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

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...

You might also read

Related Articles

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

Sort by
Same author

Spatial transcriptomic analyses highlight distinct erythroid niches in mice and humans.

Nature genetics·2026
Same author

Dietary fiber selectively regulates intestinal persistence of probiotic bifidobacteria.

bioRxiv : the preprint server for biology·2026
Same author

Intracerebroventricular infusion of exercise donor plasma exosomes induces molecular changes indicating exercise-like adaptations in basal ganglia cells of older male rats.

Frontiers in aging neuroscience·2026
Same author

Zika virus infections of human stem cell-derived cerebral organoids reveal viral lineage-specific pathogenesis responses.

mBio·2026
Same author

Inhibition of IGF1R in Early MMTV-Wnt1 Mammary Tumors: A Transcriptomic Analysis.

Cancers·2026
Same author

RAD: A Read-structure Agnostic Demultiplexer for Single-Cell Long-Read Sequencing and Analysis.

bioRxiv : the preprint server for biology·2026

Related Experiment Video

Updated: Jun 13, 2026

A Simple, Quick, and Partially Automated Protocol for the Isolation of Single Nuclei from Frozen Mammalian Tissues for Single Nucleus Sequencing
07:12

A Simple, Quick, and Partially Automated Protocol for the Isolation of Single Nuclei from Frozen Mammalian Tissues for Single Nucleus Sequencing

Published on: July 28, 2023

Multisite Assessment of Methods for Cell Preservation Upstream of Single-Cell RNA Sequencing.

Fred W Kolling Iv1, Jessica W Podnar2, Owen Wilkins1

  • 1Dartmouth Cancer Center Dartmouth College.

Journal of Biomolecular Techniques : JBT
|June 12, 2026
PubMed
Summary

Preservation methods for single-cell RNA sequencing (scRNA-seq) allow remote sample collection. A multisite study found that while preservation methods enable broader sample collection, platform-specific variations impact reproducibility and gene expression.

Keywords:
10x GenomicsCell PreservationDNA Sequencing Research GroupHoneycomb BioIlluminaParse Biosciencesingle cell genomics

More Related Videos

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
10:12

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

Nuclear Isolation from Cryopreserved In Vitro Derived Blood Cells
04:11

Nuclear Isolation from Cryopreserved In Vitro Derived Blood Cells

Published on: March 15, 2024

Related Experiment Videos

Last Updated: Jun 13, 2026

A Simple, Quick, and Partially Automated Protocol for the Isolation of Single Nuclei from Frozen Mammalian Tissues for Single Nucleus Sequencing
07:12

A Simple, Quick, and Partially Automated Protocol for the Isolation of Single Nuclei from Frozen Mammalian Tissues for Single Nucleus Sequencing

Published on: July 28, 2023

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
10:12

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

Nuclear Isolation from Cryopreserved In Vitro Derived Blood Cells
04:11

Nuclear Isolation from Cryopreserved In Vitro Derived Blood Cells

Published on: March 15, 2024

Area of Science:

  • Genomics and Bioinformatics
  • Molecular Biology
  • Biotechnology

Background:

  • Single-cell RNA sequencing (scRNA-seq) typically requires immediate processing of fresh samples, limiting its application for remote sample collection or long preparation times.
  • Commercial preservation assays (fixation or cryopreservation) now permit delayed processing of scRNA-seq samples, expanding collection possibilities.

Purpose of the Study:

  • To assess the performance and reproducibility of three commercial preservation platforms for scRNA-seq: 10x Genomics FLEX, Parse Biosciences Evercode WT v2, and Honeycomb Bio HIVE.
  • To provide a resource for selecting appropriate scRNA-seq preservation workflows based on sample type, cell populations, logistics, and infrastructure.

Main Methods:

  • Leukocytes and PBMCs were isolated and characterized by flow cytometry.
  • Samples were preserved using FLEX, Evercode WT v2, or HIVE protocols, or processed fresh as a reference (10x 3' v3.1).
  • Libraries were sequenced, and performance evaluated using scRNA-seq quality control metrics, gene detection, cell-type annotation, differential expression, and correlation analyses across multiple sites and technicians.

Main Results:

  • All platforms integrated effectively, yielding concordant cell-type annotation and abundance consistent with flow cytometry.
  • Platform-specific gene expression signatures were observed, and cross-site reproducibility varied, with FLEX showing higher susceptibility to processing variation.
  • Preservation methods (FLEX and HIVE) better retained fragile granulocytes compared to the fresh sample control (10x 3pGEX).

Conclusions:

  • scRNA-seq preservation methods enhance sample accessibility by decoupling collection from processing.
  • Investigator choice of preservation platform should consider trade-offs in reproducibility, gene expression signatures, and specific cell population retention.
  • This study offers valuable data for optimizing scRNA-seq workflows in diverse research settings.