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Related Concept Videos

Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

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Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
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Applications of Molecular Taxonomy01:20

Applications of Molecular Taxonomy

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Molecular taxonomy has revolutionized the understanding and classification of bacteria, providing precise insights into their diversity, evolutionary relationships, and ecological roles. By utilizing molecular techniques such as DNA sequencing and fingerprinting, researchers have made significant strides in various fields related to bacterial studies.Resolving Taxonomic AmbiguitiesMolecular taxonomy has been instrumental in distinguishing closely related bacterial species initially thought to...
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Tumor Progression02:07

Tumor Progression

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Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
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Pharmacogenomics: Identification of New Drug Targets01:29

Pharmacogenomics: Identification of New Drug Targets

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Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...
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Preclinical Development: Overview01:28

Preclinical Development: Overview

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Preclinical development consists of a series of tests that ensure the safety and efficacy of a new therapeutic compound before it is tested in humans. There are four main phases to this process. First, safety pharmacology tests are conducted to ensure the drug does not produce any acutely harmful effects. These tests examine parameters such as bronchoconstriction, cardiac dysrhythmias, blood pressure changes, and ataxia. Next, preliminary toxicological testing is performed to determine the...
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Microorganisms in Medicine and Therapeutics01:29

Microorganisms in Medicine and Therapeutics

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Microorganisms play a fundamental role in vaccine development, gene therapy, and therapeutic production. Their biological properties are harnessed to advance medicine and public health. Beyond immunization, microorganisms contribute to gut health, antibiotic synthesis, and genetic disease treatment.Live Attenuated and Inactivated VaccinesLive attenuated vaccines, such as the measles, mumps, and rubella (MMR) vaccine, utilize weakened forms of pathogens to closely resemble natural infections.
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Related Experiment Video

Updated: May 4, 2026

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
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From molecular understanding to clinical advances.

Chung-Han Lee1, Robert J Motzer1

  • 1Genito-urinary Oncology Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, 1275 York Avenue, New York, NY 10021, USA.

Nature Reviews. Urology
|December 25, 2013
PubMed
Summary

Big data and computational biology identified key mutations and drug targets for clear cell renal cell carcinoma. Ongoing research into cancer

Area of Science:

  • Oncology
  • Genomics
  • Bioinformatics

Background:

  • Clear cell renal cell carcinoma (ccRCC) is the most common subtype of kidney cancer.
  • Advances in big data analytics and computational biology have revolutionized our understanding of cancer genomics.

Purpose of the Study:

  • To highlight the significant mutations and drug targets identified in ccRCC through big data analysis.
  • To emphasize the potential for future clinical benefits derived from molecular insights.

Main Methods:

  • Utilized big data analytics to process large-scale genomic datasets.
  • Applied computational biology approaches to identify actionable mutations and drug targets.

Main Results:

  • Identified several potential actionable mutations in clear cell renal cell carcinoma.

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Comparative Lesions Analysis Through a Targeted Sequencing Approach
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  • Discovered promising drug targets for ccRCC treatment.

    • Conclusions:

    • Big data and computational biology are powerful tools for advancing ccRCC research.
    • Continued exploration of molecular underpinnings will lead to improved clinical outcomes.