Mdm2 oncoprotein. Cell Mol Life Sci 55:96–107
1) Researchers identified a novel oncogene, ribosomal protein L10a (RPL10a), using a cDNA library from Daudi cells to transform p53 knockout mouse embryonic fibroblast cells.
2) Western blot analysis of tumors from myc mice showed different levels of p53 and ARF expression, indicating deregulation of the myc-ARF-p53 pathway.
3) Sequencing of DNA from foci identified RPL10a as a potential oncogene, and its interaction with Mdm2 may imitate effects of myc overexpression, contributing to tumor progression in the absence of p53
Tag-based transcript sequencing: Comparison of SAGE and CAGEMatthias Harbers
Talk given at the European Meeting on Next Generation Sequencing, August 29 to September 1, 2010, at Leiden University Medical Center, The Netherland.
Data have been published in: Hestand et al.: “Tissue-specific transcript annotation and expression profiling with complementary next-generation sequencing technologies.” Nucleic Acids Res. 2010 Sep;38(16):e165.
PMID: 20615900
CRISPR- Trap: a clean approach for the generation of gene knockouts and gene replacements in human cells.- a paper is taken for lab presentation. A very good technique having advantages over conventional KO approaches and allow for the generation of clean CRISPR/ Cas9- based KOs.
Tag-based transcript sequencing: Comparison of SAGE and CAGEMatthias Harbers
Talk given at the European Meeting on Next Generation Sequencing, August 29 to September 1, 2010, at Leiden University Medical Center, The Netherland.
Data have been published in: Hestand et al.: “Tissue-specific transcript annotation and expression profiling with complementary next-generation sequencing technologies.” Nucleic Acids Res. 2010 Sep;38(16):e165.
PMID: 20615900
CRISPR- Trap: a clean approach for the generation of gene knockouts and gene replacements in human cells.- a paper is taken for lab presentation. A very good technique having advantages over conventional KO approaches and allow for the generation of clean CRISPR/ Cas9- based KOs.
ABSTRACT- Long non-coding RNAs (lncRNAs) are a group of longer than 200 nucleotides which are the largest and more diverse transcripts in the cells. After study from Functional Annotation of Mammalian cDNA, lncRNAs demonstrated some special characteristics such as lower quantity, higher tissue-specificity, higher stage specificity and higher cell subtype specificity. The current evidence from tumor diseases suggests that lncRNAs are an important regulatory RNA present at tumor cells, and therefore their alterations are associated with tumorigenesis and tumor diseases. Here we presented a clinical landscape of lncRNA including detection of lncRNA and their clinical application such as diagnosis biomarkers and therapeutic targets. We also discussed the challenges and resolving strategies for these clinical applications.
Key-words- Long non-coding RNA (lncRNA), Transcripts, sampling, Tumor and tumorigenesis
Introduction
What RNA Splicing???
Discovery
Types
Alternative Splicing
Mechanism
Regulatory element And protein
Splicing repression
Splicing activation
Significance
Diseases
Conclusion
Refrences
ABSTRACT- Long non-coding RNAs (lncRNAs) are a group of longer than 200 nucleotides which are the largest and more diverse transcripts in the cells. After study from Functional Annotation of Mammalian cDNA, lncRNAs demonstrated some special characteristics such as lower quantity, higher tissue-specificity, higher stage specificity and higher cell subtype specificity. The current evidence from tumor diseases suggests that lncRNAs are an important regulatory RNA present at tumor cells, and therefore their alterations are associated with tumorigenesis and tumor diseases. Here we presented a clinical landscape of lncRNA including detection of lncRNA and their clinical application such as diagnosis biomarkers and therapeutic targets. We also discussed the challenges and resolving strategies for these clinical applications.
Key-words- Long non-coding RNA (lncRNA), Transcripts, sampling, Tumor and tumorigenesis
Introduction
What RNA Splicing???
