snPATHO-seq, a versatile FFPE single-nucleus RNA sequencing method to unlock pathology archives.
Journal
Communications biology
ISSN: 2399-3642
Titre abrégé: Commun Biol
Pays: England
ID NLM: 101719179
Informations de publication
Date de publication:
16 Oct 2024
16 Oct 2024
Historique:
received:
31
10
2023
accepted:
10
10
2024
medline:
17
10
2024
pubmed:
17
10
2024
entrez:
16
10
2024
Statut:
epublish
Résumé
Formalin-fixed paraffin-embedded (FFPE) samples are valuable but underutilized in single-cell omics research due to their low RNA quality. In this study, leveraging a recent advance in single-cell genomic technology, we introduce snPATHO-seq, a versatile method to derive high-quality single-nucleus transcriptomic data from FFPE samples. We benchmarked the performance of the snPATHO-seq workflow against existing 10x 3' and Flex assays designed for frozen or fresh samples and highlighted the consistency in snRNA-seq data produced by all workflows. The snPATHO-seq workflow also demonstrated high robustness when tested across a wide range of healthy and diseased FFPE tissue samples. When combined with FFPE spatial transcriptomic technologies such as FFPE Visium, the snPATHO-seq provides a multi-modal sampling approach for FFPE samples, allowing more comprehensive transcriptomic characterization.
Identifiants
pubmed: 39414943
doi: 10.1038/s42003-024-07043-2
pii: 10.1038/s42003-024-07043-2
doi:
Substances chimiques
Formaldehyde
1HG84L3525
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1340Subventions
Organisme : Department of Health | National Health and Medical Research Council (NHMRC)
ID : APP2004774
Informations de copyright
© 2024. The Author(s).
Références
Yuan, Y. et al. Pathology laboratory policies and procedures for releasing diagnostic tissue for cancer research. Arch. Pathol. Lab. Med. 145, 222–226 (2021).
doi: 10.5858/arpa.2019-0474-OA
pubmed: 33501497
pmcid: 8135254
Greytak, S. R., Engel, K. B., Bass, B. P. & Moore, H. M. Accuracy of molecular data generated with FFPE biospecimens: lessons from the literature. Cancer Res. 75, 1541–1547 (2015).
doi: 10.1158/0008-5472.CAN-14-2378
pubmed: 25836717
pmcid: 4636024
Friedrich, C. et al. Comprehensive micro-scaled proteome and phosphoproteome characterization of archived retrospective cancer repositories. Nat. Commun. 12, 3576 (2021).
doi: 10.1038/s41467-021-23855-w
pubmed: 34117251
pmcid: 8196151
Munchel, S. et al. Targeted or whole genome sequencing of formalin fixed tissue samples: potential applications in cancer genomics. Oncotarget 6, 25943–25961 (2015).
doi: 10.18632/oncotarget.4671
pubmed: 26305677
pmcid: 4694877
Turnbull, A. K. et al. Unlocking the transcriptomic potential of formalin-fixed paraffin embedded clinical tissues: comparison of gene expression profiling approaches. BMC Bioinforma. 21, 30 (2020).
doi: 10.1186/s12859-020-3365-5
Martelotto, L. G. et al. Whole-genome single-cell copy number profiling from formalin-fixed paraffin-embedded samples. Nat. Med. 23, 376–385 (2017).
doi: 10.1038/nm.4279
pubmed: 28165479
pmcid: 5608257
Picelli, S. et al. Full-length RNA-seq from single cells using Smart-seq2. Nat. Protoc. 9, 171–181 (2014).
doi: 10.1038/nprot.2014.006
pubmed: 24385147
10x Genomics. Chromium GEM-X Single Cell 3’ Reagent Kits v4. Document Number CG000731 Rev A (2024).
10x Genomics. Visium CytAssist Spatial Gene Expression Reagent Kits. Document Number CG000495 Rev F (2024).
10x Genomics. Xenium In Situ Gene Expression. Document Number CG000582 Rev F (2024).
Xia, C., Babcock, H. P., Moffitt, J. R. & Zhuang, X. Multiplexed detection of RNA using MERFISH and branched DNA amplification. Sci. Rep. 9, 7721 (2019).
doi: 10.1038/s41598-019-43943-8
pubmed: 31118500
pmcid: 6531529
10x Genomics. Chromium Fixed RNA Profiling Reagent Kits. Document Number CG000477 Rev C (2022).
Janesick, A. et al. High resolution mapping of the tumor microenvironment using integrated single-cell, spatial and in situ analysis. Nat. Commun. 14, 8353 (2023).
doi: 10.1038/s41467-023-43458-x
pubmed: 38114474
pmcid: 10730913
10X Genomics. Demonstrated Protocol: Sample Preparation from FFPE Tissue Sections for Chromium Fixed RNA Profiling. https://cdn.10xgenomics.com/image/upload/v1715706299/support-documents/CG000632__DemonstratedProtocol_SamplePrep_from__FFPETissueSections_RevC.pdf (2024).
