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Related Concept Videos

Ribosome Profiling02:24

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...
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...
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...
DNA Microarrays02:34

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...

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Related Experiment Video

Updated: Jul 12, 2026

Comprehensive Spatial Profiling of Species-agnostic Transcriptomes via Stereo-seq
10:22

Comprehensive Spatial Profiling of Species-agnostic Transcriptomes via Stereo-seq

Published on: October 31, 2025

Beyond gene expression: Single-cell transcriptomics at isoform resolution.

Feng Wang1, Yi Xing2, Lan Lin3

  • 1Center for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.

Trends in Genetics : TIG
|July 9, 2026
PubMed
Summary
This summary is machine-generated.

Isoform-resolved single-cell RNA sequencing (scRNA-seq) now reveals transcript diversity and alternative splicing in individual cells. This advancement enhances our understanding of cell-type-specific gene expression regulation.

Keywords:
RNA-seqalternative splicinglong-read RNA sequencingsingle-cell RNA sequencingtranscript isoformtranscriptomics

More Related Videos

Transcriptome Analysis of Single Cells
07:27

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

Related Experiment Videos

Last Updated: Jul 12, 2026

Comprehensive Spatial Profiling of Species-agnostic Transcriptomes via Stereo-seq
10:22

Comprehensive Spatial Profiling of Species-agnostic Transcriptomes via Stereo-seq

Published on: October 31, 2025

Transcriptome Analysis of Single Cells
07:27

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

Area of Science:

  • Molecular Biology
  • Genomics
  • Bioinformatics

Background:

  • Traditional single-cell RNA sequencing (scRNA-seq) primarily captures gene expression from transcript ends, limiting analysis to overall gene levels.
  • This approach overlooks crucial information about alternative splicing and transcript isoform diversity within individual cells.
  • Understanding cellular heterogeneity requires a deeper look into the complexity of RNA transcripts.

Purpose of the Study:

  • To review the evolution and innovations in isoform-resolved scRNA-seq technologies.
  • To highlight experimental and computational advancements enabling full-length transcript analysis at the single-cell level.
  • To discuss the applications and emerging impact of isoform-resolved scRNA-seq in single-cell biology.

Main Methods:

  • Short-read technologies that span full-length transcripts.
  • Long-read technologies that sequence full-length transcripts end-to-end.
  • Computational methods for analyzing isoform diversity and alternative splicing from scRNA-seq data.

Main Results:

  • Isoform-resolved scRNA-seq enables characterization of alternative splicing variation at single-cell resolution.
  • Transcript isoform diversity can now be analyzed in individual cells, filling critical knowledge gaps.
  • These methods provide insights into cell-type-specific transcript isoform usage and its regulation.

Conclusions:

  • Isoform-resolved scRNA-seq represents a significant advancement over traditional methods.
  • This technology is crucial for a comprehensive understanding of transcriptome variation and RNA processing in single cells.
  • Its applications are expanding, offering new dimensions to single-cell biology research.