Discovery
Types
Alternative Splicing
Mechanism
Regulatory element And protein
Splicing repression
Splicing activation
Significance
Diseases
Conclusion
Refrences
Analysis of Cell Wall Proteins during Xylem Vessel Secondary Cell Wall Format...Gaurav Dwivedi
Proteins constitute to about 10% of the cell wall mass; nevertheless they are essential for maintaining the physical and biological functions in a plant cell. Yet, unidentified functional proteins might still exist in the cell wall. The completion of Arabidopsis genome has allowed the identification of cell wall proteins by using mass spectrometry (MS) techniques. However, it should be noted that several constraints arises during the extraction of cell wall proteins (i) proteins may be embedded in the polysaccharide matrix of cellulose, hemi-cellulose and pectin (ii) some proteins are difficult to solubilise (iii) some proteins undergo post-translational modifications and (iv) lack of surrounding membrane may result in a loss of cell wall proteins. So, specific extraction procedure should be used. Our strategies involved cell wall preparation through mechanical grinding (ball miller, mortar and pestle, sonication) followed by purification with increasing concentration of sucrose and sequential extraction using different concentration of salts. In addition, SDS-PAGE followed by western blotting was done to check the purity of cell wall prepared. Finally, proteins from the cell wall fractions (resultant CW5-pellet and 0.1M CaCl2 extraction) were identified using MS analysis and Arabidopsis thaliana database search. Result: During the cell wall preparation, we observed that mechanical disruption of Arabidopsis cell was the most efficient with Freezer Mill method. In consistent to this, we purified the cell sample homogenized through this method. Upon SDS-PAGE and western blotting using anti-tubulin antibody as the primary antibody, we observed a 55kDa tubulin band only in the first washing point of both basal and induced sample. This implied that the purification strategy that we had adopted was efficient. Furthermore, the resultant CW5 pellet and 0.1M CaCl2 extraction were subjected for proteomic analysis. It revealed that 44.3% of the identified proteins were cell wall proteins in the resultant CW5-pellet (induced) compared to 39.3% in the basal sample. It was also found that some of the cell wall proteins were released during 0.1M CaCl2 extraction. Conclusion: This method of preparing cell wall through mechanical disruption, fractionation through increasing density cushions and extraction of proteins with different concentration of salts provides a good cell wall preparation technique. In fact, the principle of this technique can offer a stage for studying cell wall proteome.
ONLY THE LAST QUESTION IS THE POINT OF POST. THE OTHER PAGES ARE B.pdfamzonknr
ONLY THE LAST QUESTION IS THE POINT OF POST. THE OTHER PAGES ARE
BACKGROUND CONTEXT Lab: Differential Expression Differential gene expression provides
the ability for a cell or organism to respond to a constantly changing external environment. The
specific constellation of proteins required for optimal function and growth varies with cellular
age and environmental context. Thus, protein production is carefully regulated by multiple
mechanisms that modulate both transcriptional and translational pathways. Control of
transcription initiation by RNA polymerase is a predominant mechanism for regulating
expression of specific proteins, presumably because it provides maximal conservation of energy
for the cell. We can often observe the consequence of differential transcription due to the
presence or absence of particular proteins or the growth in particular environments. Control can
also occur at translation; the mRNA is synthesized, but only in certain circumstances is it
translated. Control can also occur at the level of protein function; the protein is inactive, or
activity is not observed due to the lack of the substrate. In this lab we will observe differential
expression of two different genes encoded on plasmids. We will analyze transcriptional activity,
translational activity, and protein function. Plasmids are extra-chromosomal DNA. Bacteria often
have plasmids and will replicate the plasmid and pass it to daughter cells (vertical transmission)
and to neighboring cells (horizontal). Plasmids are a mechanism of gene diversity. In order to
stably retain the plasmid, there needs to be some type of metabolic reason for the bacteria to
maintain the plasmid. In other words, the plasmid confers an advantage. Plasmids contain: 1. Ori:
the plasmid may present is low or high copy number. 2. Lab generated plasmids typically also
contain a selectable marker (antibiotic resistance), 3. Additional gene for ease of visual screening
4. Multiple cloning site
pUC19 is one of a series of plasmid cloning vectors created by Joachim Messing and co-workers.