10x Genomics. Fixed RNA Profiling Probe Sets Overview - Official 10x Genomics Support. https://www.10xgenomics.com/support/single-cell-gene-expression-flex/documentation/steps/probe-sets/chromium-frp-probe-sets-overview (2024).
Hao, Y. et al. Integrated analysis of multimodal single-cell data. Cell 184, 3573–3587.e29 (2021).
doi: 10.1016/j.cell.2021.04.048
pubmed: 34062119
pmcid: 8238499
Wigerblad, G. et al. Single-cell analysis reveals the range of transcriptional states of circulating human neutrophils. J. Immunol. 209, 772–782 (2022).
doi: 10.4049/jimmunol.2200154
pubmed: 35858733
pmcid: 9712146
Grieshaber-Bouyer, R. et al. The neutrotime transcriptional signature defines a single continuum of neutrophils across biological compartments. Nat. Commun. 12, 2856 (2021).
doi: 10.1038/s41467-021-22973-9
pubmed: 34001893
pmcid: 8129206
Cook, D. P. et al. A comparative analysis of imaging-based spatial transcriptomics platforms. Preprint at bioRxiv https://doi.org/10.1101/2023.12.13.571385 (2023).
Trinks, A. et al. Robust detection of clinically relevant features in single-cell RNA profiles of patient-matched fresh and formalin-fixed paraffin-embedded (FFPE) lung cancer tissue. Cell. Oncol. https://doi.org/10.1007/s13402-024-00922-0 (2024).
Wang, T., Roach, M., Plummer, J. & Martelotto, L. G. SnPATHO-seq. Protocols.io. https://www.protocols.io/view/snpatho-seq-8epv5x58dg1b/v1 (2024).
Roach, M. Printable Workflow for snPATHO-seq (2024).
Gavish, A. et al. Hallmarks of transcriptional intratumour heterogeneity across a thousand tumours. Nature 618, 598–606 (2023).
doi: 10.1038/s41586-023-06130-4
pubmed: 37258682
Wiel, C. et al. Endoplasmic reticulum calcium release through ITPR2 channels leads to mitochondrial calcium accumulation and senescence. Nat. Commun. 5, 3792 (2014).
doi: 10.1038/ncomms4792
pubmed: 24797322
Krzysko, J. et al. The adhesion GPCR VLGR1/ADGRV1 regulates the Ca
Park, Y.-J., Yoo, S.-A., Kim, M. & Kim, W.-U. The role of calcium-calcineurin-NFAT signaling pathway in health and autoimmune diseases. Front. Immunol. 11, 195 (2020).
doi: 10.3389/fimmu.2020.00195
pubmed: 32210952
pmcid: 7075805
Bukowska, A., Lendeckel, U., Bode-Böger, S. M. & Goette, A. Physiologic and pathophysiologic role of calpain: implications for the occurrence of atrial fibrillation. Cardiovasc. Ther. 30, e115–e127 (2012).
doi: 10.1111/j.1755-5922.2010.00245.x
pubmed: 21108772
Shinoda, Y. et al. Calcium-dependent activator protein for secretion 2 (CAPS2) promotes BDNF secretion and is critical for the development of GABAergic interneuron network. Proc. Natl Acad. Sci. USA 108, 373–378 (2011).
doi: 10.1073/pnas.1012220108
pubmed: 21173225
Nyante, S. J., Lee, S. S., Benefield, T. S., Hoots, T. N. & Henderson, L. M. The association between mammographic calcifications and breast cancer prognostic factors in a population-based registry cohort. Cancer 123, 219–227 (2017).
doi: 10.1002/cncr.30281
pubmed: 27683209
Chung, H. et al. SnFFPE-Seq: towards scalable single nucleus RNA-Seq of formalin-fixed paraffin-embedded (FFPE) tissue. Preprint at bioRxiv https://doi.org/10.1101/2022.08.25.505257 (2022).
Xu, Z. et al. High-throughput single nucleus total RNA sequencing of formalin-fixed paraffin-embedded tissues by snRandom-seq. Nat. Commun. 14, 2734 (2023).
doi: 10.1038/s41467-023-38409-5
pubmed: 37173341
pmcid: 10182092
Picelli, S. et al. Smart-seq2 for sensitive full-length transcriptome profiling in single cells. Nat. Methods 10, 1096–1098 (2013).
doi: 10.1038/nmeth.2639
pubmed: 24056875
Bagnoli, J. W. et al. Sensitive and powerful single-cell RNA sequencing using mcSCRB-seq. Nat. Commun. 9, 2937 (2018).
doi: 10.1038/s41467-018-05347-6
pubmed: 30050112
pmcid: 6062574
Isakova, A., Neff, N. & Quake, S. R. Single-cell quantification of a broad RNA spectrum reveals unique noncoding patterns associated with cell types and states. Proc. Natl. Acad. Sci. USA. 118, e2113568118 (2021).
Xu, Z. et al. Single nucleus total RNA sequencing of formalin-fixed paraffin-embedded gliomas. Small Methods e2301801 (2024).
