Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

RNA-seq

RNA-seq

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.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

SMPD3 suppresses oligodendroglioma growth via dual autocrine-paracrine roles.

Communications biology·2026

Same author

Accelerating Leigh syndrome drug discovery through deep learning screening in brain organoids.

Nature communications·2026

Same author

Plagl1 regulates the retinal progenitor cell to Müller glial cell transition.

PLoS genetics·2026

Same author

Health outcomes after national acute sleep deprivation events among the American public.

JCI insight·2025

Same author

MicroRNA-mediated neuronal detargeting alters astrocyte cell fate conversion trajectories in vivo.

Communications biology·2025

Same author

Endothelial ADAR1 Deficit Induces the NOCT-IRF7 Axis in Pulmonary Hypertension.

Circulation research·2025

Same journal

Inhibition of inflammation and senescence with azole compound C7 enables expansion of hematopoietic stem and progenitor cells.

Stem cells translational medicine·2026

Same journal

The role of endothelial colony forming cells in the treatment of limb ischaemia: challenges in clinical translation.

Stem cells translational medicine·2026

Same journal

Addressing bioenergetic deficits and restoring mitochondrial health in transplanted islets using mesenchymal stem cells.

Stem cells translational medicine·2026

Same journal

HO-1-modified umbilical cord MSCs alleviate pulmonary arterial hypertension by reducing inflammation and endothelial dysfunction.

Stem cells translational medicine·2026

Same journal

Co-culturing hiPSC-cardiomyocytes and cardiac fibroblasts enhances engineered heart tissue structure and function.

Stem cells translational medicine·2026

Same journal

The mitochondria-targeting compound PTC299 enhances megakaryocyte and platelet production.

Stem cells translational medicine·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Dec 3, 2025

Cell Based Assays of SINEUP Non-coding RNAs That Can Specifically Enhance mRNA Translation

Cell Based Assays of SINEUP Non-coding RNAs That Can Specifically Enhance mRNA Translation

Published on: February 1, 2019

TransSynW: A single-cell RNA-sequencing based web application to guide cell conversion experiments.

Mariana Messias Ribeiro¹, Satoshi Okawa^1,2, Antonio Del Sol^1,3,4

¹Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Belvaux, Luxembourg.

Stem Cells Translational Medicine

|October 30, 2020

Summary

This summary is machine-generated.

Researchers developed TransSynW, a web tool using single-cell RNA sequencing (scRNA-seq) data to predict transcription factors for cell conversion. This aids in generating specific cell types for regenerative medicine and cell therapies.

Keywords:

cellular therapy clinical translation differentiation direct cell conversion genomics reprogramming synergy transcription factors

More Related Videos

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells

Published on: January 7, 2020

Related Experiment Videos

Last Updated: Dec 3, 2025

Cell Based Assays of SINEUP Non-coding RNAs That Can Specifically Enhance mRNA Translation

Cell Based Assays of SINEUP Non-coding RNAs That Can Specifically Enhance mRNA Translation

Published on: February 1, 2019

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells

Published on: January 7, 2020

Area of Science:

Stem cell biology
Regenerative medicine
Computational biology

Background:

Cell conversion is challenging, especially for novel subtypes identified by single-cell technologies.
Generating diverse functional cells is a growing area of interest in research.
Existing methods lack user-friendly computational tools for predicting cell conversion strategies.

Purpose of the Study:

To develop a user-friendly computational tool, TransSynW, for predicting cell conversion transcription factors.
To facilitate the derivation of specific cell types for therapeutic applications.
To aid researchers in designing novel cell conversion protocols.

Main Methods:

Utilized single-cell RNA sequencing (scRNA-seq) data to predict transcription factors (TFs).
Developed a web application, TransSynW, accessible without programming knowledge.
Prioritized pioneer factors for chromatin accessibility and predicted marker genes for experimental validation.

Main Results:

TransSynW successfully predicted known cell conversion TFs across different specificity levels.
The tool identified pioneer factors crucial for initiating cell conversion.
Marker genes were predicted to assess the efficacy of conversion experiments.

Conclusions:

TransSynW is a valuable, accessible tool for guiding cell conversion experiments.
It supports the generation of novel cell subtypes for stem cell research and regenerative medicine.
The application simplifies the design of cell conversion protocols, accelerating therapeutic development.