomerular structures. MDA and MPO levels were significantly increased in ischemia and I/R.
Conclusion: We suggest that SIM treatment improved kidney tissue structure and function in a model of I/R injury.
Keywords: caspase-3; immunohistochemistry; ischemia/reperfusion; kidney; MPO; simvastatin
BACKGROUND: Sequential Epstein-Barr virus (EBV)–positive B cell lymphoma to the initial diagnosis of angioimmunoblastic T cell lymphoma (AITL) is very rare, the exact mechanism and standard therapy of which is still being explored. CASE: A 50-year-old man was admitted to our hospital in January 2014 with a three-week history of enlargement of multiple lymph nodes. His initial pathological evaluation indicated AILT. The reactivation of EBV was observed during the immunosuppression therapy for AITL, accompanied by onset of subcutaneous nodules proven to be EBV-positive diffuse large B cell lymphoma (DLBCL) based on the pathological findings of rebiopsy. The patient was successfully treated with chidamide, a histone deacetylase (HDAC) inhibitor, and rituximab.
Conclusion: The sufficient surveillance for serum EBV and repeat biopsy is necessary for patients with AITL, and this treatment modality may become an active option.
Keywords: angioimmunoblastic T cell lymphoma, Epstein-Barr virus, HDAC inhibitor, non-Hodgkin lymphoma, peripheral T cell lymphoma
Current and Novel Immuno-Oncology Drug Evaluation Methods via Humanized Mouse...InsideScientific
Dr. Bin Xie discusses the current immuno-oncology drug development landscape, different humanized mouse models available for drug testing, and the investigation of potential mechanisms via imaging mass cytometry.
Since the first immune checkpoint blocker ipilimumab was approved by the US FDA in 2011, more drug companies have sought to develop their own immune therapy drugs. Humanized peripheral blood mononuclear cell (PBMC) reconstitution in immune deficient mice is becoming a valuable model for evaluating therapeutic antibodies, especially bispecific antibodies (BsAbs), which can mediate immune cells as well as target a tumor antigen.
However, this model has several drawbacks, including a limited dosing window due to graft-versus-host-disease and insufficient natural immune cell infiltration. This has hindered wide application of the model in the development of multiple immune checkpoint inhibitors or immune agonists.
To overcome these issues, LIDE has developed a unique human PBMC/cancer cell co-transfer model which can generate three-dimensional huPBMC-infiltrated tumor tissue for immunotherapy. This model has successfully been used to evaluate the biological function of several signaling proteins and biomarkers in multiple cancers, such as melanoma, breast cancer, and lung cancer.
In this webinar, Dr. Bin Xie discusses the current immuno-oncology drug development landscape, different humanized models available for drug testing, evaluates real-world case studies, and describes the investigation of potential mechanisms by imaging mass cytometry.
Key Topics Include:
- Introduction to immuno-oncology drug development and the importance of using humanized mouse models to address scientific questions
- Evaluation of current IO platforms and new methods from LIDE, including analysis of several case studies
- Understanding the spatiotemporal interaction between tissue-infiltrating immune cells and cancer cells via imaging mass cytometry
Cellular and gene therapies are now on the cusp of realizing the early promise of treating, and perhaps curing diseases that previously had little or no available therapeutic options. However, the journey from the laboratory to the clinic has been bumpy, with a history of disappointments, especially in the early 1990's where gene therapy had received much hype and publicity.
The Effect of Atorvastatin (Lipitor) on the Duration of Survival of Allogenei...Nabil Zeidan
Aim: To evaluate the immunomodulatory effect of using non-cholesterol lowering dose
of atorvastatin (AS) on skin allograft survival and on tumor growth in mice.
Study Design: Experimental Study.
Place and Duration of Study: Department of Experimental Pathology, Immunology and
Microbiology, Faculty of Medicine, American University of Beirut; 2011-2012.
Methodology: BALB/c mice were transplanted with skin allografts from C57BL/6 mice
and given either AS alone or in combination with immunosuppressive agents. Average
survival days of skin allografts were recorded and serum levels of interleukin-1β (IL-1β)
and interferon-γ (IFN-γ) were quantified. BALB/c mice and C57BL/6 mice were
challenged intraperitoneally with B16F10 melanoma cancer cells (cancer cell line
syngeneic to C57BL/6 mice) and were then treated with AS. They were observed regularly for tumor growth.
Results: The results indicated that in transplant mice AS given alone or in combination
with immunosuppressive agents prolonged allograft survival time through noncholesterol
lowering mechanisms in spite of a non-significant change in serum cytokine
levels. Furthermore, AS treatment enhanced tumor growth in C57BL/6 mice and
promoted tumor growth in BALB/C mice.
Conclusion: It can be speculated that AS down expresses TLR and modifies MHC
presentation resulting in hindering the generation of an innate and adaptive immune
response.