The designation "pUC" is derived from the classical "p" prefix (denoting "plasmid") and the
abbreviation for the University of California, where early work on the plasmid series had been
conducted. It is a circular double stranded DNA and has 2686 base pairs. pUC19 is one of the
most widely used vector molecules as the recombinants, or the cells into which foreign DNA has
been introduced, can be easily distinguished from the non-recombinants based on color
differences of colonies on growth media. pUC18 is similar to pUC19, but the MCS region is
reversed. - pUC 19 has an origin of replication and is maintained at a high copy number. -
pUC19 encodes for an ampicillin resistance gene (amopR), via a -lactamase enzyme that
functions by degrading ampicillin and reducing its toxicity to the host. - It has an N-terminal
fragment of -galactosidase (lacZ) gene of E. coli which allows for visual screening of
recombinant.
ONLY THE LAST QUESTION IS THE POINT OF POST. THE OTHER PAGES ARE BAC.pdfamzonknr
ONLY THE LAST QUESTION IS THE POINT OF POST. THE OTHER PAGES ARE
BACKGROUND CONTEXT Lab: Differential Expression Differential gene expression provides
the ability for a cell or organism to respond to a constantly changing external environment. The
specific constellation of proteins required for optimal function and growth varies with cellular
age and environmental context. Thus, protein production is carefully regulated by multiple
mechanisms that modulate both transcriptional and translational pathways. Control of
transcription initiation by RNA polymerase is a predominant mechanism for regulating
expression of specific proteins, presumably because it provides maximal conservation of energy
for the cell. We can often observe the consequence of differential transcription due to the
presence or absence of particular proteins or the growth in particular environments. Control can
also occur at translation; the mRNA is synthesized, but only in certain circumstances is it
translated. Control can also occur at the level of protein function; the protein is inactive, or
activity is not observed due to the lack of the substrate. In this lab we will observe differential
expression of two different genes encoded on plasmids. We will analyze transcriptional activity,
translational activity, and protein function. Plasmids are extra-chromosomal DNA. Bacteria often
have plasmids and will replicate the plasmid and pass it to daughter cells (vertical transmission)
and to neighboring cells (horizontal). Plasmids are a mechanism of gene diversity. In order to
stably retain the plasmid, there needs to be some type of metabolic reason for the bacteria to
maintain the plasmid. In other words, the plasmid confers an advantage. Plasmids contain: 1. Ori:
the plasmid may present is low or high copy number. 2. Lab generated plasmids typically also
contain a selectable marker (antibiotic resistance), 3. Additional gene for ease of visual screening
4. Multiple cloning site
pUC19 is one of a series of plasmid cloning vectors created by Joachim Messing and co-workers.
The designation "pUC" is derived from the classical "p" prefix (denoting "plasmid") and the
abbreviation for the University of California, where early work on the plasmid series had been
conducted. It is a circular double stranded DNA and has 2686 base pairs. pUC19 is one of the
most widely used vector molecules as the recombinants, or the cells into which foreign DNA has
been introduced, can be easily distinguished from the non-recombinants based on color
differences of colonies on growth media. pUC18 is similar to pUC19, but the MCS region is
reversed. - pUC 19 has an origin of replication and is maintained at a high copy number. -
pUC19 encodes for an ampicillin resistance gene (amopR), via a -lactamase enzyme that
functions by degrading ampicillin and reducing its toxicity to the host. - It has an N-terminal
fragment of -galactosidase (lacZ) gene of E. coli which allows for visual screening of
recombinant.
ShRNA-specific regulation of FMNL2 expression in P19 cellsYousefLayyous
This video encompasses all the steps and data produced for my graduation project in BSc in Biopharmaceutical science. During the course of the project we modified mammalian cells using Short Hairpin RNA to inhibit the correct function of the cytoskelleton. In this way we studied the importance of FMNL2 for the activation and regulation of actin fibers. Among the methods used are Flourescent microscopy, mamallian cell culture, cloning and flow cytometry.
