High fidelity hypothermic preservation of primary tissues in organ transplant preservative for single cell transcriptome analysis
Open accessPublished version of a preprint
Abstract
BACKGROUND: High-fidelity preservation strategies for primary tissues are in great demand in the single cell RNAseq community. A reliable method would greatly expand the scope of feasible multi-site collaborations and maximize the utilization of technical expertise. When choosing a method, standardizability and fidelity are important factors to consider due to the susceptibility of single-cell RNAseq analysis to technical noise. Existing approaches such as cryopreservation and chemical fixation are less than ideal for failing to satisfy either or both of these standards. RESULTS: Here we propose a new strategy that leverages preservation schemes developed for organ transplantation. We evaluated the strategy by storing intact mouse kidneys in organ transplant preservative solution at hypothermic temperature for up to 4 days (6 h, 1, 2, 3, and 4 days), and comparing the quality of preserved and fresh samples using FACS and single cell RNAseq. We demonstrate that the strategy effectively maintained cell viability, transcriptome integrity, cell population heterogeneity, and transcriptome landscape stability for samples after up to 3 days of preservation. The strategy also facilitated the definition of the diverse spectrum of kidney resident immune cells, to our knowledge the first time at single cell resolution. CONCLUSIONS: Hypothermic storage of intact primary tissues in organ transplant preservative maintains the quality and stability of the transcriptome of cells for single cell RNAseq analysis. The strategy is readily generalizable to primary specimens from other tissue types for single cell RNAseq analysis.
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.
Integrity signals
Registry
Cites
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.
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 Wang et al., 2018
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
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482 · see citing works
Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625 · see citing works
REVIGO summarizes and visualizes long lists of gene ontology terms
Supek, F., Bošnjak, M., Škunca, N., & Šmuc, T. (2011) · PLoS ONE · doi:10.1371/journal.pone.0021800 · Cited by 6,264 · see citing works
Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq
Tirosh, I., Izar, B., Prakadan, S. M., Wadsworth, M. H., Treacy, D., Trombetta, J. J., Rotem, A., Rodman, C., Lian, C., Murphy, G., et al. (2016) · Science · doi:10.1126/science.aad0501 · Cited by 4,944 · see citing works
Full-length RNA-seq from single cells using Smart-seq2
Picelli, S., Faridani, O. R., Björklund, Å. K., Winberg, G., Sagasser, S., & Sandberg, R. (2014) · Nature Protocols · doi:10.1038/nprot.2014.006 · Cited by 4,137 · see citing works
Amir, E.-A. D., Davis, K. L., Tadmor, M. D., Simonds, E. F., Levine, J. H., Bendall, S. C., Shenfeld, D. K., Krishnaswamy, S., Nolan, G. P., & Pe'er, D. (2013) · Nature Biotechnology · doi:10.1038/nbt.2594 · Cited by 1,550 · see citing works
A survey of human brain transcriptome diversity at the single cell level
Darmanis, S., Sloan, S. A., Zhang, Y., Enge, M., Caneda, C., Shuer, L. M., Hayden Gephart, M. G., Barres, B. A., & Quake, S. R. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1507125112 · Cited by 1,401 · see citing works
