Molecular Process Discovery
Molecular Process Discovery - Related Videos
13:00
Low Molecular Weight Protein Enrichment on Mesoporous Silica Thin Films for Biomarker Discovery
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Cited by 11 •
2012
We developed a technology based on mesoporous silica thin film for the selective recovery of low molecular weight proteins and peptides from human serum. The physico-chemical properties of our mesoporous chips were finely tuned to provide substantial control in peptide enrichment and consequently profile the serum proteome for diagnostic purposes.
11:28
Dried Blood Spots - Preparing and Processing for Use in Immunoassays and in Molecular Techniques
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Cited by 175 •
2015
The preparing and processing of dried blood spots (DBS) for their final analysis are still poorly standardized for most diagnostic applications. To overcome this shortcoming, a comprehensive step-by-step protocol is suggested and subsequently evaluated with regard to its effectiveness for detecting markers of viral infections.
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Polymer Microarrays for High Throughput Discovery of Biomaterials
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Cited by 32 •
2012
A description of the formation of a polymer microarray using an on-chip photopolymerization technique. The high throughput surface characterization using atomic force microscopy, water contact angle measurements, X-ray photoelectron spectroscopy and time of flight secondary ion mass spectrometry and a cell attachment assay is also described.
11:25
An Introduction to Cellular and Molecular Neuroscience
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2023
Cellular and molecular neuroscience is one of the newest and fastest growing subdisciplines in neuroscience. By investigating the influences of genes, signaling molecules, and cellular morphology, researchers in this field uncover crucial insights into normal brain development and function, as well as the root causes of many pathological conditions. This video introduction to the fascinating world of cellular and molecular neuroscience begins with a timeline of landmark studies, from the...
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Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
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Cited by 16 •
2013
Human endogenous retroviruses (HERV), which occupy 8% of the human genome, retain scarce coding capacities but a hundred thousand long terminal repeats (LTRs). A custom Affymetrix microarray was designed to identify individual HERV locus expression and was used on prostate cancer tissues as a proof of concept for future clinical studies.
FAQs
Researchers compare genomic and transcriptomic measurements to identify relationships between DNA sequence, gene expression, and downstream molecular activity. Computational analysis helps organize these observations into candidate regulatory pathways, while targeted perturbations test whether a proposed relationship reflects a functional mechanism rather than simple correlation. This combined strategy links genetic information to specific cellular events.
Association alone does not show how a variant changes cellular function. Researchers examine whether the sequence change corresponds to altered gene expression or another molecular event, then use targeted perturbations to test the proposed connection. When the perturbation produces the expected molecular change, the evidence supports a mechanism connecting sequence variation with altered function.
Targeted perturbations provide an experimental test of hypotheses generated from genomic or transcriptomic measurements. By deliberately altering a selected molecular factor and examining the resulting changes, researchers can evaluate whether it participates in a regulatory pathway or functional process. This step moves analysis from descriptive pattern finding toward mechanistic interpretation.
Mapping regulatory pathways shows how changes in one molecular component may influence downstream gene activity or protein function. These maps help researchers organize complex relationships rather than treating each altered gene as an isolated observation. In genetics, pathway-level interpretation can clarify how mutations or expression changes contribute to cellular mechanisms and disease-associated effects.
A typical investigation begins by collecting genomic and transcriptomic measurements, followed by computational analysis to identify informative sequence or expression changes. Researchers then formulate a molecular mechanism, select targeted perturbations, and assess whether the resulting changes support that explanation. The final interpretation connects observed molecular events to gene regulation, replication, RNA processing, protein activity, or another biological function.
Researchers use these approaches to trace disease-associated genetic or expression changes to molecular pathways and functional events. The goal is not only to identify a statistical association, but also to determine how altered regulation or molecular activity may contribute to disease biology. Such mechanistic evidence can improve interpretation of genetic data and highlight processes for further study.
Mechanistic findings provide a stronger basis for interpreting genetic variants and expression changes than isolated measurements alone. By identifying molecular events linked to a genetic alteration, researchers can contribute to predictive models and diagnostic strategies. The same evidence may reveal molecular processes that warrant evaluation as potential therapeutic targets, although discovery itself does not establish clinical effectiveness.