Allele-level visualization of transcription and chromatin by high-throughput imaging.

DNA/RNA FISH Genome organization High-throughput imaging In situ hybridization

Journal

Histochemistry and cell biology
ISSN: 1432-119X
Titre abrégé: Histochem Cell Biol
Pays: Germany
ID NLM: 9506663

Informations de publication

Date de publication:
09 May 2024
Historique:
accepted: 11 04 2024
medline: 10 5 2024
pubmed: 10 5 2024
entrez: 9 5 2024
Statut: aheadofprint

Résumé

The spatial arrangement of the genome within the nucleus is a pivotal aspect of cellular organization and function with implications for gene expression and regulation. While all genome organization features, such as loops, domains, and radial positioning, are nonrandom, they are characterized by a high degree of single-cell variability. Imaging approaches are ideally suited to visualize, measure, and study single-cell heterogeneity in genome organization. Here, we describe two methods for the detection of DNA and RNA of individual gene alleles by fluorescence in situ hybridization (FISH) in a high-throughput format. We have optimized combined DNA/RNA FISH approaches either using simultaneous or sequential detection of DNA and nascent RNA. These optimized DNA and RNA FISH protocols were implemented in a 384-well plate format alongside automated image and data analysis and enable accurate detection of individual gene alleles and their gene expression status across a large cell population. We successfully visualized MYC and EGFR DNA and nascent RNA with allele-level resolution in multiple cell types, and we determined the radial position of active and inactive MYC and EGFR alleles. These optimized DNA/RNA detection approaches are versatile and sensitive tools for mapping of chromatin features and gene activity at the single-allele level and at high throughput.

Identifiants

pubmed: 38724854
doi: 10.1007/s00418-024-02289-7
pii: 10.1007/s00418-024-02289-7
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NIH HHS
ID : 1-ZIA-BC010309-24
Pays : United States
Organisme : NIH HHS
ID : 1-ZIC-BC011567-10
Pays : United States
Organisme : NIH HHS
ID : 1-ZIC-BC011567-10
Pays : United States
Organisme : NIH HHS
ID : 1-ZIA-BC010309-24
Pays : United States

Informations de copyright

© 2024. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.