A normal cell can be transformed into a cancerous cell. Discuss the therapeutic strategies that are employed to target the cellular transformation process for cancer prevention and treatment.
Novel Way to Isolate Adipose Derive Mesenchymal Stem Cells & Its Future Clini...IOSR Journals
Abstract: Adipose-derived stem cells (ADSCs), were isolated from discarded human fat tissue, obtained from csection with our recently modified methods, in Stem Cell & Regenerative Medicine Lab, VSBT. Here we develop
two methods to isolate Adipose derived mesenchymal stem cells with enzyme digestion and use of
phosphatidylcholine and deoxycholate. Surface protein expression was analyzed by flow cytometry to
characterize the cell phenotype. The multi-lineage potential of ADSCs was testified by differentiating cells with
adipogenic inducer. ADSCs can be cultured in vitro for up to one month without passage. Also, the flow
cytometry analysis showed that ADSCs expressed high levels of stem cell related surface marker CD105.
ADSCs have strong proliferation ability, maintain their phenotypes, and have stronger multi-differentiation
potential. The molecular basis of ADSC differentiation was studied using bioinformatics tools with an aim to
identify the key proteins involved in differentiation, such that they could be used as potential targets for drug
development for the treatment of obesity. The key proteins involved were found to be PPARG and C/EBPα. The
structures of the proteins were retrieved from MMDB (Molecular Modelling Database) and PDB (Protein Data
Bank) respectively. Key Words: Adipose-derived stem cells, Mesenchymal stem cells, Enzyme digestion, Phosphatidylcholine, Deoxycholate, PPARG, C/EBPα, etc.
Several Types of PROTACs Based On Nucleic AcidsDoriaFang
So far, more than 10 nucleic acid drugs have been approved for marketing worldwide, and many nucleic acid drugs are in the stage of clinical trials. Nucleic acid drugs are expected to become the third type of drugs after small molecule drugs and antibody drugs.
Detection of misfolded aβ oligomers for sensitive biochemical diagnosis of Al...José Luis Moreno Garvayo
El equipo del Dr. Claudio Soto de la Universidad de Texas ha conseguido demostrar que son capaces de detectar pequeños fragmentos de proteínas mal plegadas, los precursores de las placas seniles, que pueden estar circulando por nuestro cuerpo durante años o décadas antes de que surjan los primeros síntomas de la enfermedad de Alzheimer
Alpha-1 Antitrypsin (α-1 AT) deficiency is a common genetic disorder that affects 1 in 2,000 individuals in the USA. Additionally, over 20 million people have been identified as carriers for this genetic disorder. In severe cases, α-1 AT deficiency can cause substantial lung and liver damage, which if left untreated could result in death and there are no current available treatments. Alpha-1 protein is produced in the liver, travels in the bloodstream and utilized in the lungs to protect healthy lung tissue from harmful destruction by elastase. A common single amino acid substitution, located at E342K (ATZ) was identified in α-1 AT deficient humans. When this specific mutation occurs two phenotypes can result: 1) ATZ can polymerize in the liver causing cellular toxicity 2) inhibits alpha-1 antitrypsin from inhibiting elastase which can result in lung disease. Currently; little is known about the cellular mechanisms that clear the accumulated proteins in the liver. Therefore, an investigative study utilizing C. elegans model of ATZ was performed in order to help determine the cellular mechanisms that dispose of accumulated proteins. Specifically RNA interference was utilized to knockdown expression of specific genes. This investigation examined genes involved in the heat-shock pathway (HSP), unfolded protein response (UPR), and insulin signaling pathway (IS). Phenotypic analysis including: embryonic lethality, protein aggregation expression, and longevity, was completed after knockdown of genes to determine effect on ATZ accumulation. Currently with our preliminary data suggests that the heat-shack pathway may play a role in ATZ accumulation. Determining the mechanism of protein accumulation in the investigation of C. elegans may lead to possible drug targets and therefore the development of a treatment which may alleviate those diagnosed with this disorder.
1. Dugger FGF8-b
Aptamer Selection against Mammalian Fibroblast Growth Factor 8 b for Early Detection of
Prostate Cancer
Samuel Dugger
October 8, 2013
Fall 2013
N71 RNA Pool
Talon Bead-based Selection
Mammalian Fibroblast Growth Factor 8 b Isoform
2. Dugger FGF8-b
Abstract:
Despite major advances in oncology over the past few years, cancer still remains one of the most
prevalent and deadly diseases affecting mankind today. Even in developed countries like the United
States, cancer is one of the top causes of death besides heart disease (Jemal et al, 2011). Although the
word “cancer” is used to describe a family of diseases rather than a specific ailment, all cancers are
identified by unregulated cell division that results in the formation of tumors that may spread throughout
the body (Croce, 2008). Recent studies have suggested that fibroblast growth factors (FGFs) may
contribute to the growth of cancers. Overexpressed FGF8b in particular has been linked with prostate
cancer (Kwabi-Addo, 2004).
