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 microarray-based...

Ribosome Profiling

Ribosome Profiling

Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique helps...

You might also read

Related Articles

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

Sort by

Same author

Unique molecular identifiers don't need to be unique: a collision-aware estimator for RNA-seq quantification.

bioRxiv : the preprint server for biology·2026

Same author

Spurious correlation inflates performance in single-cell perturbation prediction.

bioRxiv : the preprint server for biology·2026

Same author

Inhibition of salt-inducible kinases reprograms T cells and antitumor immunity in ovarian cancer.

Nature immunology·2026

Same author

An image-based transcriptomics atlas reveals the regional and microbiota-dependent molecular, cellular, and spatial structure of the murine gut.

Cell host & microbe·2026

Same author

Publisher Correction: Multimodal cell maps as a foundation for structural and functional genomics.

Nature·2025

Same author

Model-based dimensionality reduction for single-cell RNA-seq using generalized bilinear models.

Biostatistics (Oxford, England)·2025

Same journal

PCSK5 promotes angiogenesis and cardiac repair after myocardial infarction.

Nature communications·2026

Same journal

PfApiAT2 is a proline transporter essential for the transmission of Plasmodium falciparum by the mosquito vector.

Nature communications·2026

Same journal

Transient distortions of the South Atlantic Anomaly radiation environments driven by electric fields.

Nature communications·2026

Same journal

Structural basis of the regulation by CDK11 kinase of early spliceosome activation and evidence for its proofreading by DHX15 helicase.

Nature communications·2026

Same journal

Structural and mechanistic insights into primer synthesis initiation by DNA primase.

Nature communications·2026

Same journal

Changes in heritability and shared environmentality of educational attainment across twentieth-century Norway.

Nature communications·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 12, 2026

Single-cell RNA-Seq of Defined Subsets of Retinal Ganglion Cells

Single-cell RNA-Seq of Defined Subsets of Retinal Ganglion Cells

Published on: May 22, 2017

Robust identification of perturbed cell types in single-cell RNA-seq data.

Phillip B Nicol¹, Danielle Paulson¹, Gege Qian²

¹Harvard University, Cambridge, MA, USA.

Nature Communications

|September 1, 2024

Summary

This summary is machine-generated.

scDist, a new computational tool, accurately detects cell type changes in single-cell transcriptomics data. It overcomes variability issues, improving disease and treatment insights.

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

Single-cell RNA Sequencing and Analysis of Human Pancreatic Islets

Single-cell RNA Sequencing and Analysis of Human Pancreatic Islets

Published on: July 18, 2019

Related Experiment Videos

Last Updated: May 12, 2026

Single-cell RNA-Seq of Defined Subsets of Retinal Ganglion Cells

Single-cell RNA-Seq of Defined Subsets of Retinal Ganglion Cells

Published on: May 22, 2017

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

Single-cell RNA Sequencing and Analysis of Human Pancreatic Islets

Single-cell RNA Sequencing and Analysis of Human Pancreatic Islets

Published on: July 18, 2019

Area of Science:

Computational Biology
Genomics
Immunology

Background:

Single-cell transcriptomics identifies cell roles in disease.
Detecting cell type changes is difficult due to data variability, leading to false positives.

Purpose of the Study:

Introduce scDist, a novel computational tool for robust cell type detection.
Address limitations of current methods in handling individual and cohort variability.

Main Methods:

Developed scDist using a mixed-effects model for statistical rigor.
Validated scDist on simulated and real-world datasets, including COVID-19 and immunotherapy data.

Main Results:

scDist accurately identifies immune cell relationships and mitigates false positives.
Outperforms existing methods, even with small sample sizes.
Uncovers transcriptomic changes in dendritic cells, plasmacytoid dendritic cells, and FCER1G+NK cells.

Conclusions:

scDist offers a statistically rigorous and efficient approach for single-cell transcriptomic analysis.
Provides new insights into disease mechanisms and treatment responses.
Enables broader applications in research and clinical settings for investigating cellular perturbations.