The central dogma of genetics describes the flow of genetic information from DNA to RNA to proteins. Two articles discuss cancer-causing mechanisms related to this dogma. One found that the enzyme APOBEC3G can induce mutations during DNA replication that lead to cancer. The other identified that cancer cells rely on the protein SMARCAL1 to resolve replication stress and maintain telomere length through the ALT pathway. Further research is needed to identify targets of these carcinogenic processes to develop new treatment strategies.
This presentation contain information about molecular biology and laboratory technics, specially alternative splicing.
all of them to try to explain cancer etiology, give on the molecular bases.
This presentation contain information about molecular biology and laboratory technics, specially alternative splicing.
all of them to try to explain cancer etiology, give on the molecular bases.
Dissertation topics on cellular basics of cancer and therapeutics - PubricaPubrica
• Researching cancer and its therapeutics is an important tool for cancer studies and medical writing services.
• The important topics to be covered while writing a thesis for cancer and its therapeutics are discussed in scientific medical writing.
• Pubrica is here to help with the easy scientific medical writingabout cancer research and its therapeutics.
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An understanding towards genetics and epigenetics is essential to cope up with the paradigm shift which is underway. Personalized medicine and gene therapy will confluence the days to come.
This review highlights traditional approaches as well as current advancements in the analysis of the gene expression data from cancer perspective.
Due to improvements in biometric instrumentation and automation, it has become easier to collect a lot of experimental data in molecular biology.
Analysis of such data is extremely important as it leads to knowledge discovery that can be validated by experiments. Previously, the diagnosis of complex genetic diseases has conventionally been done based on the non-molecular characteristics like kind of tumor tissue, pathological characteristics, and clinical phase.
The microarray data can be well accounted for high dimensional space and noise. Same were the reasons for ineffective and imprecise results. Several machine learning and data mining techniques are presently applied for identifying cancer using gene expression data.
While differences in efficiency do exist, none of the well-established approaches is uniformly superior to others. The quality of algorithm is important, but is not in itself a guarantee of the quality of a specific data analysis.
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Dissertation topics on cellular basics of cancer and therapeutics - PubricaPubrica
• Researching cancer and its therapeutics is an important tool for cancer studies and medical writing services.
• The important topics to be covered while writing a thesis for cancer and its therapeutics are discussed in scientific medical writing.
• Pubrica is here to help with the easy scientific medical writingabout cancer research and its therapeutics.
Full Information: https://bit.ly/3llZgmV
Reference: https://pubrica.com/services/physician-writing-services/
Why Pubrica?
When you order our services, we promise you the following – Plagiarism free, always on Time, outstanding customer support, written to Standard, Unlimited Revisions support and High-quality Subject Matter Experts.
Contact us :
Web: https://pubrica.com/
Blog: https://pubrica.com/academy/
Email: sales@pubrica.com
WhatsApp : +91 9884350006
United Kingdom: +44- 74248 10299
An understanding towards genetics and epigenetics is essential to cope up with the paradigm shift which is underway. Personalized medicine and gene therapy will confluence the days to come.
This review highlights traditional approaches as well as current advancements in the analysis of the gene expression data from cancer perspective.
Due to improvements in biometric instrumentation and automation, it has become easier to collect a lot of experimental data in molecular biology.
Analysis of such data is extremely important as it leads to knowledge discovery that can be validated by experiments. Previously, the diagnosis of complex genetic diseases has conventionally been done based on the non-molecular characteristics like kind of tumor tissue, pathological characteristics, and clinical phase.
The microarray data can be well accounted for high dimensional space and noise. Same were the reasons for ineffective and imprecise results. Several machine learning and data mining techniques are presently applied for identifying cancer using gene expression data.