The main objective of this research is to find an aptamer that could detect FGF8b. Aptamers are
oligonucleotides with a high binding affinity for certain molecules, and they have a variety of applications
in areas such as drug delivery, diagnostics, therapeutics, developmental biology, and systems and
synthetic biology. They have also been proven to be more accurate, more durable, and cheaper to produce
than antibodies (which are often used for similar reasons). No custom antibodies have been successfully
produced that can locate this target, and aptamers could prove to be the solution.
Successfully isolating and amplifying an aptamer that can locate FGF8b could help doctors detect
prostate cancer in earlier stages and vastly improve patient survival rates. Additionally, this aptamer could
be used for targeted drug delivery by carrying cell-destroying chemicals specifically to cancer cells.
Specific Aim: To isolate and amplify an RNA aptamer that binds specifically to FGF8b.
Budget/Ordering: Shawn Piasecki of the Keatinge-Clay Lab provided last year’s his-tagged
FGF8b stock and will continue to do so. Thus, pricing information from this source in particular is
unknown, but untagged human FGF8b may be purchased in quantities of 100 ug for $187.16 from US
Biological.
Figure 1. This crystallographic image depicts an aptamer (in green) binding
to a target molecule, taken from Limson (2013).
3. Dugger FGF8-b
Figure 1. Diagram of the SELEX selection
process. A large pool of random RNA is
incubated with a target, and binding species
are isolated. These species are amplified and
used to start another cycle, taken from Cass
(2011)
Introduction:
Few diseases today can match the prevalence and lethality of cancer. As their populations
age and become more sedentary, even developed countries like the United States have to deal with rising
cancer rates. Recent estimates suggest that as many as 7.6 million people died of cancer in 2008, making
it the leading cause of death for that year (Jemal et al, 2011). Prostate cancer in particular has been
identified as the second most common form of cancer in men, and it was responsible for 28,088 deaths in
2009 (US Cancer Statistics Working Group, 2013). Although the word “cancer” actually refers to a
family of related diseases rather than a specific illness, all cancers involve unregulated cell division.
Although a series of biochemical checkpoints normally ensures that a “malfunctioning” cell undergoes
programmed cell death (called apoptosis), cancerous cells have genetic mutations that allow them to
bypass these measures (Croce, 2008).
Studies have indicated that a family of proteins, known as Fibroblast Growth Factors, is directly
related to the development of cancers. Fibroblast growth factors in vertebrates can range from 17 to 34
kilodaltons (kDa) in size and play an important role in the development of embryos: each FGF is
responsible for a different aspect of growth. Mammalian growth factor (FGF8b), the growth factor that
was targeted in this study, has a weight of 24,148 Da and affects central nervous system development and
limb development, as well as gastrulation. . FGF8b is found as a monomer. There are 22 members in the
human FGF family, and all require heparan sulfate in order to bind to FGF receptors. Most FGFs
(including FGF8b) are excreted by cells and are typically found in the extracellular matrix (Ornitz and
Itoh, 2001).
A method of successfully detecting
overexpressed FGFs in cells could help oncologists
locate early-stage cancer patients before treatment
becomes difficult. Increased expression of FGF8b
in particular is a known indicator of prostate cancer
(Kwabi-Addo, 2004). Despite attempts by
numerous labs specializing in
immunohistochemistry, attempts to create custom
antibodies to locate this target have failed due to
low specificity and high costs. For this reason, an
aptamer with a high binding affinity for an FGF
would be highly desirable.
Aptamers are oligeonucleotides (or
sometimes peptides) that bind to a specific
4. Dugger FGF8-b
molecule. Aptamers are superior to antibodies for a number of reasons, most of which stem from the way
they are created. Aptamers are developed through an in vitro selection process involving the isolation of
high-binding species from a large pool in a process known as Systematic Evolution of Ligands by
Exponential enrichment), or SELEX (Ni, 2011). In a standard SELEX selection round, binding species of
oligeonucleotides are incubated with a target, filtered out, and reamplified for another round as is shown
in figure 1(adapted from Proske, 2005) . In vitro selection (meaning in artificial conditions AKA test
tubes) means that aptamers can be developed for a wider range of conditions than antibodies (which have
to be made in vivo, or in the body). Aptamers are also significantly cheaper and easier to make, and they
have a longer shelf life. Furthermore, aptamers cannot provoke unwanted immune responses, and their
smaller size makes them more specific by making them better transduction groups for biosensors (Keefe,
2010). Figure 2 shows how aptamers and antibodies can be combined to form extremely potent and
highly specific therapeutic agents that have greater pharmacokinetic properties than their parents
(Wuellner, 2010).