Self-citationPRINCIPLES OF SOLID-ORGAN PRESERVATION BY COLD STORAGE
Belzer, F. O., & Southard, J. H. (1988) · Transplantation · doi:10.1097/00007890-198804000-00001 · Cited by 1,388 · see citing works
Bayesian approach to single-cell differential expression analysis
Kharchenko, P. V., Silberstein, L., & Scadden, D. T. (2014) · Nature Methods · doi:10.1038/nmeth.2967 · Cited by 1,348 · see citing works
Reconstructing lineage hierarchies of the distal lung epithelium using single-cell RNA-seq
Treutlein, B., Brownfield, D. G., Wu, A. R., Neff, N. F., Mantalas, G. L., Espinoza, F. H., Desai, T. J., Krasnow, M. A., & Quake, S. R. (2014) · Nature · doi:10.1038/nature13173 · Cited by 1,342 · see citing works
Self-citationIgBLAST: an immunoglobulin variable domain sequence analysis tool
Ye, J., Ma, N., Madden, T., & Ostell, J. M. (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt382 · Cited by 1,161 · see citing works
Single-Cell RNA-Seq Reveals Lineage and X Chromosome Dynamics in Human Preimplantation Embryos
Petropoulos, S., Edsgärd, D., Reinius, B., Deng, Q., Panula, S. P., Codeluppi, S., Plaza Reyes, A., Linnarsson, S., Sandberg, R., & Lanner, F. (2016) · Cell · doi:10.1016/j.cell.2016.03.023 · Cited by 1,063 · see citing works
Accounting for technical noise in single-cell RNA-seq experiments
Brennecke, P., Anders, S., Kim, J. K., Kołodziejczyk, A. A., Zhang, X., Proserpio, V., Baying, B., Benes, V., Teichmann, S. A., Marioni, J. C., et al. (2013) · Nature Methods · doi:10.1038/nmeth.2645 · Cited by 979 · see citing works
Change-O: a toolkit for analyzing large-scale B cell immunoglobulin repertoire sequencing data
Gupta, N. T., Heiden, J. A. V., Uduman, M., Gadala-Maria, D., Yaari, G., & Kleinstein, S. H. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv359 · Cited by 869 · see citing works
Yekutieli, D., & Benjamini, Y. (1999) · Journal of Statistical Planning and Inference · doi:10.1016/s0378-3758(99)00041-5 · Cited by 738 · see citing works
Immune cells in experimental acute kidney injury
Jang, H. R., & Rabb, H. (2014) · Nature Reviews Nephrology · doi:10.1038/nrneph.2014.180 · Cited by 522 · see citing works
Bridger: a new framework for de novo transcriptome assembly using RNA-seq data
Chang, Z., Li, G., Liu, J., Zhang, Y., Ashby, C., Liu, D., Cramer, C. L., & Huang, X. (2015) · Genome biology · doi:10.1186/s13059-015-0596-2 · Cited by 283 · see citing works
Fixed single-cell transcriptomic characterization of human radial glial diversity
Thomsen, E. R., Mich, J. K., Yao, Z., Hodge, R. D., Doyle, A. M., Jang, S., Shehata, S. I., Nelson, A. M., Shapovalova, N. V., Levi, B. P., et al. (2015) · Nature Methods · doi:10.1038/nmeth.3629 · Cited by 227 · see citing works
Cell fixation and preservation for droplet-based single-cell transcriptomics
Alles, J., Karaiskos, N., Praktiknjo, S. D., Grosswendt, S., Wahle, P., Ruffault, P.-L., Ayoub, S., Schreyer, L., Boltengagen, A., Birchmeier, C., et al. (2017) · BMC Biology · doi:10.1186/s12915-017-0383-5 · Cited by 218 · cited 1× · see citing works
“For efficient isolation of single cells, fixation-based approaches are preferentially done on single-cell suspensions [7, 8], making it a necessity to perform tissue dissociation, usually a critical step for scRNAseq, at tissue collection sites.”