While differences in efficiency do exist, none of the well-established approaches is uniformly superior to others. The quality of algorithm is important, but is not in itself a guarantee of the quality of a specific data analysis.
http://kaashivinfotech.com/
http://inplanttrainingchennai.com/
http://inplanttraining-in-chennai.com/
http://internshipinchennai.in/
http://inplant-training.org/
http://kernelmind.com/
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Key achievements in cancer research at Cold Spring Harbor Laboratory: May 201...cshlnews
May is National Cancer Research Month. In recognition, here's a glimpse of key achievements in cancer research over the last 12 months (May 2010 - May 2011) at Cold Spring Harbor Laboratory, which has been an NCI-designated Cancer Center since 1987.
Intracellular Events in Antigen Processing.pptxDr.Kanury Rao
Intracellular signaling or events are caused on the surfaces of the cells. Dr. Kanury Rao, the greatest immunologist of all time, has conducted an in-depth analysis of intracellular events to develop a tool for early detection of cancer.
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.
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
The increased availability of biomedical data, particularly in the public domain, offers the opportunity to better understand human health and to develop effective therapeutics for a wide range of unmet medical needs. However, data scientists remain stymied by the fact that data remain hard to find and to productively reuse because data and their metadata i) are wholly inaccessible, ii) are in non-standard or incompatible representations, iii) do not conform to community standards, and iv) have unclear or highly restricted terms and conditions that preclude legitimate reuse. These limitations require a rethink on data can be made machine and AI-ready - the key motivation behind the FAIR Guiding Principles. Concurrently, while recent efforts have explored the use of deep learning to fuse disparate data into predictive models for a wide range of biomedical applications, these models often fail even when the correct answer is already known, and fail to explain individual predictions in terms that data scientists can appreciate. These limitations suggest that new methods to produce practical artificial intelligence are still needed.
In this talk, I will discuss our work in (1) building an integrative knowledge infrastructure to prepare FAIR and "AI-ready" data and services along with (2) neurosymbolic AI methods to improve the quality of predictions and to generate plausible explanations. Attention is given to standards, platforms, and methods to wrangle knowledge into simple, but effective semantic and latent representations, and to make these available into standards-compliant and discoverable interfaces that can be used in model building, validation, and explanation. Our work, and those of others in the field, creates a baseline for building trustworthy and easy to deploy AI models in biomedicine.
Bio
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research explores socio-technological approaches for responsible discovery science, which includes collaborative multi-modal knowledge graphs, privacy-preserving distributed data mining, and AI methods for drug discovery and personalized medicine. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon Europe, the European Open Science Cloud, the US National Institutes of Health, and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
A brief information about the SCOP protein database used in bioinformatics.
The Structural Classification of Proteins (SCOP) database is a comprehensive and authoritative resource for the structural and evolutionary relationships of proteins. It provides a detailed and curated classification of protein structures, grouping them into families, superfamilies, and folds based on their structural and sequence similarities.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
Multi-source connectivity as the driver of solar wind variability in the heli...Sérgio Sacani
The ambient solar wind that flls the heliosphere originates from multiple
sources in the solar corona and is highly structured. It is often described
as high-speed, relatively homogeneous, plasma streams from coronal
holes and slow-speed, highly variable, streams whose source regions are
under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify
solar wind sources and understand what drives the complexity seen in the
heliosphere. By combining magnetic feld modelling and spectroscopic
techniques with high-resolution observations and measurements, we show
that the solar wind variability detected in situ by Solar Orbiter in March
2022 is driven by spatio-temporal changes in the magnetic connectivity to
multiple sources in the solar atmosphere. The magnetic feld footpoints
connected to the spacecraft moved from the boundaries of a coronal hole
to one active region (12961) and then across to another region (12957). This
is refected in the in situ measurements, which show the transition from fast
to highly Alfvénic then to slow solar wind that is disrupted by the arrival of
a coronal mass ejection. Our results describe solar wind variability at 0.5 au
but are applicable to near-Earth observatories.
Multi-source connectivity as the driver of solar wind variability in the heli...