Dr. Anne Moon at Geisinger Health System in Danville, PA has specifically requested an aptamer
for FGF8b to be used in localization studies. There are many other labs working with FGF8b, such as the
Roy-Burman Lab at USC (Chen, 2005). The Presta Lab at the University of Brescia in Italy has studied
the soluble pattern recognition receptor long petraxin-3 as an antagonist of FGF8b, acting to prevent it
from binding to its receptors and inhibiting the development of tumor cells as a result (Leali, 2011).
Before beginning SELEX, it is important to confirm that aptamers have not already been made
for the desired target. As of September 2013, no aptamers had been isolated for FGF8b. It is also critical
to consider the downstream applications of the aptamer when selecting, such as the location where the
aptamer will be used. In this case the desired aptamer, if found, would be used in the human body as a
diagnostic for cancer. Aptamers could be fluorescently tagged prior to injection into the body, so that they
can be used to locate small tumors. FGF8b, while not known specifically for binding nucleic acids, has a
positive charge in solution, and its isoelectric point is greater than 10. Oligeonucleotides like RNA have a
slight negative charge, so it was assumed that RNA species would bind easily to the target even though
FGF8b does not typically bind to nucleic acids in nature.
There are different selection methods that can be used to isolate high-binding RNA species: these
include magnetic bead, columns, and filters. This lab uses bead-based selection which involves
immobilizing a target protein on a set of beads in a tube. In order for this to work, the target protein must
first be “tagged” with a special chemical group such as histadine. Histadine has a high affinity for nickel
and will readily stick to nickel-coated beads.
5. Dugger FGF8-b
Once an aptamer has been found, a self-assembling aptamer-micelle nanostructure can be made to
internalize the aptamer into the cell (Wu, 2010). This aptamer could then be injected into the body to
detect prostate cancer.
Alternatively, this
aptamer could be
attached to a
nanoparticle to
generate a targeted
nanoparticle. A
chemotherapeutic
agent such as
docetaxel could then be encapsulated within this structure to increase cytotoxicity (Xiao et al, 2012).
Materials and Methods:
The nickel-nitrilotriacetic acid (Ni-NTA) beads were stored in a buffer containing 200 mM NaCl,
1 mM MgCl2, and 10 mM tris(hydroxymethyl)aminomethane (tris) at a pH of 7.4 at a temperature of 4°C.
Table 1 shows the initial conditions for each round (table 2 gives the RNA : target ratio and wash
volume/numbers). Prior to the actual selection, the beads that were used were pre-washed three times with
the selection buffer. The mFGF8b was then allowed to immobilize on the beads for 30 minutes at room
temperature. While this occurred, the previous round’s N40B RNA pools (R0 N40B pool for first round)
were incubated at 65°C for 3 minutes with selection buffer and allowed to cool (so that they could fold
into their most stable structure). During the rounds with negative selections, these pools were first
incubated with a tube of beads containing no proteins. The buffer from this process was then drained out
and added to the beads with the target (which removed the RNA that was sticking to the beads rather than
the target). The beads with the protein were then rewashed with selection buffer three times (to remove
the unbound protein) and set to incubate with the RNA pool. The plus/minus selection conducted in round
4 followed a similar process to the negative selection except that the negative RNA (with only beads) was
also washed off, reverse transcribed, and amplified by cycle course. This was compared with a normal
cycle course from the positive (regular) selection in order to confirm that the RNA was primarily binding
to the target rather than the beads. Afterwards, the unbound pool was isolated from the beads. These
beads were then washed with selection buffer, and the solution was then removed and labeled as W1
(wash one). This was repeated until the last wash. Here, the beads along with the buffer were placed in a
new tube before the wash was removed (to get rid of plastic binding species). The RNA species that were
Figure 2. Aptamers and Antibodies working together. Aptamers can be
linked to antibodies for greater accuracy and survivability, adapted from Wuellner
(2010).
6. Dugger FGF8-b
actually bound to the beads were then removed by vortexing in hot (80°C) water. The unbound pool
(WO), last wash (W3 or W5), and the eluted binding pool (E1) that resulted from these selections were
concentrated with standard ethanol precipitation using 1/10th
volume 0.3 M NaOAc at pH 5.2, 3 uL
glycogen, and 2.5 volumes pure ethanol. This was chilled at -80°C for fifteen minutes and centrifuged at
max speed for ten minutes. The supernatant was removed, and 400 uL of chilled 70% ethanol was added
to the precipitate which was chilled on ice for two minutes, re-centrifuged for five minutes, and dried in a
speedvac for ten minutes. All subsequent precipitations were performed in the same way. The pellet was
resuspended in 20 uL diH2O (at a high enough concentration to be reverse transcribed).