Dendritic cells and macrophages in the kidney: a spectrum of good and evil
Rogers, N. M., Ferenbach, D. A., Isenberg, J. S., Thomson, A. W., & Hughes, J. (2014) · Nature Reviews Nephrology · doi:10.1038/nrneph.2014.170 · Cited by 199 · see citing works
Thomas, M., Liu, X., Whangbo, J., McCrossan, G., Sanborn, K. B., Basar, E., Walch, M., & Lieberman, J. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.04.026 · Cited by 161 · see citing works
Single-cell transcriptome conservation in cryopreserved cells and tissues
Guillaumet-Adkins, A., Rodríguez-Esteban, G., Mereu, E., Méndez-Lago, M., Jaitin, D. A., Villanueva, A., Vidal, A., Martínez‐Martí, A., Felip, E., Vivancos, A. P., et al. (2017) · Genome biology · doi:10.1186/s13059-017-1171-9 · Cited by 158 · see citing works
Kawakami, T., Lichtnekert, J., Thompson, L. J., Karna, P., Bouabe, H., Hohl, T. M., Heinecke, J. W., Ziegler, S. F., Nelson, P. J., & Duffield, J. S. (2013) · The Journal of Immunology · doi:10.4049/jimmunol.1300342 · Cited by 128 · see citing works
Principles of Low Temperature Cell Preservation
Rubinsky, B. (2003) · Heart Failure Reviews · doi:10.1023/a:1024734003814 · Cited by 128 · see citing works
Ginis, I., Grinblat, B., & Shirvan, M. (2011) · Tissue Engineering Part C Methods · doi:10.1089/ten.tec.2011.0395 · Cited by 116 · see citing works
Single-cell transcriptome analysis of endometrial tissue
Krjutškov, K., Katayama, S., Saare, M., Vera-Rodríguez, M., Lubenets, D., Samuel, K., Laisk, T., Teder, H., Einarsdóttir, E., Salumets, A., et al. (2016) · Human Reproduction · doi:10.1093/humrep/dew008 · Cited by 103 · see citing works
Mathew, A. J., Baust, J. M., Buskirk, R. G. V., & Baust, J. G. (2004) · Tissue Engineering · doi:10.1089/ten.2004.10.1662 · Cited by 64 · see citing works
Randelli, P. S., Conforti, E., Piccoli, M., Ragone, V., Creo, P., Cirillo, F., Masuzzo, P., Tringali, C., Cabitza, P., Tettamanti, G., et al. (2013) · The American Journal of Sports Medicine · doi:10.1177/0363546512473572 · Cited by 63 · see citing works
Ostrowska, A., Gu, K., Bode, D. C., & Buskirk, R. G. V. (2009) · Archives of Toxicology · doi:10.1007/s00204-009-0419-x · Cited by 46 · see citing works
GO2MSIG, an automated GO based multi-species gene set generator for gene set enrichment analysis
Powell, J. (2014) · BMC Bioinformatics · doi:10.1186/1471-2105-15-146 · Cited by 44 · see citing works
Robinson, N. J., Picken, A., & Coopman, K. (2013) · Biotechnology Letters · doi:10.1007/s10529-013-1349-5 · Cited by 38 · see citing works
Cell fixation and preservation for droplet-based single-cell transcriptomicsPreprint
Alles, J., Karaiskos, N., Praktiknjo, S. D., Grosswendt, S., Wahle, P., Ruffault, P.-L., Ayoub, S., Schreyer, L., Boltengagen, A., Birchmeier, C., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/099473 · Cited by 30 · see citing works
Yang, Y., Steeg, J., & Honaramooz, A. (2010) · Cell and Tissue Research · doi:10.1007/s00441-010-0946-z · Cited by 30 · see citing works
(2016) · Cell · doi:10.1016/j.cell.2016.03.013 · Cited by 21 · see citing works
A review of cellular biopreservation considerations during hair transplantation
Mathew, A. J. (2013) · International Society of Hair Restoration Surgery · doi:10.33589/23.1.0001 · Cited by 20 · see citing works
Taylor, M. J., Bailes, J. E., Elrifai, A. M., Shih, T., Teeple, E., Leavitt, M. L., Baust, J. G., & Maroon, J. C. (1994) · ASAIO Journal · doi:10.1097/00002480-199407000-00022 · Cited by 20 · see citing works
Cold-Storage of Synthetic Human Epidermis in HypoThermosol
