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Mesenchymal Stem Cells

Mesenchymal Stem Cells

Mesenchymal stem cells (MSCs) are adult stem cells that can differentiate into most connective tissue cell types, except for hematopoietic cells, depending upon the source of MSCs. For example, bone-marrow-derived MSCs (BM-MSCs) can differentiate into osteocytes, hepatocytes, and pancreatic and neuronal cells. MSCs can be isolated from various sources such as bone marrow, placenta, adipose tissue, teeth, and Wharton’s jelly, a gelatinous substance in the umbilical cord. The ease of their...

lncRNA - Long Non-coding RNAs

lncRNA - Long Non-coding RNAs

In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...

lncRNA - Long Non-coding RNAs

lncRNA - Long Non-coding RNAs

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Related Experiment Video

Updated: Nov 3, 2025

Isolating, Sequencing and Analyzing Extracellular MicroRNAs from Human Mesenchymal Stem Cells

Isolating, Sequencing and Analyzing Extracellular MicroRNAs from Human Mesenchymal Stem Cells

Published on: March 8, 2019

Long non-coding RNA exploration for mesenchymal stem cell characterisation.

Sébastien Riquier¹, Marc Mathieu¹, Chloé Bessiere¹

¹IRMB, University of Montpellier, INSERM, 80 rue Augustin Fliche, Montpellier, France.

|June 5, 2021

Summary

This summary is machine-generated.

Researchers identified novel long non-coding RNAs (lncRNAs) as potential biomarkers for Mesenchymal Stem Cells (MSCs). This discovery offers new tools for understanding MSC biology and clinical applications.

Keywords:

Bioinformatics Long non-coding RNA Mesenchymal stem cell NGS analysis RNAseq Transcriptomics

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Isolation & Characterization of Hoechstlow CD45negative Mouse Lung Mesenchymal Stem Cells

Isolation & Characterization of Hoechstlow CD45negative Mouse Lung Mesenchymal Stem Cells

Published on: October 26, 2011

Related Experiment Videos

Last Updated: Nov 3, 2025

Isolating, Sequencing and Analyzing Extracellular MicroRNAs from Human Mesenchymal Stem Cells

Isolating, Sequencing and Analyzing Extracellular MicroRNAs from Human Mesenchymal Stem Cells

Published on: March 8, 2019

Differentiation of a Human Neural Stem Cell Line on Three Dimensional Cultures, Analysis of MicroRNA and Putative Target Genes

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Published on: April 12, 2015

Isolation & Characterization of Hoechstlow CD45negative Mouse Lung Mesenchymal Stem Cells

Isolation & Characterization of Hoechstlow CD45negative Mouse Lung Mesenchymal Stem Cells

Published on: October 26, 2011

Area of Science:

Transcriptomics
Stem Cell Biology
Bioinformatics

Background:

RNA sequencing (RNAseq) enables new approaches for identifying transcriptional markers.
Long non-coding RNAs (lncRNAs) show potential for tissue-specific functions.
Mesenchymal Stem Cells (MSCs) are clinically relevant but lack extensive characterization.

Purpose of the Study:

To explore the biomarker potential of lncRNAs in Mesenchymal Stem Cells (MSCs).
To develop a method for identifying cell-specific unannotated lncRNAs.

Main Methods:

Developed a bioinformatics pipeline for ab initio transcript identification and expression quantification.
Utilized a k-mer approach for naive quantification of lncRNA expression from RNAseq data.
Applied functional prediction methods to assess the role of identified lncRNAs.

Main Results:

Identified novel lncRNAs with high specificity in MSCs.
Demonstrated that candidate lncRNAs represent specific states of MSC biology.
Highlighted potential lncRNA actors involved in MSC functions.

Conclusions:

The developed approach effectively harnesses lncRNAs as cell-specific markers.
Identified lncRNAs offer promising candidates for future experimental validation in MSC biology.