A 20 uL mixture containing concentrated RNA (from W0, W3/W5, and E1), 20 uM N40B
reverse (R) primer, and 0.5mM deoxyribonucleotides (dNTPs) was heated at 65°C for 5 minutes and
cooled to room temperature. A mixture of this and First Strand buffer, 0.01M DTT, and 1 uL SuperScript
II Reverse Transcriptase (SSII RT) was then incubated at 42°C for fifty minutes, inactivated at 70°C for
fifteen minutes, and cooled to 4°C for storage (reverse transcription, RT). A 100 uL cycle course
polymerase chain reaction (PCR) was performed to determine the optimal number of cycles for large
scale (ls) PCR: a mixture of PCR buffer (10 mM Tris-HCl pH 8.3, 50 mM KCl, 2 mM MgCl2), 0.2 mM
dNTP, 0.4 uM 88.35 forward (F) primer, 0.4 uM 20.35 reverse (R) primer, 2 uL single stranded (ss) DNA
from RT (three different samples), 4 U Taq DNA polymerase, and diH2O was put through twenty cycles
of PCR. The conditions were: 94°C for two minutes (only once), 92°C for forty-five seconds, 54°C for
forty-five seconds, 72°C for one minute, repeat nineteen times, chill at 4°C. A 5 uL sample was removed
from each of the three at six cycles, nine cycles, twelve cycles, fifteen cycles, and twenty cycles and
mixed stained with 1 uL ethidium bromide (EtBr). These samples were then run on a 3.8% agarose gel for
thirty-five minutes at 120 volts along with a no template control (NTC) and a DNase control (only in
round 2, using “purified” RNA from the last round). The number of cycles that produced the best band for
E1 was chosen for large scale PCR.
The lsPCR contained the same reagents as the cycle course but divided into six tubes.
These were cycled based on the results of the cycle course and then run on a gel (along with another
NTC). The lsPCR was concentrated with ethanol precipitation and resuspended in 20 uL of diH2O. This
precipitate was used as a template in a 20 uL transcription (TNX) reaction along with other reagents:
TNX buffer, 10 mM DTT, 7.5 uM of each nucleoside triphosphate (ATP, CTP, UTP, and GTP in that
order), ~800 ng double stranded (ds) DNA from lsPCR, diH2O, and 2 uL T7 RNA polymerase enzyme
solution. This was incubated at 37°C overnight and combined with 1 uL of DNase I enzyme solution for
another fifteen minutes at 37°C. The enzyme was quenched with 21 uL (one reaction volume) of blue
denaturing dye containing 7 M urea, EDTA, and bromophenol blue. This was denatured by heating for
three minutes at 65°C and added to a polyacrylamide gel made with 8% denaturing acrylamide, 25 uL of
7. Dugger FGF8-b
Table 1. This table shows the selection
conditions used in each round.
tetramethylethylenediamine (TEMED), and 0.04% ammonium persulfate (APS). The gel was run at 450
volts for one hour, and the transcription product was located with a UV light and TLC plate. This product
was cut out and placed in 850 uL of TE for overnight elution. In R2, the gel was instead crushed and
mixed with 400 uL of 0.3M NaOAc and TE. This was heated at 80°C for five minutes and centrifuged at
max speed for one minute. The eluate was removed and added to a red dot Ultrafree-MC spin filter tube
for three minutes of centrifugation filtration. This was repeated a second time with the gel chunks to skip
the overnight elution step and achieve a greater yield. After elution, ethanol precipitation was performed
as before and the pellet was resuspended in 30 uL of diH2O. This precipitated RNA was then quantitated
with a Nanodrop spectrophotometer and used for the next round (four rounds were performed as of this
report with one in progress).
Progress, Results, and Discussion:
The selection process as a whole involved repeating several rounds to isolate and amplify highly
specific RNA before performing a binding assay and sequencing. Early on, there were very few points
where it was possible to check for error. The ethanol precipitations of the round one E1, W0, and W3 all
produced pellets, indicating the possible presence of RNA (although it could have been only salt). In
contrast, the same step in the second round produced only one pellet which was found in W0. However,
missing pellets do not mean absent RNA (they are usually just too small to see), and subsequent cycle
course PCRs in both rounds provided decent results.