Références

Akgol Oksuz B, Yang L, Abraham S et al (2021) Systematic evaluation of chromosome conformation capture assays. Nat Methods. https://doi.org/10.1038/s41592-021-01248-7
doi: 10.1038/s41592-021-01248-7 pubmed: 34480151 pmcid: 8446342
Arnold JB, Daroczi G, Werth B, et al (2024) ggthemes: Extra Themes, Scales and Geoms for “ggplot2.” https://CRAN.R-project.org/package=ggthemes . Accessed 12 Feb 2024
Barakat TS, Gribnau J (2014) Combined DNA-RNA fluorescent in situ hybridization (FISH) to study X chromosome inactivation in differentiated female mouse embryonic stem cells. J vis Exp. https://doi.org/10.3791/51628
doi: 10.3791/51628 pubmed: 24961515 pmcid: 4189555
Barrett T, Dowle M, Srinivasan A, et al (2024) data.table: Extension of “data.frame.” https://CRAN.R-project.org/package=data.table . Accessed 13 Feb 2024
Benanti JA, Galloway DA (2004) Normal human fibroblasts are resistant to RAS-induced senescence. Mol Cell Biol. https://doi.org/10.1128/mcb.24.7.2842-2852.2004
doi: 10.1128/mcb.24.7.2842-2852.2004 pubmed: 15024073 pmcid: 371123
Bickmore WA (2013) The spatial organization of the human genome. Annu Rev Genom Hum Genet. https://doi.org/10.1146/annurev-genom-091212-153515
doi: 10.1146/annurev-genom-091212-153515
Finn EH, Misteli T (2021) A high-throughput DNA FISH protocol to visualize genome regions in human cells. STAR Protoc. https://doi.org/10.1016/j.xpro.2021.100741
doi: 10.1016/j.xpro.2021.100741 pubmed: 34458868 pmcid: 8377592
Finn EH, Misteli T (2022) Nuclear position modulates long-range chromatin interactions. PLoS Genet. https://doi.org/10.1371/journal.pgen.1010451
doi: 10.1371/journal.pgen.1010451 pubmed: 36206323 pmcid: 9581366
Finn EH, Pegoraro G, Brandão HB et al (2019) Extensive heterogeneity and intrinsic variation in spatial genome organization. Cell. https://doi.org/10.1016/j.cell.2019.01.020
doi: 10.1016/j.cell.2019.01.020 pubmed: 31100268 pmcid: 6629437
Finn EH, Misteli T, Pegoraro G (2022) High-Throughput DNA FISH (hiFISH). STAR Protoc. https://doi.org/10.1007/978-1-0716-2497-5
doi: 10.1007/978-1-0716-2497-5
French J (2023) SpatialTools: Tools for Spatial Data Analysis. https://CRAN.R-project.org/package=SpatialTools . Accessed 12 Feb 2024
Gibcus JH, Dekker J (2013) The Hierarchy of the 3D Genome. Mol Cell. https://doi.org/10.1016/j.molcel.2013.02.011
doi: 10.1016/j.molcel.2013.02.011 pubmed: 23473598 pmcid: 3741673
Hart T, Chandrashekhar M, Aregger M et al (2015) High-resolution CRISPR screens reveal fitness genes and genotype-specific cancer liabilities. Cell. https://doi.org/10.1016/j.cell.2015.11.015
doi: 10.1016/j.cell.2015.11.015 pubmed: 26627737
Hester J, Wickham H, Csárdi G (2023) fs: Cross-Platform File System Operations Based on “libuv.” https://CRAN.R-project.org/package=fs . Accessed 12 Feb 2024
Jowhar Z, Gudla PR, Shachar S et al (2018) HiCTMap: Detection and analysis of chromosome territory structure and position by high-throughput imaging. Methods. https://doi.org/10.1016/j.ymeth.2018.01.013
doi: 10.1016/j.ymeth.2018.01.013 pubmed: 29408376 pmcid: 5993577
Keikhosravi A, Almansour F, Bohrer CH et al (2023) HiTIPS: high-throughput image processing software for the study of nuclear architecture and gene expression. bioRxiv. https://doi.org/10.1101/2023.11.02.565366
doi: 10.1101/2023.11.02.565366 pubmed: 38076967 pmcid: 10705580
Kosak ST, Skok JA, Medina KL, et al (2002) Subnuclear Compartmentalization of Immunoglobulin Loci During Lymphocyte Development. Science. https://doi.org/10.1126/science.1068768
Lai LT, Lee PJ, Zhang LF (2013) Immunofluorescence protects RNA signals in simultaneous RNA-DNA FISH. Exp Cell Res. https://doi.org/10.1016/j.yexcr.2012.11.009
doi: 10.1016/j.yexcr.2012.11.009 pubmed: 23164508
Liu C, Kudo T, Ye X, Gascoigne K (2023) Cell-to-cell variability in Myc dynamics drives transcriptional heterogeneity in cancer cells. Cell Rep. https://doi.org/10.1016/j.celrep.2023.112401
doi: 10.1016/j.celrep.2023.112401 pubmed: 38159277 pmcid: 11062250
Meaburn KJ, Misteli T (2008) Locus-specific and activity-independent gene repositioning during early tumorigenesis. J Cell Biol. https://doi.org/10.1083/jcb.200708204
doi: 10.1083/jcb.200708204 pubmed: 18195100 pmcid: 2213600