M20 Genomics. High-Throughput Single-Cell Transcriptome for FFPE Samples. www.m20genomics.comhttps://www.m20genomics.com/product/single-cell-transcriptome-for-ffpe-samples (2024).
Lake, B. B. et al. A comparative strategy for single-nucleus and single-cell transcriptomes confirms accuracy in predicted cell-type expression from nuclear RNA. Sci. Rep. 7, 6031 (2017).
doi: 10.1038/s41598-017-04426-w
pubmed: 28729663
pmcid: 5519641
Wu, H., Kirita, Y., Donnelly, E. L. & Humphreys, B. D. Advantages of single-nucleus over single-cell RNA sequencing of adult kidney: rare cell types and novel cell states revealed in fibrosis. J. Am. Soc. Nephrol. 30, 23–32 (2019).
doi: 10.1681/ASN.2018090912
pubmed: 30510133
Lacar, B. et al. Nuclear RNA-seq of single neurons reveals molecular signatures of activation. Nat. Commun. 7, 11022 (2016).
doi: 10.1038/ncomms11022
pubmed: 27090946
pmcid: 4838832
Regan, C. & Preall, J. Practical considerations for single-cell genomics. Curr. Protoc. 2, e498 (2022).
doi: 10.1002/cpz1.498
pubmed: 35926125
pmcid: 9479272
Choi, Y. et al. Optimization of RNA extraction from formalin-fixed paraffin-embedded blocks for targeted next-generation sequencing. J. Breast Cancer 20, 393–399 (2017).
doi: 10.4048/jbc.2017.20.4.393
pubmed: 29285045
pmcid: 5744000
Jiménez-Gracia, L. et al. FixNCut: single-cell genomics through reversible tissue fixation and dissociation. Genome Biol. 25, 81 (2024).
doi: 10.1186/s13059-024-03219-5
pubmed: 38553769
pmcid: 10979608
Martelotto, L. G. Protocol for Nuclei Isolation from Fresh and Frozen Tissues Using Salty-Ez10 or Salty-Ez50 Buffer: Compatible with snRNA-Seq and Multiome Workflows from 10x Genomics v5. https://doi.org/10.17504/protocols.io.bx64prgw (2021).
Heng, L. & Vince Buffalo, K. D. Murray, Brad Langhorst, Rik, zachcp, Fabian Klötzl, Chirag Jain. seqtk Toolkit for processing sequences in FASTA/Q formats (GitHub, 2018).
Fleming, S. J. et al. Unsupervised removal of systematic background noise from droplet-based single-cell experiments using CellBender. Nat. Methods 20, 1323–1335 (2023).
doi: 10.1038/s41592-023-01943-7
pubmed: 37550580
Lun, A. T. L. et al. EmptyDrops: distinguishing cells from empty droplets in droplet-based single-cell RNA sequencing data. Genome Biol. 20, 63 (2019).
doi: 10.1186/s13059-019-1662-y
pubmed: 30902100
pmcid: 6431044
McGinnis, C. S., Murrow, L. M. & Gartner, Z. J. DoubletFinder: doublet detection in single-cell RNA sequencing data using artificial nearest neighbors. Cell Syst. 8, 329–337.e4 (2019).
doi: 10.1016/j.cels.2019.03.003
pubmed: 30954475
pmcid: 6853612
Gu, Z., Eils, R. & Schlesner, M. Complex heatmaps reveal patterns and correlations in multidimensional genomic data. Bioinformatics 32, 2847–2849 (2016).
doi: 10.1093/bioinformatics/btw313
pubmed: 27207943
Tan, Y. & Cahan, P. SingleCellNet: a computational tool to classify single cell RNA-Seq data across platforms and across species. Cell Syst. 9, 207–213.e2 (2019).
doi: 10.1016/j.cels.2019.06.004
pubmed: 31377170
pmcid: 6715530
Tickle, T., Tirosh, I., Georgescu, C., Brown, M. & Haas, B. Infercnv: Inferring CNV from Single-Cell RNA-Seq (Github, 2019).
Bergenstråhle, J., Larsson, L. & Lundeberg, J. Seamless integration of image and molecular analysis for spatial transcriptomics workflows. BMC Genomics 21, 482 (2020).
doi: 10.1186/s12864-020-06832-3
pubmed: 32664861
pmcid: 7386244
Cable, D. M. et al. Robust decomposition of cell type mixtures in spatial transcriptomics. Nat. Biotechnol. 40, 517–526 (2022).
doi: 10.1038/s41587-021-00830-w
pubmed: 33603203
Tirosh, I. et al. Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq. Science 352, 189–196 (2016).
doi: 10.1126/science.aad0501
pubmed: 27124452
pmcid: 4944528
Wang, T., Roach, M., Swarbrick, A. & Martelotto, L. Processed data objects for snPATHO-seq paper. Dryad https://doi.org/10.5061/dryad.7m0cfxq4s (2024).
Wang, T. TaopengWang/snPATHO-seq_public: snPATHO-seq, a versatile FFPE single-nucleus RNA sequencing method to unlock pathology archives. Zenodo https://doi.org/10.5281/zenodo.13892384 (2024).