In all cycle courses, the W0 showed the earliest amplification and the final wash showed the
latest. This was expected because the majority of the RNA did not bind to the target. Instead, this RNA
R1 – R3 R4 – R5
Pool N71 (dsDNA = 132
bp, RNA = 112 nt)
N71
Incubation Time/
Temperature
25 minutes at 37°C 25 minutes at 37°C
Buffer and pH 1X PBS pH 7.4 1X PBS pH 7.4
Salt and Ion
Concentration
1 mM Phosphate,
13.7 mM NaCl, 2.7
mM KCl, 5 mM
MgCl2
1 mM Phosphate,
13.7 mM NaCl, 2.7
mM KCl
8. Dugger FGF8-b
ended was washed away in W0 and amplified the most out of all the washes. By the last wash, most of the
RNA was washed off with the remaining material staying attached to the target. That is why the elution
showed slightly more amplification than the last wash. The R1 cycle course had no NTC bands, but the
R2 cycle course had a very faint line that was similar to its cycle 9 E1. Rounds 3 and 4 produced no NTC
bands, but round 5 had a thin one. Also, the DNase control showed up in every round it was performed
(R2, R3 and R5) which meant that some residual template DNA from the prior round was not completely
eliminated, presumably due to the low activity of the DNase I enzyme. These issues were judged minor
enough to continue with the selection, so an lsPCR was performed with both (14 cycles for R1 and 12
cycles for R2). The picture of the R1 lsPCR was lost and is not included here, but it showed a bright E1
band with no overamplification and no NTC band. The R2 lsPCR turned up with the same results. In both
cases, this meant that the selection could be continued without any change in selection conditions. In both
of the new rounds (see problems encountered for explanation), a new pool (N71) was used. Both times,
double bands were produced during over amplification. In order to ensure that this problem would not
arise in the lsPCR (which would have entailed starting over), a very small number of cycles was used in
both new lsPCRs (9 cycles both times). Fortunately, both lsPCRs showed single and clear bands. In the
third round, the cycle course was too faint to determine cycles for lsPCR (see Problems Encountered).
Therefore, the selection was started over for round 3 (performing more cycles was impossible because the
thermocycled tubes had already been thrown away and the reverse transcription product was not found) .
The new cycle course was odd in that it produced no bands in cycles 6 and 9 but created obvious smears
from cycle 12 onward. For this reason, 10 cycles were used for the R3 lsPCR to be conservative.
In each round, the lsPCR product was precipitated, transcribed, and then run on a PAGE gel at
450V. The R3 lsPCR still turned up smeared, so the experiment was stopped here due to time contraints.
The previous rounds’ bands were visualized in UV light. Any “shadows” that were produced indicated the
presence of RNA: the UV rays that caused the TLC plate to fluoresce were absorbed by the RNA. The R1
PAGE gel produced a very clear shadow concentrated in one location. This made it easy to cut out the
RNA gel chunks for elution. The R2 band looked unusual and had a warped, asymmetrical appearance.
Despite this, it was still clear enough to be demarcated and cut out in multiple pieces.
After this process, the eluted gels were precipitated with ethanol and resuspended in 30 uL of
diH2O. A nanodrop spectrophotometer was then used to measure the concentration of RNA in the samples
by measuring absorbance. The R1 RNA had a yield of 2605.20 pmol while the R2 RNA had a yield of
2607.19 pmol but these results were useless (see Problems Encountered). Thus, the selection conditions
for these rounds are not included in the table. The new R1 RNA had a yield of 1676.69 pmol, and the new
R2 RNA pool had a yield of 2048.29 pmol. In the fall, a third round was successfully conducted that
produced 1290.82 pmol of RNA. This round amplified very quickly in the cycle course but still provided
NTC
9. Dugger FGF8-b
good bands (not overamplified or too thin) in the large scale. In the fourth round, a plus/minus selection
was conducted in order to give a rough estimate of how well the RNA was binding to the target (as
opposed to the beads). The positive cycle course elution was much brighter than the negative cycle course
elution (which only produced bands in the 20th
cycle in the elution, see figures 16 and 17). This proved
that most of the RNA was sticking to the FGF8b rather than the Talon beads (the negative elution would
be much brighter in this case). Afterwards, the large scale PCR produced a clear band of the appropriate
length with very faint primer-dimers. The primer-dimers were not determined to be an issue; however,
because the main bands did not overamplify the primer-dimers could be removed during the PAGE gel
purification process (the shorter bands travel much further than the longer bands and are not excised). The
Round 4 transcription was extremely effective (probably due to using the 42°C 2 hour reaction rather than
the 37°C overnight reaction), with a concentration of 97.8 pmol/uL. Since the Nanodrop cannot
accurately measure concentrations over 71.3 pmol/uL, the concentration was diluted to 24.7 pmol/uL with
20 uL of water. In round 5, some of the E1 appeared to leak out of the tube prior to the first ethanol
precipitation (after binding and selection). This was probably part of the reason that no bands were
observed in the cycle course until the 20th
cycle (this band was overamplified). The lsPCR for this round
failed to produce any bands at all, so another lsPCR was run for 20 cycles using the remaining reverse
transcription product. The results of this are seen in figure 21. Multiple cycle course/large scale PCRs
were necessary to correct the issues that arose after this step (see figures 19-23 and Problems Encountered
for a full explanation). Eventually, round 5 produced 1816 pmol of RNA.