Lab: Differential Expression Differential gene expression provides the ability for a cell or
organism to respond to a constantly changing external environment. The specific constellation of
proteins required for optimal function and growth varies with cellular age and environmental
context. Thus, protein production is carefully regulated by multiple mechanisms that modulate
both transcriptional and translational pathways. Control of transcription initiation by RNA
polymerase is a predominant mechanism for regulating expression of specific proteins,
presumably because it provides maximal conservation of energy for the cell. We can often
observe the consequence of differential transcription due to the presence or absence of particular
proteins or the growth in particular environments. Control can also occur at translation; the
mRNA is synthesized, but only in certain circumstances is it translated. Control can also occur at
the level of protein function; the protein is inactive, or activity is not observed due to the lack of
the substrate. In this lab we will observe differential expression of two different genes encoded
on plasmids. We will analyze transcriptional activity, translational activity, and protein function.
Plasmids are extra-chromosomal DNA. Bacteria often have plasmids and will replicate the
plasmid and pass it to daughter cells (vertical transmission) and to neighboring cells (horizontal).
Plasmids are a mechanism of gene diversity. In order to stably retain the plasmid, there needs to
be some type of metabolic reason for the bacteria to maintain the plasmid. In other words, the
plasmid confers an advantage. Plasmids contain: 1. Ori: the plasmid may present is low or high
copy number. 2. Lab generated plasmids typically also contain a selectable marker (antibiotic
resistance), 3. Additional gene for ease of visual screening 4. Multiple cloning site
pUC19 is one of a series of plasmid cloning vectors created by Joachim Messing and co-workers.
The designation "pUC" is derived from the classical "p" prefix (denoting "plasmid") and the
abbreviation for the University of California, where early work on the plasmid series had been
conducted. It is a circular double stranded DNA and has 2686 base pairs. pUC19 is one of the
most widely used vector molecules as the recombinants, or the cells into which foreign DNA has
been introduced, can be easily distinguished from the non-recombinants based on color
differences of colonies on growth media. pUC18 is similar to pUC19, but the MCS region is
reversed. - pUC 19 has an origin of replication and is maintained at a high copy number. -
pUC19 encodes for an ampicillin resistance gene (amopR), via a -lactamase enzyme that
functions by degrading ampicillin and reducing its toxicity to the host. - It has an N-terminal
fragment of -galactosidase (lacZ) gene of E. coli which allows for visual screening of
recombinant plasmids. The transformed cells containing the plasmid with the gene of interest ca.
Lab: Differential Expression Differential gene expression provides the ability for a cell or
organism to respond to a constantly changing external environment. The specific constellation of
proteins required for optimal function and growth varies with cellular age and environmental
context. Thus, protein production is carefully regulated by multiple mechanisms that modulate
both transcriptional and translational pathways. Control of transcription initiation by RNA
polymerase is a predominant mechanism for regulating expression of specific proteins,
presumably because it provides maximal conservation of energy for the cell. We can often
observe the consequence of differential transcription due to the presence or absence of particular
proteins or the growth in particular environments. Control can also occur at translation; the
mRNA is synthesized, but only in certain circumstances is it translated. Control can also occur at
the level of protein function; the protein is inactive, or activity is not observed due to the lack of
the substrate. In this lab we will observe differential expression of two different genes encoded
on plasmids. We will analyze transcriptional activity, translational activity, and protein function.
Plasmids are extra-chromosomal DNA. Bacteria often have plasmids and will replicate the
plasmid and pass it to daughter cells (vertical transmission) and to neighboring cells (horizontal).
Plasmids are a mechanism of gene diversity. In order to stably retain the plasmid, there needs to
be some type of metabolic reason for the bacteria to maintain the plasmid. In other words, the
plasmid confers an advantage. Plasmids contain: 1. Ori: the plasmid may present is low or high
copy number. 2. Lab generated plasmids typically also contain a selectable marker (antibiotic
resistance), 3. Additional gene for ease of visual screening 4. Multiple cloning site
pUC19 is one of a series of plasmid cloning vectors created by Joachim Messing and co-workers.
