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Related Concept Videos

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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
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Related Experiment Video

Updated: Mar 19, 2026

Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis
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Identification of Tissue-Specific Protein-Coding and Noncoding Transcripts across 14 Human Tissues Using RNA-seq.

Jinhang Zhu1, Geng Chen1, Sibo Zhu1,2

  • 1Center for Pharmacogenomics, School of Pharmacy, and State Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai 201203, China.

Scientific Reports
|June 23, 2016
PubMed
Summary
This summary is machine-generated.

This study analyzed gene expression in 14 human tissues, identifying thousands of tissue-specific transcripts (TSCTs and TSNTs). Testis showed the highest number, with potential roles in tissue-specific functions and diseases.

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Area of Science:

  • Genomics
  • Molecular Biology
  • Human Physiology

Background:

  • Tissue specificity is crucial for many diseases and drug reactions.
  • Understanding transcript expression across human tissues is essential for biological insight.

Purpose of the Study:

  • To comprehensively analyze tissue-specific transcript expression in 14 human tissues.
  • To identify and characterize protein-coding and noncoding tissue-specific transcripts (TSCTs and TSNTs).
  • To explore the functional roles of TSCTs and TSNTs in tissue-specific processes.

Main Methods:

  • Deep RNA sequencing of 14 distinct human tissue samples.
  • Bioinformatic filtering to identify protein-coding and noncoding transcripts.
  • Analysis of highly expressed tissue-specific transcripts (TSCTs and TSNTs).
  • Construction of co-expression networks and functional enrichment analysis (KEGG pathways).

Main Results:

  • Identified 24,729 protein-coding and 1,653 noncoding transcripts.
  • Testis exhibited the highest abundance of both TSCTs and TSNTs.
  • Brain, monocytes, ovary, and heart showed higher TSCT expression; brain, placenta, heart, and monocytes showed higher TSNT expression.
  • Co-expression networks facilitated functional annotation of TSNTs.
  • Enrichment analysis revealed tissue-specific biological processes and pathways linked to TSCTs.

Conclusions:

  • TSCTs and TSNTs are key players in tissue-specific physiological and pathological processes.
  • The study provides a valuable dataset and analysis for investigating tissue-specific diseases and drug reactions.
  • Future research can leverage these findings to understand disease mechanisms and adverse drug effects.