Evidence map›Paper›PMID 41279168›Full record

ArticlebioRxiv : the preprint server for biology2025

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

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

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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 KollingDartmouth Cancer Center, Geisel School of Medicine, Dartmouth Health, 1 Medical Center Drive, Lebanon, NH 03756, United States.ORCID 0000-0002-6178-9901
Jessica W PodnarGenomic Sequencing and Analysis Facility, University of Texas, Austin, TX 78712.
Owen WilkinsDartmouth Cancer Center, Geisel School of Medicine, Dartmouth Health, 1 Medical Center Drive, Lebanon, NH 03756, United States.
Claire J FraserFlow Cytometry and Genomics Core Facility, Barrow Neurological Institute, 350 W Thomas Avenue, Phoenix, AZ 85013.
Madolyn L MacDonaldBioinformatics Data Science Core, Center for Bioinformatics and Computational Biology, Department of Computer and Information Sciences, University of Delaware, 590 Avenue 1743, Newark, DE 19713.
Shawn W PolsonBioinformatics Data Science Core, Center for Bioinformatics and Computational Biology, Department of Computer and Information Sciences, University of Delaware, 590 Avenue 1743, Newark, DE 19713.
Zachary T HerbertMolecular Biology Core Facilities at Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Sridar V ChitturCenter for Functional Genomics and Department of Biomedical Sciences, University at Albany, Albany, NY 12222.
Andrew HaydenCenter for Functional Genomics and Department of Biomedical Sciences, University at Albany, Albany, NY 12222.
Marcy KuentzelCenter for Functional Genomics and Department of Biomedical Sciences, University at Albany, Albany, NY 12222.
Michael HeinzMcDonnell Genome Institute, Washington University School of Medicine, 660 South Euclid, St. Louis, MO 63110.
Gabriella M HuertaGenomic Sequencing and Analysis Facility, University of Texas, Austin, TX 78712.
Holly S StevensonGenomic Sequencing and Analysis Facility, University of Texas, Austin, TX 78712.
Aditi KarmakarGenomic Sequencing and Analysis Facility, University of Texas, Austin, TX 78712.
Catrina FronickMcDonnell Genome Institute, Washington University School of Medicine, 660 South Euclid, St. Louis, MO 63110.
Lisa CookMcDonnell Genome Institute, Washington University School of Medicine, 660 South Euclid, St. Louis, MO 63110.
Sean VargasGenomics Core, University of Texas at San Antonio, San Antonio, TX 78249, USA.
Xiaoling XueiCenter for Medical Genomics, Indiana University School of Medicine, Indianapolis, IN 46202.
Patrick McGuireCenter for Medical Genomics, Indiana University School of Medicine, Indianapolis, IN 46202.
Molly ZellerUniversity of Wisconsin Madison Biotechnology Center, Madison WI 53706.
Yanping ZhangICBR Gene Expression & Genotyping, University of Florida, Gainesville Fl 32610.
Ru DaiICBR Gene Expression & Genotyping, University of Florida, Gainesville Fl 32610.
Xinkun WangNUSeq Core, Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611.
Ching Man WaiNUSeq Core, Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611.
Jyothi ThimmapuramBioinformatics Core, Purdue University, West Lafayette, IN 47907.
Devender AroraBioinformatics Core, Purdue University, West Lafayette, IN 47907.
Tania MesaMolecular Genomics Core, Moffitt Cancer Center, Tampa FL, 33612.
Jun FanMolecular Genomics Core, Texas A&M Institute for Genomics Sciences and Society. College Station, TX 77843.
Yuriy O AlekseyevSingle Cell Sequencing Core and Microarray and Sequencing Resource Core, Boston University, Boston MA 02118.
Francis CervoneSingle Cell Sequencing Core and Microarray and Sequencing Resource Core, Boston University, Boston MA 02118.
Christopher WilliamsSingle Cell Sequencing Core and Microarray and Sequencing Resource Core, Boston University, Boston MA 02118.
Nickolas GorhamSingle Cell Sequencing Core and Microarray and Sequencing Resource Core, Boston University, Boston MA 02118.
Alexander LemenzeMolecular and Genomics Informatics Core, Rutgers NJMS, 185 South Orange Ave, Newark NJ 07103.
Sara GoodwinCold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724.
Jonathan PreallCold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724.
Charles A WhittakerBarbara K. Ostrom (1978) Bioinformatics and Computing Core Facility, Swanson Biotechnology Center, Koch Institute at the Massachusetts Institute of Technology, 77 Massachusetts Ave. 76-189B, Cambridge MA 02139.

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI TIMOTHY J. EBERLEIN · 2001 to 2026
$128.0M
VIRUS PRODUCTION COREP30CA014051 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Jacqueline A. Lees · 1985 to 2026
$93.9M
Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Fred W Kolling IV · 1985 to 2026
$91.3M
Predictive Modeling & Optimal Control Framework for Model-Based Epidemic Response in DelawareP20GM103446 · NIGMS · UNIVERSITY OF DELAWARE · PI Shawn W Polson · 2012 to 2026
$67.2M
Subproject Title: Clinical Research Education, Mentoring and Career Development CoreU54GM104941 · NIGMS · UNIVERSITY OF DELAWARE · PI Megan M Wenner · 2013 to 2026
$60.5M
Zhao - Proj 2P20GM130454 · NIGMS · DARTMOUTH COLLEGE · PI MICHAEL L WHITFIELD · 2019 to 2026
$27.2M
NCI NIH HHS P30 CA014051NCI NIH HHS P30 CA023108NCI NIH HHS P30 CA091842NIGMS NIH HHS P20 GM103446NIGMS NIH HHS P20 GM130454NIGMS NIH HHS U54 GM104941
6 · The paper itself

Abstract

Single cell RNA sequencing (scRNA-seq) is a revolutionary technique to identify cell types and their molecular phenotype in heterogeneous biological specimens. ScRNA-seq typically requires fresh, high quality single cell suspensions that are processed immediately to preserve their molecular profiles. This presents a challenge for samples with long preparation times and prevents collection at remote sites lacking the required instrumentation for sample processing. Recently, several commercial assays have been released that enable sample preservation at the time of collection either via fixation or cryopreservation, allowing for sample processing to occur months after the initial collection. The Association of Biomolecular Research Facilities' (ABRF) DNA Sequencing (DSRG) and Genomics Bioinformatics (GBiRG) Research Groups have undertaken a cross-platform, multi-site study to assess the performance and reproducibility of three platforms: a) 10x Genomics FLEX, b) Parse Bioscience Evercode WT v2 and c) Honeycomb Bio HIVE. Total leukocytes were isolated from a single healthy individual using the EasySep RBC depletion reagent. Cells were then characterized by collecting a 21-color flow cytometry dataset for reference and the remaining material was used for scRNA-seq procedures where different sites then processed either the fixed or cryopreserved cells for each method. We evaluated performance of each method across traditional scRNA-seq quality control metrics and analysis applications, including gene/transcript detection sensitivity, cell type discovery and annotation, and differential expression. We demonstrate that data from the methods tested can be effectively integrated and produce concordant results with regard to cell type annotation and relative abundance, though we observe platform-specific differences in the expression of a subset of genes. Preservation-based methods also show better retention of fragile granulocyte populations compared with fresh samples processed using the 10× 3' workflow. The improvements to preservation methods are changing the way research is conducted and our thorough investigation into the performance of each method provides a valuable resource to help scientists determine the most appropriate single cell preservation workflow given their sample collection logistics and laboratory infrastructure constraints.

Identifiers

PMID41279168
PMCPMC12633272

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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.