The designation "pUC" is derived from the classical "p" prefix (denoting "plasmid") and the
abbreviation for the University of California, where early work on the plasmid series had been
conducted. It is a circular double stranded DNA and has 2686 base pairs. pUC19 is one of the
most widely used vector molecules as the recombinants, or the cells into which foreign DNA has
been introduced, can be easily distinguished from the non-recombinants based on color
differences of colonies on growth media. pUC18 is similar to pUC19, but the MCS region is
reversed. - pUC 19 has an origin of replication and is maintained at a high copy number. -
pUC19 encodes for an ampicillin resistance gene (amopR), via a -lactamase enzyme that
functions by degrading ampicillin and reducing its toxicity to the host. - It has an N-terminal
fragment of -galactosidase (lacZ) gene of E. coli which allows for visual screening of
recombinant plasmids. The transformed cells containing the plasmid with the gene of interest ca.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
DevOps and Testing slides at DASA ConnectKari Kakkonen
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The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
The Art of the Pitch: WordPress Relationships and Sales
P 53 Tumour Biology
1. ARTICLE
Identification of novel oncogene RPL 10a using a Daudi cDNA library in
p53 KO Mouse Embryonic Fibroblast Cells
Anil Babu. J. Gaurav. D. Dwivedi*
Department of Molecular Biology, Umeå University, Umeå-901 87, Sweden
*Correspondence: gadu0002@student.umu.se
Summary
The p53 protein is involved in the regulation of cell cycle and apoptosis. Many cancers were investigated for the state of p53
and in over half of the cases, p53 action was found to be absent. Using the Western Blot study, we analyzed tumors from
Myc mice to comprehend the relation of p53 and ARF. Here we identified the novel RPL 10a in Knockout (KO) mouse
embryonic fibroblast (MEF) cells transformed by Viraport XR plasmid Daudi cell lines to determine the potential oncogenic
nature of RPL 10a Jointly, these conclusions create a hypothesis that RP-Mdm2 interaction serves as an important p53 stress-
signaling pathway which gets stimulated by abnormal ribosome biogenesis and proves vital for shielding against oncogenic c-
MYC-induced tumors.
Introduction
Hence, ARF increases the availability of p53 and results in
ARF
P53 is a tumor suppressor gene which is associated with either p53-mediated cell cycle arrest or apoptosis. p19
the regulation of various cellular activities which leads to inhibits tumor development both through p53 dependent
cellular stress like cell cycle arrest, senescence, and and p53 independent pathway. The molecular mechanism
apoptosis. Mutations in p53 gene and loss of its function involved in p53 independent function by inhibiting the
through deletion, mutation and epigenetic silencing are processing the rRNA through interactions with
frequently found in both familial and sporadic cancers. nucleophosmin (Kawagishi,Nakamura ,Maruyama
More than 50 % of human cancers caused due to the , Mizutani , Sugimoto , Takagi , Sugimoto).This pathway
mutations in TP53 or inactivation of p53 pathway apparently supports to protect the organism from cells
(overproduction of p53 inhibitor MDM2 –murine double that recruit anomalous oncogenic factors and may be turn
minute2).Myc is a transcription factor which activates Arf into cancers (Sherr, 2001). Recent genetic studies are
dependent p53 pathway (Evan and Vousden, 2001; Ko and supporting the evidence for p53 independent function of
Prives, 1996). Mdm2 (Freedman et., al 1999).
Abnormal oncogenic factors are usually responsible in In this study we observed the different levels of Arf and
ARF p53 status in tumor samples which are harvested from
activation of p53 through the p19 pathway (Sherr and lambda-myc mice, and searching for a novel oncogene in
ARF
Weber, 2000; Sherr, 2001). The intensity of p19 protein p53 KO mouse embryonic fibroblasts, so that we used p53
is increased by the tumorigenic signaling, as occurs with KO mouse embryonic fibroblast with retroviruses
overexpression of c-myc or mutational activation of ras containing c DNA library from Daudi cell line for screening
of novel oncogene. Ribosomal protein-Mdm2 interactions
(Palmero et al., 1998; Zindy et al., 1998). The rising ARF
are focusing the new insights for the cancer therapy,
level is affecting the inhibition of Mdm2-mediated through p53 independent Mdm2 (RING finger) functions
ubiquitylation of p53 (Kamijo et al., 1998; Zhang et al., (Marine,et., al 2010).