Cook, J. R., Eichelberger, H., Robert, S., Rauch, J., Baust, J. G., Taylor, M. J., & Buskirk, R. G. V. (1995) · Tissue Engineering · doi:10.1089/ten.1995.1.361 · Cited by 19 · see citing works
Dahdah, N., Taylor, M. J., Russo, P. A., & Wagerle, L. C. (1999) · Cryobiology · doi:10.1006/cryo.1999.2185 · Cited by 13 · see citing works
Ikonomović, M. D., Kelly, K. M., Tm, H., Shih, ARMSTRONG, D. M. G., & Mj, T. (2001) · PubMed · Cited by 13 · see citing works
&NA; (1988) · Transplantation · doi:10.1097/00007890-198803000-00041 · Cited by 13 · see citing works
Day, A., Bhangra, K. S., Murray‐Dunning, C., Thanabalasundaram, L., Grace, N. F., Cameron, C. M., Stevanato, L., Sinden, J. D., & Phillips, J. B. (2015) · UCL Discovery (University College London) · Cited by 1 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Enabling Technologies for Personalized and Precision Medicine
Ho, D., Quake, S. R., McCabe, E. R. B., Chng, W. J., Chow, E. K., Ding, X., Gelb, B. D., Ginsburg, G. S., Hassenstab, J., Ho, C.-M., et al. (2020) · Trends in Biotechnology · doi:10.1016/j.tibtech.2019.12.021 · Cited by 517 · see citing works
Self-citationMadissoon, E., Wilbrey-Clark, A., Miragaia, R. J., Saeb‐Parsy, K., Mahbubani, K. T. A., Georgakopoulos, N., Harding, P., Polański, K., Huang, N., Nowicki-Osuch, K., et al. (2019) · Genome biology · doi:10.1186/s13059-019-1906-x · Cited by 492 · see citing works
Tutorial: guidelines for the experimental design of single-cell RNA sequencing studies
Lafzi, A., Moutinho, C., Picelli, S., & Heyn, H. (2018) · Nature Protocols · doi:10.1038/s41596-018-0073-y · Cited by 218 · see citing works
Advanced technologies for the preservation of mammalian biospecimens
Huang, H., He, X., & Yarmush, M. L. (2021) · Nature Biomedical Engineering · doi:10.1038/s41551-021-00784-z · Cited by 75 · see citing works
Transitioning single-cell genomics into the clinic
Lim, J. W. Y., Chin, V. T., Fairfax, K. A., Moutinho, C., Suan, D., Ji, H. P., & Powell, J. E. (2023) · Nature Reviews Genetics · doi:10.1038/s41576-023-00613-w · Cited by 72 · see citing works
Physical events occurring during the cryopreservation of immortalized human T cells
Meneghel, J., Kilbride, P., Morris, J. G., & Fonseca, F. (2019) · PLoS ONE · doi:10.1371/journal.pone.0217304 · Cited by 46 · see citing works
Deleersnijder, D., Callemeyn, J., Arijs, I., Naesens, M., Craenenbroeck, A. H. V., Lambrechts, D., & Sprangers, B. (2021) · Journal of the American Society of Nephrology · doi:10.1681/asn.2021020157 · Cited by 46 · see citing works
The Human Cell Atlas: Technical approaches and challenges
Hon, C.-C., Shin, J. W., Carninci, P., & Stubbington, M. J. T. (2017) · Briefings in Functional Genomics · doi:10.1093/bfgp/elx029 · Cited by 40 · see citing works
Methods for Single-Cell Isolation and Preparation
Pensold, D., & Zimmer‐Bensch, G. (2020) · Advances in experimental medicine and biology · doi:10.1007/978-981-15-4494-1_2 · Cited by 42 · see citing works
Advances in single-cell sequencing: insights from organ transplantation
Wang, Y., Wang, J., Schnieke, A., & Fischer, K. (2021) · Military Medical Research · doi:10.1186/s40779-021-00336-1 · Cited by 31 · see citing works
Single-cell transcriptomics reveals expression profiles of Trypanosoma brucei sexual stages
Howick, V. M., Peacock, L., Kay, C., Collett, C. F., Gibson, W. C., & Lawniczak, M. (2022) · PLoS Pathogens · doi:10.1371/journal.ppat.1010346 · Cited by 27 · see citing works
Deep-supercooling for extended preservation of adipose-derived stem cells