All lab figures are on following 4
pages
10. Dugger FGF8-b
Figure 3. R1 Cycle Course. This 3.8% agarose
gel was run at 100V for 40 minutes. The bands
were the correct length (96 bp). Cycle 20 showed
unusual amplification (the primers started laying
down incorrectly), but the NTC was clear.
Fourteen cycles were used for the large scale
(cycle 12 was too faint and cycle 15 over-
amplified).
Figure 4. R2 Cycle Course. The bands were the correct length
(still 96 bp). A very faint band was visible in the NTC (in blue
box), but this was not enough to warrant starting over (cause
was determined to be pipetting error, not contamination) so the
process was continued (12 cycles chosen for lsPCR). The DNase
control showed excessive amplification, meaning that the DNase
I enzyme removed very little template DNA.
Figure 5. R2 lsPCR. The
round 2 lsPCR produced a
good band (96 bp) at 12
cycles with no smearing
and did not have an NTC
band like the previous
cycle course.
Figure 6. New R1 Cycle Course. Cycle 12
seemed to produce double bands in the E1,
but the single bands in the earlier cycles
were the correct length (112 bp). 9 cycles
were chosen for large scale.
Figure 7. New R1
lsPCR. This lsPCR
produced no double
bands and was the
correct length (132 bp).
11. Dugger FGF8-b
Figure 12. R3 lsPCR. Although
difficult to see, the blue box
indicates a very faint smear. This
was very unusual and showed that
the sample was probably
contaminated (not
overamplification).
Figure 9. New R2 lsPCR.
This lsPCR (9 cycles) also
showed no double bands. A
DNase control was performed
and indicated that the DNase
was not active enough to
destroy the DNA template
from the previous round.
Figure 8. New R2 Cycle Course. This
ccPCR also showed double bands and did not
show up very well under UV light (likely due
to the thickness of the gel). Cycles chosen = 9
***NOTE***: Figures 10-11
were lost in this file but are
available on progress report #1
(textboxes and figures are on this
page but are invisible/irretrievable
for some reason).
12. Dugger FGF8-b
Figure 15. Illustration of PAGE gel. This
crude picture shows what an 8% acrylamide
PAGE gel should look like under UV light.
The boxes at the top are the wells and the
crescent is the blue dye. The dark circle is
the shadow created by the RNA above the
TLC plate. This N71 RNA is 112 nt long.
Figure 13. R3 ccPCR Fall. This gel
amplified very early (cycle 9 was
already very bright), so only 6
cycles were used for the large scale
PCR.
Figure 14. R3 lsPCR Fall. This gel
produced a good band (not too bright) and
no NTC band at 6 cycles.
Figure 16. R4 + ccPCR Fall. This gel
amplified just as quickly as R3, and
produced only one single band. Cycles
chosen = 6.
Figure 17. R4 - ccPCR Fall. This
gel only had bands in cycle 20 in
the last wash and elution. This was
a good sign that the RNA was not
binding to the beads.
13. Dugger FGF8-b
Figure 18. R4 lsPCR Fall. The lsPCR
produced a primer-dimer at 6 cycles but
was otherwise good.
Figure 19. R5 ccPCR Fall. This gel took a very long time to
produce a solid band. 18 cycles were chosen since the 20th
cycle was overamplified.
Figure 20. R5 failed lsPCR Fall. This
lsPCR failed to produce any bands. It is
likely that not enough cycles were
performed to amplify anything. (18
cycles).
Figure 21. R5 lsPCR-2 Fall. A second
lsPCR was performed with the same
reagents (including RT product) using 20
cycles. This yielded no product
amplification, providing only primer-
dimers (60-70 nt long).
Figure 22. R5 ccPCR-2 Fall. Another
RT was performed with the original R5
elution. A positive control (W0 from R2)
was used to confirm that there was no
issue with reagents (nonfunctional Taq).
14 cycles were chosen.
Figure 23. R5 lsPCR-3 Fall. This lsPCR (14 cycles)
appeared warped. The gel used to run the DNA was
not heated enough, so the lsPCR band appears too
long even though it is actually the correct length.
14. Dugger FGF8-b
Problems Encountered:
Near the end of the second round, a major issue was found that demanded the restart of the entire
selection: The targets that had been used for both rounds were not his-tagged. This meant that the proteins
were immediately washed off the beads after the target immobilization step, and that the RNA species
that were isolated were actually bead-binding species. Even when a negative selection was performed in
round 2, the concentration of RNA that was isolated at the end remained relatively high. This meant that
the negative selection was ineffective and that there was no way to continue on to the next round. Had
this problem not been found, then any aptamer that might have been discovered would have been useless:
this species would have a high affinity for nickel beads rather than the actual target, FGF8b.
