Evidence map›Paper›PMID 42281660›Full record

ArticleJournal of biomolecular techniques : JBT2026

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

Fred W Kolling Iv, Jessica W Podnar, Owen Wilkins, Claire J Fraser, Madolyn L MacDonald, Shawn W Polson, Zachary T Hebert, Sridar V Chittur, Andrew Hayden, Marcy Kuentzel and 26 more

Abstract read
In one paragraph

Article in Journal of biomolecular techniques : JBT, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

36 authors.

Fred W Kolling IvDartmouth Cancer Center Dartmouth College.ORCID https://orcid.org/0000-0002-6178-9901
Jessica W PodnarGenomic Sequence Analysis Facility University of Texas Austin.
Owen WilkinsDartmouth Cancer Center Dartmouth College.
Claire J FraserFlow Cytometry and Genomics Core Facility Barrow Neurological Institute.
Madolyn L MacDonaldBioinformatics Data Science Core University of Delaware.
Shawn W PolsonBioinformatics Data Science Score University of Delaware.
Zachary T HebertMolecular Biology Core Facilities Dana-Farber Cancer Institute.
Sridar V ChitturCenter for Functional Genomics and Department of Biomedical Sciences University at Albany.
Andrew HaydenCenter for Functional Genomics and Department of Biomedical Sciences University at Albany.
Marcy KuentzelCenter for Functional Genomics and Department of Biomedical Sciences University at Albany.
Michael HeinzMcDonnell Genome Institute Washington University School of Medicine.
Gabriella M HuertaGenomic Sequencing and Analysis Facility University of Texas.
Holly S StevensonGenomic Sequencing and Analysis Facility University of Texas.
Aditi KarmakarGenomic Sequencing and Analysis Facility University of Texas.
Catrina FronickMcDonnell Genome Institute Washington University School of Medicine.
Lisa CookMcDonnell Genome Institute Washington University School of Medicine.
Sean VargasGenomics Core University of Texas at San Antonio.
Xiaoling XueiCenter for Medical Genomics Indiana University School of Medicine.
Patrick McGuireCenter for Medical Genomics Indiana University School of Medicine.
Molly ZellerBiotechnology Center University of Wisconsin Madison.
Yanping ZhangICBR Gene Expression and Genotyping University of Florida.
Ru DaiICBR Gene Expression and Genotyping University of Florida.
Xinkun WangNUSeq Core, Center for Genetic Medicine Northwestern University Feinberg School of Medicine.
Ching Man WaiNUSeq Core, Center for Genetic Medicine Northwestern University Feinberg School of Medicine.
Jyothi ThimmapuramBioinformatics Core Purdue University.
Devender AroraBioinformatics Core Purdue University.
Tania MesaMolecular Genomics Core Moffitt Cancer Center.
Jun FanMolecular Genomics Core Texas A&M Institute for Genomics Sciences and Society.
Yuriy O AlekseyevSingle Cell Sequencing Core and Microarray and Sequencing Resource Core Boston University.
Francis CervoneSingle Cell Sequencing Core and Microarray and Sequencing Resource Core Boston University.
Christopher WilliamsSingle Cell Sequencing Core and Microarray and Sequencing Resource Core Boston University.
Nickolas GorhamSingle Cell Sequencing Core and Microarray and Sequencing Resource Core Boston University.
Alexander LemenzeMolecular and Genomics Informatics Core Rutgers New Jersey Medical School.
Sara GoodwinCold Spring Harbor Laboratory Cold Spring Harbor Laboratory.
Jonathan PreallCold Spring Harbor Laboratory Cold Spring Harbor Laboratory.
Charles A WhittakerBarbara K. Ostrom (1978) Bioinformatics and Computing Core Facility, Koch Institute Massachusetts Institute of Technology.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction/Objective: Single-cell RNA sequencing (scRNA-seq) resolves cell types and molecular phenotypes within heterogeneous specimens but typically requires fresh, high-quality single-cell suspensions processed immediately to preserve transcriptional profiles. This constraint complicates samples with long preparation times and prevents collection at remote sites lacking single-cell instrumentation. Several commercial assays now enable preservation at the point of collection through fixation or cryopreservation, allowing processing to occur months later. The Association of Biomolecular Research Facilities' DNA Sequencing and Genomics and Bioinformatics Research Groups undertook a cross-platform, multisite study to assess the performance and reproducibility of three such platforms: 10x Genomics FLEX, Parse Biosciences Evercode WT v2, and Honeycomb Bio HIVE. Materials and Methods: Total leukocytes and peripheral blood mononuclear cells (PBMCs) were isolated from a single healthy individual, with EasySep reagent used for red blood cell depletion of the leukocyte fraction. Cells were characterized by a 21-color flow cytometry panel to provide a reference, and the remaining material was fixed or cryopreserved according to each platform's protocol. Preserved leukocyte samples were prepared in parallel by two technicians ("A" and "B" replicates) and distributed to multiple ABRF member core facilities for downstream processing, while fresh leukocytes processed with the 10x 3' v3.1 (3pGEX) chemistry served as a reference. Libraries were sequenced at a central site, and performance was evaluated across standard scRNA-seq quality control metrics, gene and transcript detection sensitivity, cell-type discovery and annotation, differential expression, and correlation analyses. Results: Data from all platforms integrated effectively and produced concordant results for cell-type annotation and relative abundance, with cell-type proportions broadly consistent with the flow cytometry reference. However, platform-specific expression signatures were evident for a subset of genes, and cross-site reproducibility varied between methods, with the FLEX workflow showing greater susceptibility to technical variation introduced during on-site sample processing. Preservation-based methods (FLEX and HIVE) showed better retention of fragile granulocyte populations than fresh samples processed with the 10x 3pGEX workflow. Discussion: Improvements to preservation methods are changing how single-cell research is conducted by decoupling sample collection from downstream processing. Our investigation into the performance and reproducibility of each platform provides a resource to help investigators and core facilities select the most appropriate single-cell preservation workflow given their sample type, cell populations of interest, sample collection logistics, and laboratory infrastructure constraints.

Indexed as

Sequence Analysis, RNASingle-Cell Gene Expression AnalysisCryopreservationFlow CytometryHumansLeukocytesLeukocytes, MononuclearReproducibility of Results10x GenomicsCell PreservationDNA Sequencing Research GroupHoneycomb BioIlluminaParse Biosciencesingle cell genomics

Identifiers

PMID42281660
PMCPMC13252917

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.