1998), where p53 undergoes degradation in 26S
proteasomes (Roth et., al.1998).
Significance
Ribosomal proteins are in the limelight of the modern cancer research. In our studies we found about the unique oncogenic
capability of the human ribosomal protein L10a (RPL10a) in a p53-Knock out mouse embryonic fibroblast cells. The recent studies
suggesting that similar interaction between RP-Mdm2 provokes the formation of Eµ Myc induced lymphomas. We put forward that
the interaction between RPL10a and Mdm2 can imitate some effects of Myc over-expression, contributing in the tumor (lymphoma)
progression in the loss of p53 function.
2. ARTICLE
Results
Western Blot analysis of p53 and ARF expressions
The λ Myc lymphoma samples contained different 14
ARF
levels of p53 , p19 which is illustrated by the
12
Western Blot results. In case of sample 1 (λ 956) and
Number of Foci
10
sample 2 (λ959) p53 expression is normal, while
sample 3 (λ 962) showed that p53 was mutated. 8
6
4
2
0
RV-cDNA cDNA Uninfected
Figure 2. Number of foci observed after infection of
p53KOMEFs.
Daudi cell line cDNA library were used to transform
p53KOMEFs. The cells were also aseptically cultured as a
negative control (uninfected). Followed by 19-days of cell
culture, number of foci was obtained as 8, and 12, foci for
retroviral control, cDNA library, and uninfected plates,
Figure 1. Western Blot Analysis of p53 and ARF Levels.
respectively.
The above samples, sample 1 (λ 956),sample 2 (λ
959),sample3 ( λ 962), were analyzed by western blot
using anti-p53, anti-ARF, and anti-actin antibodies. The
analysis showed different variations of p53 and ARF
expression.Sample3 ( λ 962) indicated that overexpession
of ARF and mutated p53 also observed,while sample 1 and
sample 2 showed normal expression of p 53 ,however no
ARF.
Searching for novel oncogene by cDNA library
p 53 Knockout (KO) mouse embryonic fibroblast
(MEF) cells were infected with the Viraport XR
plasmid Daudi cDNA library, transformation was
determined by foci formation as mentioned in figure Figure 3. PCR reaction and DNA extraction from agarose
gel.
2. PCR analysis of some foci results in the formation
of smear but some of the foci shows two or three The genomic DNA was extracted from 9 foci followed by
bands. Lane 1 represents DNA ladder (1Kb marker), PCR analysis and loaded on an agarose gel .6 bands were
On Lane 2, 5 and 9 foci bands were not separated selected and sent for sequencing. The band 4 resembles to
well. Foci bands which were well separated and the gene coding for RPL10a.
strong were selected for sequencing.
3. ARTICLE
Table 1. Sequencing Result of Band 3
Caaatgtgccttaatataggcgctggggcttgcccatggtgctcttgatatataaggcccggacattctgccagtttttcttgggcaatgacaccaagaagttgacagcc
aggtgaatgttatacacaagctcatcgtctgtcatcttcacgtgaccaacagctacagccagacataacaccttcttcatttggaacttgattgtggacttcacctcatcc
actttggccaccatgttttcgttgtgtgtgagcagggaagggaactttcctgccttatttaaacctgggccgaggattcgtggaatctgcttgatcagagactctgaggc
caaaaacgcatcatatttcttggccagcttcttgaccagttttttattcttgttgagttttttcagcgcctcgatgtccatgtgggggatatccacggccttagcctcgtcac
agtgctgctggtcccccaggacacacacagagaacttagggcggggagtggacttaagcctgacggtgcccgagaagcgcttgtccttctggggatcatagttcttca
agctgatctgcaactccaccgtctccaggaacttgcggcgcttgcgctggttcccgtgcaggacttcccgcaccgcctcgtacagggtgtcgcgagagactttgcctcgt
gccgaattcgtcgacaattcgatccggcagtctagaggatggtccacccccggggtcggcagccttcacgtgggcggcgtgtatccaagctgcgatgccgtctactttg
agggcggtgggggtggtcagcaggactgtgtaaggtcctttccagcgaggttctaggttcttagtctggtgtcggcggacccacactgt
Gel electrophoresis results of mini preparations After sequencing the selected 6 bands (Figure 3)
plasmid DNA. were identified as bands 1, 3 and 4(Figure 4)
representing novel oncogenes. The band 2 correlates
Comparison between the Miniprepartions plamid the genes from untransformed cells next to
DNA digested with restiction enzymes(Eco RI) or un transformed cells, and accidentally harvested. The
digested using Gel electrophoresis analysis which gene which is band 3 out of the three bands (Figure
indicates that colony 3 Eco RI digested sample match 4) selected for sequencing, the sequenced gene was
with the PCR product band 4 ,we isolated from the identified through BLAST search as Gene ID: 4736
PCR analysis (figure 3).The insert bands from Figure (Ribosomal Protein L10a) and the details mentioned
4 match the PCR product band from figure 3. in Table 1.