Misteli T (2020) The self-organizing genome: principles of genome architecture and function. Cell. https://doi.org/10.1016/j.cell.2020.09.014
doi: 10.1016/j.cell.2020.09.014 pubmed: 32976797 pmcid: 7541718
Nakayama K, Shachar S, Finn EH et al (2022) Large-scale mapping of positional changes of hypoxia-responsive genes upon activation. Mol Biol Cell. https://doi.org/10.1091/mbc.E21-11-0593
doi: 10.1091/mbc.E21-11-0593 pubmed: 36074075 pmcid: 9634966
Orjalo A, Johansson HE, Ruth JL (2011) Stellaris fluorescence in situ hybridization (FISH) probes: a powerful tool for mRNA detection. Nat Methods. https://doi.org/10.1038/nmeth.f.349
doi: 10.1038/nmeth.f.349
Petropoulos S, Edsgärd D, Reinius B et al (2016) Single-cell RNA-Seq reveals lineage and X chromosome dynamics in human preimplantation embryos. Cell. https://doi.org/10.1016/j.cell.2016.03.023
doi: 10.1016/j.cell.2016.03.023 pubmed: 27662094 pmcid: 5628172
Raj A, Tyagi S (2010) Detection of individual endogenous RNA transcripts in situ using multiple singly labeled probes. Methods Enzymol. https://doi.org/10.1016/S0076-6879(10)72004-8
doi: 10.1016/S0076-6879(10)72004-8 pubmed: 20946820
Ramirez RD, Sheridan S, Girard L et al (2004) Immortalization of human bronchial epithelial cells in the absence of viral oncoproteins. Cancer Res. https://doi.org/10.1158/0008-5472.CAN-04-3703
doi: 10.1158/0008-5472.CAN-04-3703 pubmed: 15604268
Scholz BA, Sumida N, de Lima CDM et al (2019) WNT signaling and AHCTF1 promote oncogenic MYC expression through super-enhancer-mediated gene gating. Nat Genet. https://doi.org/10.1038/s41588-019-0535-3
doi: 10.1038/s41588-019-0535-3 pubmed: 31784729 pmcid: 7055269
Shachar S, Voss TC, Pegoraro G et al (2015) Identification of gene positioning factors using high-throughput imaging mapping. Cell. https://doi.org/10.1016/j.cell.2015.07.035
doi: 10.1016/j.cell.2015.07.035 pubmed: 26276637 pmcid: 4538709
Shaffer SM, Wu M, Levesque MJ, Raj A (2013) Turbo FISH: a method for rapid single molecule RNA FISH. PLoS ONE. https://doi.org/10.1371/journal.pone.0075120
doi: 10.1371/journal.pone.0075120 pubmed: 24386434 pmcid: 3873997
Spielmann M, Lupiáñez DG, Mundlos S (2018) Structural variation in the 3D genome. Nat Rev Genet. https://doi.org/10.1038/s41576-018-0007-0
doi: 10.1038/s41576-018-0007-0 pubmed: 29692413
Stringer C, Wang T, Michaelos M, Pachitariu M (2021) Cellpose: a generalist algorithm for cellular segmentation. Nat Methods. https://doi.org/10.1038/s41592-020-01018-x
doi: 10.1038/s41592-020-01018-x pubmed: 33318659
Takizawa T, Gudla PR, Guo L et al (2008) Allele-specific nuclear positioning of the monoallelically expressed astrocyte marker GFAP. Genes Dev. https://doi.org/10.1101/gad.1634608
doi: 10.1101/gad.1634608 pubmed: 18281462 pmcid: 2238670
The R Core Team (2024) The R project for statistical computing. https://www.r-project.org/ . Accessed 12 Feb 2024
Wan Y, Anastasakis DG, Rodriguez J, et al (2021) Dynamic imaging of nascent RNA reveals general principles of transcription dynamics and stochastic splice site selection. https://doi.org/10.1016/j.cell.2021.04.012
Wickham H (2007) Reshaping data with the reshape Package. J Stat Softw. https://doi.org/10.18637/jss.v021.i12
doi: 10.18637/jss.v021.i12
Wickham H, Averick M, Bryan J et al (2019) Welcome to the Tidyverse. J Open Source Softw. https://doi.org/10.21105/joss.01686
doi: 10.21105/joss.01686
Young AP, Jackson DJ, Wyeth RC (2020) A technical review and guide to RNA fluorescence in situ hybridization. PeerJ. https://doi.org/10.7717/peerj.8806
doi: 10.7717/peerj.8806 pubmed: 33150057 pmcid: 7587055

Auteurs

Faisal Almansour (F)

Cell Biology of Genomes, National Cancer Institute, National Institute of Health, Bethesda, MD, 20892, USA.
Department of Biochemistry and Molecular and Cellular Biology, Georgetown University Medical School, Washington, DC, 20057, USA.

Adib Keikhosravi (A)

High-Throughput Imaging Facility, National Cancer Institute, National Institute of Health, Bethesda, MD, 20892, USA.

Gianluca Pegoraro (G)

High-Throughput Imaging Facility, National Cancer Institute, National Institute of Health, Bethesda, MD, 20892, USA.

Tom Misteli (T)

Cell Biology of Genomes, National Cancer Institute, National Institute of Health, Bethesda, MD, 20892, USA. mistelit@mail.nih.gov.

Classifications MeSH