Huang, H., Rey-Bedón, C., Yarmush, M. L., & Usta, O. B. (2019) · Cryobiology · doi:10.1016/j.cryobiol.2019.11.004 · Cited by 26 · see citing works
Practical Considerations for Single‐Cell Genomics
Regan, C., & Preall, J. B. (2022) · Current Protocols · doi:10.1002/cpz1.498 · Cited by 25 · see citing works
So, J., Strobel, O., Wann, J., Kim, K., Paul, A., Acri, D. J., Dabin, L. C., Kim, J., Peng, G., & Roh, H. C. (2025) · eLife · doi:10.7554/elife.97981 · Cited by 18 · see citing works
Lung, spleen and oesophagus tissue remains stable for scRNAseq in cold preservationPreprint
Madissoon, E., Wilbrey-Clark, A., Miragaia, R. J., Saeb‐Parsy, K., Mahbubani, K. T. A., Georgakopoulos, N., Harding, P., Polański, K., Nowicki-Osuch, K., Fitzgerald, R. C., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/741405 · Cited by 8 · see citing works
Sample Collection Methods in Upper Gastrointestinal Research
Yang, H., Seo, S. I., Lee, J., Huh, C. W., Kim, J. S., Park, J. C., Kim, H., Shin, H., Shin, C. M., Park, C. H., et al. (2023) · Journal of Korean Medical Science · doi:10.3346/jkms.2023.38.e255 · Cited by 6 · see citing works
Supercooled preservation of cultured primary rat hepatocyte monolayers
Gökaltun, A., Asik, E., Bryne, D., Yarmush, M. L., & Usta, O. B. (2024) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2024.1429412 · Cited by 3 · see citing works
So, J., Strobel, O., Wann, J., Kim, K., Paul, A., Acri, D. J., Dabin, L. C., Kim, J., & Roh, H. C. (2024) · eLife · doi:10.7554/elife.97981.1 · Cited by 2 · see citing works
Multi-omics Approach in Kidney Transplant: Lessons Learned from COVID-19 Pandemic
Mizuno, H., & Murakami, N. (2023) · Current Transplantation Reports · doi:10.1007/s40472-023-00410-8 · Cited by 1 · see citing works
ctQC improves biological inferences from single cell and spatial transcriptomics dataPreprint
Lakshmanan, V., Kahraman, M., Macalinao, D. C., Gunn, N. A. L., Venkatesh, P. N., Chang, M., Fu, C. W. P., Qiang, L. W., Tan, I. B., & Prabhakar, S. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.05.23.594978 · Cited by 1 · see citing works
Single Cell RNA-Sequencing and Its Application in Livestock Animals
Verma, R., Sahu, P., Rana, A., Swargam, S., & Kumari, I. (2023) · BENTHAM SCIENCE PUBLISHERS eBooks · doi:10.2174/9789815165616123010015
So, J., Strobel, O., Wann, J., Kim, K., Paul, A., Acri, D. J., Dabin, L. C., Peng, G., Kim, J., & Roh, H. C. (2024) · eLife · doi:10.7554/elife.97981.2
- Authors
- Wang, W., Penland, L., Gokce, O., Croote, D., & Quake, S. R.
- Affiliations
- Stanford University (US)
- Corresponding author
- Quake, Stephen R.
- Venue
- BMC Genomics
- Published
- 2018-02-13
- Volume
- 19
- Issue
- 1
- Pages
- 140-140
- ISSN
- 1471-2164 (ISSN-L)
- PMC
- PMC5811979
- OpenAlex
- W2953150185
- Cited by
- 23
- References
- 41
- Citations by year
- 2025: 1 · 2024: 5 · 2023: 4 · 2022: 2 · 2021: 3 · 2020: 2 · 2019: 4 · 2018: 1 · 2017: 1
- FWCI
- 0.89
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- BMC Genomics (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Open access LMU (Ludwid Maxmilian's Universitat Munchen) (submittedVersion, cc-by)
- Funders
- National Institutes of Health (5UH2AR06767603)
- 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
- single-cell RNA sequencing, cell viability, tissue banking, mouse kidney
- MeSH terms
- Animals, Cell Survival, Kidney, Reproducibility of Results, Cryopreservation, Kidney Transplantation, Sequence Analysis, RNA, Gene Expression Profiling, Mice, Single-Cell Analysis, Transcriptome, Gene Ontology
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