Discussion
Precise diagnostic and therapeutic stratagies could
be developed by understanding the biochemical,
cellular,and molecular mechanisms which are the
back bone of the different stages of cancer
development.
The western Blot analysis results show the p53 level,
sample one and two are almost similar, but it was
quite higher in third sample. In sample one and two
there is no Arf expression which is similar to loss of
Arf function observed in 24 % of overall Arf- MdM2-
p53 pathway deregulation (Eischen., et.al 1999 ), but
Figure 4. Plasmid DNA digestion with EcoRI.
the third sample indicating the overexpression of
After incubation of plasmid samples with EcoRI, the both p53 and Arf. In p53 KO cells, ARF directly binds
digested samples (D) and undigested plasmids (UD) were to c-Myc protein and inhibits c-Myc–induced
loaded on an agarose gel. Two different DNA band sizes hyperproliferation and transformation with
were observed between UD and D plasmids extracted associated inhibition of acknowledged c-Myc target
from all colonies. The digested plasmid DNA samples 1, 3, gene induction (Boone., et al 2010).The p53 is
and 4 showed two bands representative for successful
stabilized by Arf by binding with MDM2, so it would
enzymatic digestion.
have also expressed at higher levels as p53, due to
deregulation of myc (Translocation of myc gene
4. ARTICLE
between chromosome 8 and chromosome 14-t8:14, Experimental Procedures
leads to Burkitt’s lymphoma.
Analysis of Myc lymphomas
The number of foci found in the plates is important,
which indicate the efficiency of transformation of The λ Myc lymphoma samples were harvested from
mouse embryonic cells to transformed cells. The p53 mice and kept frozen until added the lysis buffer to
KO mouse fibroblast embryonic cells transformed each pellet, dissolved it by pipetting up and down.
with the cDNA vector identified as the novel Homogenize the samples with the help of 20 gauge
needle and syringe. The samples were centrifuged at
oncogene ribosomal protein (RP L10a). Many of the
1500 rpm for 5 minutes. The supernatant (Protein
ribosomal proteins are majorly involved in the RP-
solution) transferred to fresh tube and replaced it on
Mdm2 interaction to inhibit the ribosomal ice. BioRad protein assay solution was used for
biogenesis (Macius et al 2010). The development of quantification of protein samples.
Eµ-Myc-generated B-cell lymphomas and intestinal
adenomas as a result of APC loss are delayed in mice Western blot was performed using primary
with decreased levels of Mdm2. Loss of RP-Mdm2 antibodies α-p53 (1:500/ Sigma), α-Arf (1:500/Santa
interaction provokes Eµ-Myc induced Cruz), and anti-β-actin (1:20,000 /Sigma). After
lymphomagenesis. c-Myc upregulates ribosome incubation the membrane was washed off and
biogenesis through the activation of many nucleolar treated with developing liquid- SuperSignal West
proteins which involved in this process (Ruggero and Dura (Pierce) followed by developed on X-ray film
(Fujifilm Lifescience).
