Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

RNA-seq03:21

RNA-seq

9.9K
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...
9.9K
Methods of Nuclear Reprogramming01:24

Methods of Nuclear Reprogramming

1.8K
Nuclear reprogramming is a process of transforming one cell type into an unrelated cell type by epigenetic changes that alter the cell’s original gene expression pattern. Such epigenetic changes force cells to express a different set of genes, which play a significant role in inducing transformation into other cell types. Nuclear reprogramming offers applications in reproductive cloning for livestock propagation and regenerative medicine — developing patient-specific cells for...
1.8K

You might also read

Related Articles

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

Sort by
Same author

Programmable Metal-Organic Framework Biointerfaces Against Pathogens.

Biology·2026
Same author

Ultra-processed food and risk of cholecystitis and cholelithiasis: a prospective cohort study.

Journal of health, population, and nutrition·2026
Same author

Multi-modal data integration reveals functionally credible predictive biomarkers in ovarian cancer.

Genome medicine·2026
Same author

Identification of monotonically classifying pairs of genes for ordinal disease outcomes.

Bioinformatics advances·2026
Same author

FUSE: data-driven functional segmentation of DNA methylation data.

Bioinformatics (Oxford, England)·2026
Same author

PATHOS: Pathology attention framework for treatment response stratification in ovarian high-grade serous carcinomas following neoadjuvant chemotherapy on H&E images.

Journal of pathology informatics·2026

Related Experiment Video

Updated: Jun 23, 2025

Isolation of Nuclei from Flash-Frozen Liver Tissue for Single-Cell Multiomics
09:09

Isolation of Nuclei from Flash-Frozen Liver Tissue for Single-Cell Multiomics

Published on: December 9, 2022

5.7K

Protocol to identify defined reprogramming factor expression using a factor-indexing single-nuclei multiome

Liangru Fei1, Kaiyang Zhang2, Sampsa Hautaniemi2

  • 1Centre for Molecular Medicine Norway, Faculty of Medicine, University of Oslo, Gaustadelléen 21, 0349 Oslo, Norway.

STAR Protocols
|June 23, 2024
PubMed
Summary

This study introduces a novel factor-indexing method for single-nucleus multiome sequencing to precisely track cells during direct cell reprogramming. This approach addresses challenges in understanding cell fate changes and evaluating reprogramming models.

Keywords:
GenomicsMolecular BiologySequencing

More Related Videos

Author Spotlight: Nuclei Isolation from Mouse Cardiac Progenitor Cells for Epigenome and Gene Expression Profiling at Single-Cell Resolution
10:03

Author Spotlight: Nuclei Isolation from Mouse Cardiac Progenitor Cells for Epigenome and Gene Expression Profiling at Single-Cell Resolution

Published on: May 12, 2023

3.0K
Low-input Nucleus Isolation and Multiplexing with Barcoded Antibodies of Mouse Sympathetic Ganglia for Single-nucleus RNA Sequencing
10:44

Low-input Nucleus Isolation and Multiplexing with Barcoded Antibodies of Mouse Sympathetic Ganglia for Single-nucleus RNA Sequencing

Published on: March 23, 2022

4.1K

Related Experiment Videos

Last Updated: Jun 23, 2025

Isolation of Nuclei from Flash-Frozen Liver Tissue for Single-Cell Multiomics
09:09

Isolation of Nuclei from Flash-Frozen Liver Tissue for Single-Cell Multiomics

Published on: December 9, 2022

5.7K
Author Spotlight: Nuclei Isolation from Mouse Cardiac Progenitor Cells for Epigenome and Gene Expression Profiling at Single-Cell Resolution
10:03

Author Spotlight: Nuclei Isolation from Mouse Cardiac Progenitor Cells for Epigenome and Gene Expression Profiling at Single-Cell Resolution

Published on: May 12, 2023

3.0K
Low-input Nucleus Isolation and Multiplexing with Barcoded Antibodies of Mouse Sympathetic Ganglia for Single-nucleus RNA Sequencing
10:44

Low-input Nucleus Isolation and Multiplexing with Barcoded Antibodies of Mouse Sympathetic Ganglia for Single-nucleus RNA Sequencing

Published on: March 23, 2022

4.1K

Area of Science:

  • Cell Biology
  • Genetics
  • Bioinformatics

Background:

  • Ectopic expression of lineage-specific transcription factors (TFs) can reprogram cell fates.
  • Cellular heterogeneity in reprogramming poses challenges for data analysis and model validation.

Purpose of the Study:

  • To present a protocol for characterizing cells undergoing direct cell reprogramming.
  • To enable precise tracking of cells expressing defined factors during reprogramming using a novel approach.

Main Methods:

  • Development of a factor-indexing approach (FI-snMultiome-seq) for single-nucleus multiome sequencing.
  • Protocol involves barcoding transcription factors (TFs).
  • Application of the method to convert human fibroblasts to pancreatic ductal-like cells using defined TFs.

Main Results:

  • Demonstration of a method to characterize cells expressing specific reprogramming factors.
  • Successful conversion of human fibroblasts to pancreatic ductal-like cells.
  • Enables detailed analysis of cell fate transitions during reprogramming.

Conclusions:

  • The FI-snMultiome-seq protocol provides a robust method to overcome heterogeneity challenges in cell reprogramming studies.
  • This technique facilitates accurate data interpretation and model evaluation for cell fate conversion.