The central-dogma-oh-genetic-information
1. The central dogma of
genetic information
Daniel Madrid Gómez
Third Semester
Molecular Biology
2.
3.
4. DNA RNA PROTEINS
- Replication: Process of duplication of DNA
- Transcription: Synthesis of RNA by the mold of DNA
- Splicing: Post-transcriptional process were some árts of
the RNA secuence are eliminated, implicates the RNA
maduration.
- Traduction: Synthesis of proteins by the RNAm molds
6. They have identified a genetic mechanism with the
ability of leading to mutations that can lead to cáncer.
Their E. Coli sudy found out that the enzyme
APOBEC3G, a trigger for mutations can turn benign
tumor cells to transformm into cancerous
malignances. These changes are done during the
DNA replication.
7. This study got support from the Wayne State
School Of Medicine, that provided expertise on
APOBEC3G, The experiments were all done at
Indiana University
"Many tumors accumulate mutations during their
growth, which lead to the subsequent
characteristics that permit metastasis," said
Patricia Foster, Ph.D., principal investigator.
8. These results can be really important for
personalized medicine. Due to the possibility of
identifying tumors with vulnerability to the
enzyme. Finding the ways to supress the
expression of this enzyme could be the way to
get the treatment.
9. Cancer-Causing Enzyme Acts during DNA
Replication
Student’s Observation:
Nowadays is really important to know the
different mechanisms that happen to grow up a
cáncer, so personally i can say that there should
be more studies about this topic, to know and
then develop a treatment to those different
mechanisms, that way we could stop cáncer
even before the DNA replication.
10. Researchers tease apart a pathway certain
cancer cells use to replicate
Boston University Medical Center, January 28,
2016
11. Researchers identified that the replication stress
response protein SMARCAL1 is a key to the ALT
pathway (Alternative Lengthening of Telomeres
pathway) which is an ability that cancer cells use to
mantain their telomere lenght.
12. This study was done by researchers from Boston University School
Of Medicine
"Our study suggests that ALT telomeres experience chronic
replication stress (a type of DNA damage that is not highly
prevalent at 'normal' telomeres) and therefore, rely on SMARCAL1
to resolve this replication stress and maintain telomere stability. In
the absence of SMARCAL1, the accumulation of replication stress at
ALT telomeres leads to the formation of DNA double strand breaks
and consequently, drives massive genomic instability," explained
corresponding author Rachel Flynn, PhD
13. It has been described that the ALT pathway is
active especially in aggressive cancer, incluiding
osteosarcoma, glioblastoma and some pancreatic
tumors, often resistant to standard
chemotherapeutic strategies.
14. Researchers tease apart a pathway certain
cancer cells use to replicate
Student’s observation
Student’s observation: I can tell is really surprising
how scientist have even determined the direct
mechanism that cáncer cells use to replicate. This
way there’s the clue to reach a way to stop the
cáncer cell replication and then go for the best
treatment available.
16. The central dogma of the genetic information
is an important topic, and a target for the
medical utilities, specially in diseases like
cancer, where there’s an uncontrolled cell
proliferation
17. Knowing the different mechanisms of the central
dogma is essential for arrest and detain mutations
and cáncer cells triggers, by recognizing the different
enzymes and molecules implicated in diverse
diseases.
18. Both of these articles show us how there are
various mechanisms implicated in cancer, related
to the central dogma. However the research
made cannot stay there, is essential to do more
investigations to find targets and arrest their
carcinogenic function
19. Bibliography
- Digravio, G. (28 de January de 2016). Medicalxpress.
Obtenido de http://medicalxpress.com/news/2016-01-pathway-cancer-
cells-replicate.html
- genengnews. (2 de February de 2016).
Obtenido de http://www.genengnews.com/gen-news-highlights/cancer-
causing-enzyme-acts-during-dna-replication/81252312/
- Martínez, L. (2015). Biología molecular séptima edición. En L.
Martínez, Biología Molecular (págs. 74-85). Medellín: UPB.