Pandolfi 2003). Eµ-Myc transgenic mice develop B
cell lymphomas (Adams et al., 1985) similar to that Harvesting of Foci, DNA extraction and its
which are observed in Bukitt’s lymphomas bearing a amplification
translocated (t8;14) c-MYC allele(Alitalo et al.,
1987).Similar to the mammalian system, deficiency p53 Knockout (KO) mouse embryonic fibroblast
of several Ribosomal proteins in zebrafish also (MEF) cells were plated at a density of 180,000
initiates p53 dependent cell growth arrest and cells/6 cm on a petridish (Delta Si) and infected with
apoptosis. Overexpression of RP initiates tumor Viraport XR plasmid cDNA library supplemented with
formation (Chakraborty et., 2009). In case of p53 8 µg/mL of polybrene (Sigma) and cultured in DMEM
independent functions of Mdm2, likewise in Mdm2 (GIBCO) medium. The mouse embryonic fibroblast
(RING Domain basis) ubiquitylation contributes to (MEF) cell culture plate and mouse embryonic
Ras-ERK- mediated degradation of the transcription
fibroblast (MEF) cells containing viral vector were
factor, FOXO3a to promote cell proliferation (Marine
used as control to compare the cell morphology.
et., al 2010). Another evidence for p53 independent
Media was drained off and then PBS added to the
Mdm2 action is the ability of the Mdm2 to induce
cells. Foci harvested under the inverted microscope
monoubiquitylation of dihydrofolate reductase
by using the pipette tip and transferred to eppendrof
(Maguire et., al 2008). The other proteins include Rb,
tube.
E2F1 and Samds are also supporting the Mdm2
oncogenic function of p53 independent and Mdm2
Identification of novel oncogene RPL 10a
plays a key role in IGF1R mediated p53 independent
proapoptotic function. In fact identification of Direct PCR lysis reagent (Viagen Biotech) used to
MDM2-RP interactions provides the new thought isolate genomic DNA from foci. Lysates were
puts to develop anticancer drugs (Kawai et., al 2003). analyzed using PCR under conditions specified in the
Viraport Manual. After size separation on an agarose
gel, specified bands were then isolated for further
analysis. QIAquick Gel Extraction kit was used to
remove agarose from DNA. The eluted DNA (30 µl)
from gel extraction procedure was sent for DNA
5. ARTICLE
sequencing (GATC Biotech), the remaining samples and Yanping, Z. (2010). An ARF-independent c-MYC-
pooled (120 µl) together in one eppendrof tube and activated tumor suppression pathway mediated by
ribosomal protein-Mdm2 interaction. Cancer cell 18, 231-
used for cloning (ligation, transformation). Ligation 243.
reaction was carried out with the pGEMT easy
cloning kit (Fermentas). Freedman DA, Wu L, Levine AJ (1999) Functions of the
MDM2 oncoprotein. Cell Mol Life
The mini preparation plasmid DNA was digested with Sci 55, 96–107.
restriction enzyme Fast Digest EcoR1 (Fermentas) Kawai, H., Wiederschain, D., and Yuan, Z.M. (2003). Critical
and separated by agarose gel electrophoresis. contribution of the MDM2 acidic domain to p53
ubiquitination. Mol. Cell. Biol. 23, 4939-4947.
Acknowledgments
Ruggero, D., and Pandolfi, P.P. (2003). Does the ribosome
We thank to Dr. Jonas Nilsson, Mr. Linus Plym translate cancer? Nat. Rev. Cancer 3, 179-192.
Forshell, Mrs. TachaZi Plym Forshell and Mr.
Kamijo, T., Weber, J. D., Zambetti, G., Zindy, F., Roussel, M.
Pramod.K, for their guidance and the knowledge
F. and Sherr, C. J. (1998). Functional and physical
they imparted to us. We also thank to our laboratory
mates for their cooperation and support. interactions of the ARF tumor suppressor with p53 and
Mdm2. Proc. Natl. Acad. Sci. USA 95, 8292-8297.
Kawagishi, H., Nakamura, H., Maruyama, M., Mizutani, S.,
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