Cited by 80Single-cell and spatial transcriptomicsMolecular Biology Techniques and ApplicationsGenomics and Phylogenetic Studies

A practical solution for preserving single cells for RNA sequencing

Open access
Attar, Moustafa, Sharma, Eshita, Li, Shuqiang, Bryer, Claire, Cubitt, Laura, Broxholme, John, Lockstone, Helen, Kinchen, James +5 more·2018·Scientific Reports

Published version of a preprint

Abstract

The design and implementation of single-cell experiments is often limited by their requirement for fresh starting material. We have adapted a method for histological tissue fixation using dithio-bis(succinimidyl propionate) (DSP), or Lomant’s Reagent, to stabilise cell samples for single-cell transcriptomic applications. DSP is a reversible cross-linker of free amine groups that has previously been shown to preserve tissue integrity for histology while maintaining RNA integrity and yield in bulk RNA extractions. Although RNA-seq data from DSP-fixed single cells appears to be prone to characteristic artefacts, such as slightly reduced yield of cDNA and a detectable 3′ bias in comparison with fresh cells, cell preservation using DSP does not appear to substantially reduce RNA complexity at the gene level. In addition, there is evidence that instantaneous fixation of cells can reduce inter-cell technical variability. The ability of DSP-fixed cells to retain commonly used dyes, such as propidium iodide, enables the tracking of experimental sub-populations and the recording of cell viability at the point of fixation. Preserving cells using DSP will remove several barriers in the staging of single-cell experiments, including the transport of samples and the scheduling of shared equipment for downstream single-cell isolation and processing.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41598-018-20372-7

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • scRNA-seq methods require fresh tissues, which can be difficult to obtain and lead to logistic complexities.

    “First, these methods require the use of fresh tissues, which can be difficult to obtain and thus lead to logistic complexities (Alles et al., 2017; Attar et al., 2018; Wang et al., 2018; Lafzi et al., 2018).”

    From Robust single-nucleus RNA sequencing reveals depot-specific cell population dynamics in adipose tissue remodeling during obesity (2025) · cites this paper as Attar et al., 2018

    The Introduction (page unavailable) describes logistical barriers to processing cells when they become available, including distance, equipment scheduling, and difficulty storing intact cells. This supports the logistical point, but the paper discusses fresh cells or starting material rather than establishing that scRNA-seq methods require fresh tissues; it also describes preservation methods that can ease that constraint. (LLM, conf=0.85)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 14

  1. [2]Beliakova-Bethell N The effect of cell subset isolation method on gene expression in leukocytes Cytometry A 2014 85 94 104 10.1002/cyto.a.22352 24115734 PMC3975050 · DOI
  2. [3]Thomsen ER Fixed single-cell transcriptomic characterization of human radial glial diversity Nat Methods 2016 13 87 93 10.1038/nmeth.3629 26524239 PMC4869711 · DOI
  3. [4]Guillaumet-Adkins A Single-cell transcriptome conservation in cryopreserved cells and tissues Genome Biol 2017 18 45 10.1186/s13059-017-1171-9 28249587 PMC5333448 · DOI
  4. [6]Xiang CC Using DSP, a reversible cross-linker, to fix tissue sections for immunostaining, microdissection and expression profiling Nucleic Acids Res 2004 32 e185 10.1093/nar/gnh185 15604454 PMC545482 · DOI
  5. [7]Lamble S Improved workflows for high throughput library preparation using the transposome-based Nextera system BMC Biotechnol 2013 13 104 10.1186/1472-6750-13-104 24256843 PMC4222894 · DOI
  6. [8]Jiang H Lei R Ding SW Zhu S Skewer: a fast and accurate adapter trimmer for next-generation sequencing paired-end reads BMC Bioinformatics 2014 15 182 10.1186/1471-2105-15-182 24925680 PMC4074385 · DOI
  7. [9]Kim D Langmead B Salzberg SL HISAT: a fast spliced aligner with low memory requirements Nat Methods 2015 12 357 360 10.1038/nmeth.3317 25751142 PMC4655817 · DOI · Paper page
  8. [10]Li H The Sequence Alignment/Map format and SAMtools Bioinformatics 2009 25 2078 2079 10.1093/bioinformatics/btp352 19505943 PMC2723002 · DOI · Paper page
  9. [11]Flicek P Ensembl 2014 Nucleic Acids Res 2014 42 D749 755 10.1093/nar/gkt1196 24316576 PMC3964975 · DOI
  10. [12]Liao Y Smyth GK Shi W featureCounts: an efficient general purpose program for assigning sequence reads to genomic features Bioinformatics 2014 30 923 930 10.1093/bioinformatics/btt656 24227677 · DOI · Paper page
  11. [13]Liao Y Smyth GK Shi W The Subread aligner: fast, accurate and scalable read mapping by seed-and-vote Nucleic Acids Res 2013 41 e108 10.1093/nar/gkt214 23558742 PMC3664803 · DOI · Paper page
  12. [15]Kiselev VY SC3: consensus clustering of single-cell RNA-seq data Nat Methods 2017 14 483 486 10.1038/nmeth.4236 28346451 PMC5410170 · DOI · Paper page
  13. [16]Mueller C One-step preservation of phosphoproteins and tissue morphology at room temperature for diagnostic and research specimens PLoS One 2011 6 e23780 10.1371/journal.pone.0023780 21858221 PMC3157466 · DOI
  14. [18]Edgar R Domrachev M Lash AE Gene Expression Omnibus: NCBI gene expression and hybridization array data repository Nucleic Acids Res 2002 30 207 210 10.1093/nar/30.1.207 11752295 PMC99122 · DOI · Paper page

Cited by

Sorted by citations

Authors
Attar, M., Sharma, E., Li, S., Bryer, C., Cubitt, L., Broxholme, J., Lockstone, H., Kinchen, J., Simmons, A., Piazza, P., Buck, D., Livak, K. J., & Bowden, R.
Affiliations
  • Centre for Human Genetics (GB)
  • Broad Institute (US)
  • John Radcliffe Hospital (GB)
  • Standard BioTools (United States) (US)
Corresponding author
Bowden, Rory
Venue
Scientific Reports
Published
2018-02-01
Volume
8
Issue
1
Pages
2151-2151
ISSN
2045-2322 (ISSN-L)
OpenAlex
W2951169655
Cited by
80
References
2
Citations by year
2026: 6 · 2025: 8 · 2024: 10 · 2023: 6 · 2022: 10 · 2021: 14 · 2020: 8 · 2019: 12 · 2018: 6
FWCI
3.56
Type
journal article
Language
en
Open access
Locations
  • Scientific Reports (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders
  • Wellcome Trust (102974/Z/13/Z, 090532, 090532/Z/09/Z, 090532/Z/09/)
  • National Institute for Health and Care Research (NIHR-RP-R3-12-026)
  • Medical Research Council (MC_UU_00008/7)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Molecular Biology Techniques and Applications
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
Keywords
reversible crosslinking, cell fixation, single-cell RNA sequencing, RNA integrity, technical variability, cell viability, sample transport, single-cell isolation
MeSH terms
Cell Separation, Cross-Linking Reagents, Humans, Succinimides, Tissue Fixation, Sequence Analysis, RNA, K562 Cells, Single-Cell Analysis, Transcriptome

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review