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Related Concept Videos

Cell Specific Gene Expression01:58

Cell Specific Gene Expression

Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...
Renal Tubule and Collecting Duct01:24

Renal Tubule and Collecting Duct

The renal tubule is divided into three parts: the proximal convoluted tubule (PCT), the Loop of Henle (LOH), and the distal convoluted tubule (DCT).
Proximal Convoluted Tubule (PCT):
The PCT is the initial segment of the renal tubule, extending from the Bowman's capsule that encloses the glomerulus. Its convoluted structure and microvilli-lined cells increase the surface area for reabsorption. The PCT reabsorbs glucose, amino acids, sodium, and water from the filtrate, ensuring essential...

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Related Experiment Video

Updated: May 27, 2026

Application of Laser Microdissection to Uncover Regional Transcriptomics in Human Kidney Tissue
05:46

Application of Laser Microdissection to Uncover Regional Transcriptomics in Human Kidney Tissue

Published on: June 9, 2020

Gene expression databases for kidney epithelial cells.

Jennifer C Huling1, Trairak Pisitkun, Jae H Song

  • 1National Institutes of Health. 10 Center Dr;. Bldg 10, Rm. 6N260, Bethesda, MD 20892-1603, USA.

American Journal of Physiology. Renal Physiology
|November 25, 2011
PubMed
Summary
This summary is machine-generated.

High-throughput transcriptomic and proteomic data are crucial for modern physiology. This study provides a roadmap to accessible renal tubule epithelia databases for research design and interpretation.

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Isolation, Characterization, And High Throughput Extracellular Flux Analysis of Mouse Primary Renal Tubular Epithelial Cells
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Isolation, Characterization, And High Throughput Extracellular Flux Analysis of Mouse Primary Renal Tubular Epithelial Cells

Published on: June 20, 2018

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Last Updated: May 27, 2026

Application of Laser Microdissection to Uncover Regional Transcriptomics in Human Kidney Tissue
05:46

Application of Laser Microdissection to Uncover Regional Transcriptomics in Human Kidney Tissue

Published on: June 9, 2020

Isolation, Characterization, And High Throughput Extracellular Flux Analysis of Mouse Primary Renal Tubular Epithelial Cells
09:40

Isolation, Characterization, And High Throughput Extracellular Flux Analysis of Mouse Primary Renal Tubular Epithelial Cells

Published on: June 20, 2018

Area of Science:

  • Physiology
  • Genomics
  • Proteomics

Background:

  • The 21st century has seen an increase in high-throughput data from transcriptomic and proteomic studies.
  • These data are relevant to physiological studies but often lack user-friendly formats.
  • Accessibility of such data is crucial for advancing physiological research.

Purpose of the Study:

  • To provide a roadmap to online databases containing transcriptomic and proteomic data.
  • To illustrate the utility of these databases in designing and interpreting physiological studies.
  • To improve accessibility of renal tubule epithelia data.

Main Methods:

  • Compilation of transcriptomic and proteomic data from renal tubule epithelia studies.
  • Organization of data into accessible online databases.
  • Development of a roadmap to navigate these databases.

Main Results:

  • Transcriptomic and proteomic data from renal tubule epithelia are available online.
  • A roadmap to these databases has been created.
  • The databases facilitate the design and interpretation of physiological studies.

Conclusions:

  • Accessible online databases are essential for leveraging high-throughput data in physiology.
  • The provided roadmap enhances the usability of renal tubule epithelia data.
  • This resource supports the integration of multi-omics data into physiological research.