The reason for this serious error was very simple: the tubes were mislabeled. The box containing
the tubes contained a note identifying the samples as his-tagged FGF8b. The note also described the
volume of the samples and the amount of target present in each tube. This all seemed to indicate that the
tubes inside the box were the correct ones. However, two major clues demonstrated that this was not the
case: the tubes were colored and the volume did not match the description. This problem can be avoided
in the future by more careful labeling as well as by confirming the identity of the sample with the primary
investigator or with a peer. The gels were somewhat difficult to see in the new rounds, but this was likely
due to the amount of gel that was used (too thick) which can be easily fixed in the future by pouring gels
of optimum thickness. The failed R3 ccPCR may have resulted from an error in the ethanol precipitation
prior to reverse transcription (pellets were nearly invisible). The ladder still turned up but all samples
(including the W0 samples) were practically invisible, so the error had to have been with the thermocycler
machine (unlikely), the ethanol precipitation, or one of the reagents. To correct for this in the second
attempt, the 70% ethanol washing step in the precipitation process removed (it may have washed away
RNA). Both the cycle course and the lsPCR produced smears with no clear bands, so the sample may
have been. As a result, the round was started over from selection using fresh aliquots of reagents. This
round (which was performed in the fall semester) produced very clear gels with no major issues. The
bands in the ccPCR amplified almost immediately (already very bright in cycle 9), so the next round had
much more stringent conditions.
In R5, numerous issues were encountered. The elution from the first cycle course did not amplify
until the 20th
cycle, and a very faint band appeared in the NTC column (figure 19). The NTC band was
due to poor pipetting technique rather than contaminated aliquots (confirmed in the lsPCR NTC). Only 18
cycles were used in the lsPCR, and ethanol precipitation was conducted at the same time that the gel was
run. When the gel showed no amplification for the lsPCR (figure 20), it was clear that not enough cycles
had been used. However, it was impossible put the DNA through more cycles as it had already been
precipitated. Thus, a second lsPCR was conducted using the same RT product with 20 cycles. However,
15. Dugger FGF8-b
only primer dimers appeared (figure 21). This indicated that there was very little DNA in the RT product
to begin with (what little was present was likely used in the initial ccPCR). Therefore, a second RT was
performed with the R5 elution to generate a higher yield of RNA. This product was used to run a second
cycle course (along with a positive control to ensure that the Taq enzyme was still functioning). This
cycle course amplified much earlier (figure 22) and produced no NTC bands. Thus, the new RT product
was used in a third lsPCR. This band appeared longer than expected, but this was due to improperly
heated gel that resulted in distorted bands (figure 23). It was this product that was finally transcribed and
quantitated.
Conclusion and Future Work:
The overarching purpose of this selection is to find a species of RNA with a high binding affinity
for mammalian fibroblast growth factor 8 b isoform. During the first two rounds, high concentrations of
RNA with this property were supposedly isolated and quantified. However, this was not the case due to
the lack of his-tagged targets, so the selection process was restarted and will be continued for
approximately six rounds. The original plan of completing six rounds by the end of April was no longer
tangible due to the problems encountered with the first two rounds, so the plan has now changed to
finishing the selection at the beginning of the fall semester. With each subsequent round, a greater number
of washes/ greater total wash volume will be used to increase stringency. In addition to this, the protein to
target ratio was changed to 400 pmol RNA: 200 pmol target after the first round and will be lowered
further every two or three rounds depending on the results. Furthermore, negative selections will be
performed for every future round to avoid isolating bead-binding species. The incubation time and
temperature will not be changed at all unless the yields get too small, and the selection buffer will not be
altered in any way. Afterwards, a binding assay will be performed to determine what the
oligeonucleotides are actually binding to. Hopefully, subsequent rounds will show more binding to
FGF8b than to the beads. Upon completion of this, the RNA species will be sequenced to find any motifs
that cause them to bind so that a more effective structure can be developed. Ultimately, an aptamer may
be identified that can help with the identification and treatment of prostate cancer.
Round Pool : Target
(pmol : pmol)
Washes
(# x Volume)
No. of PCR cycles necessary to
amplify selected pool
Amount of recovered pool
(pmol)
1 400 : 400 5 x 500 uL 9 980
2* 400 : 200 4 x 1000 uL 9 1197
3* 400 : 200 5 x 1000 uL 6 754
4** 400 : 100 10 x 1000 uL 6 1139
5* 400 : 100 10 x 1000 uL 14 1816
Table 2: Summary of anti-FGF8b aptamer
selection rounds.
* = Negative selection
** = Negative selection and +/- selection
16. Dugger FGF8-b
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