1
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Perez MW, Camplisson CK, Beliveau BJ. Designing Oligonucleotide-Based FISH Probe Sets with PaintSHOP. Methods Mol Biol 2024; 2784:177-189. [PMID: 38502486 DOI: 10.1007/978-1-0716-3766-1_12] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/21/2024]
Abstract
Fluorescent in situ hybridization (FISH) enables the visualization of the position and abundance of nucleic acid molecules in fixed cell and tissue samples. Many FISH-based methods employ sets of synthetic, computationally designed DNA oligonucleotide (oligo) FISH probes, including massively multiplexed imaging spatial transcriptomics and spatial genomics technologies. Oligo probes can either be designed de novo or accessed from an existing database of pre-discovered probe sequences. This chapter describes the use of PaintSHOP, a user-friendly, web-based platform for the design of sets of oligo-based FISH probes. PaintSHOP hosts large collections of pre-discovered probes from many model organisms and also provides collections of functional sequences such as primers and readout domains and interactive tools to add these functional sequences to selected probes. Detailed examples are provided for three common experimental scenarios.
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Affiliation(s)
- Monika W Perez
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Conor K Camplisson
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Brian J Beliveau
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA.
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA, USA.
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2
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Malachowski T, Chandradoss KR, Boya R, Zhou L, Cook AL, Su C, Pham K, Haws SA, Kim JH, Ryu HS, Ge C, Luppino JM, Nguyen SC, Titus KR, Gong W, Wallace O, Joyce EF, Wu H, Rojas LA, Phillips-Cremins JE. Spatially coordinated heterochromatinization of long synaptic genes in fragile X syndrome. Cell 2023; 186:5840-5858.e36. [PMID: 38134876 PMCID: PMC10794044 DOI: 10.1016/j.cell.2023.11.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Revised: 07/31/2023] [Accepted: 11/16/2023] [Indexed: 12/24/2023]
Abstract
Short tandem repeat (STR) instability causes transcriptional silencing in several repeat expansion disorders. In fragile X syndrome (FXS), mutation-length expansion of a CGG STR represses FMR1 via local DNA methylation. Here, we find megabase-scale H3K9me3 domains on autosomes and encompassing FMR1 on the X chromosome in FXS patient-derived iPSCs, iPSC-derived neural progenitors, EBV-transformed lymphoblasts, and brain tissue with mutation-length CGG expansion. H3K9me3 domains connect via inter-chromosomal interactions and demarcate severe misfolding of TADs and loops. They harbor long synaptic genes replicating at the end of S phase, replication-stress-induced double-strand breaks, and STRs prone to stepwise somatic instability. CRISPR engineering of the mutation-length CGG to premutation length reverses H3K9me3 on the X chromosome and multiple autosomes, refolds TADs, and restores gene expression. H3K9me3 domains can also arise in normal-length iPSCs created with perturbations linked to genome instability, suggesting their relevance beyond FXS. Our results reveal Mb-scale heterochromatinization and trans interactions among loci susceptible to instability.
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Affiliation(s)
- Thomas Malachowski
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA; Epigenetics Institute, University of Pennsylvania, Philadelphia, PA, USA; Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Keerthivasan Raanin Chandradoss
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA; Epigenetics Institute, University of Pennsylvania, Philadelphia, PA, USA; Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Ravi Boya
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA; Epigenetics Institute, University of Pennsylvania, Philadelphia, PA, USA; Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Linda Zhou
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA; Epigenetics Institute, University of Pennsylvania, Philadelphia, PA, USA; Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Ashley L Cook
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA; Epigenetics Institute, University of Pennsylvania, Philadelphia, PA, USA; Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Chuanbin Su
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA; Epigenetics Institute, University of Pennsylvania, Philadelphia, PA, USA; Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Kenneth Pham
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA; Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Spencer A Haws
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA; Epigenetics Institute, University of Pennsylvania, Philadelphia, PA, USA; Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Ji Hun Kim
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
| | - Han-Seul Ryu
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA; Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Chunmin Ge
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
| | - Jennifer M Luppino
- Epigenetics Institute, University of Pennsylvania, Philadelphia, PA, USA; Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Son C Nguyen
- Epigenetics Institute, University of Pennsylvania, Philadelphia, PA, USA; Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Katelyn R Titus
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA; Epigenetics Institute, University of Pennsylvania, Philadelphia, PA, USA; Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Wanfeng Gong
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA; Epigenetics Institute, University of Pennsylvania, Philadelphia, PA, USA; Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Owen Wallace
- Fulcrum Therapeutics Incorporated, Cambridge, MA, USA
| | - Eric F Joyce
- Epigenetics Institute, University of Pennsylvania, Philadelphia, PA, USA; Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Hao Wu
- Fulcrum Therapeutics Incorporated, Cambridge, MA, USA
| | | | - Jennifer E Phillips-Cremins
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA; Epigenetics Institute, University of Pennsylvania, Philadelphia, PA, USA; Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA.
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3
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Alexandrov T, Saez‐Rodriguez J, Saka SK. Enablers and challenges of spatial omics, a melting pot of technologies. Mol Syst Biol 2023; 19:e10571. [PMID: 37842805 PMCID: PMC10632737 DOI: 10.15252/msb.202110571] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 07/31/2023] [Accepted: 08/03/2023] [Indexed: 10/17/2023] Open
Abstract
Spatial omics has emerged as a rapidly growing and fruitful field with hundreds of publications presenting novel methods for obtaining spatially resolved information for any omics data type on spatial scales ranging from subcellular to organismal. From a technology development perspective, spatial omics is a highly interdisciplinary field that integrates imaging and omics, spatial and molecular analyses, sequencing and mass spectrometry, and image analysis and bioinformatics. The emergence of this field has not only opened a window into spatial biology, but also created multiple novel opportunities, questions, and challenges for method developers. Here, we provide the perspective of technology developers on what makes the spatial omics field unique. After providing a brief overview of the state of the art, we discuss technological enablers and challenges and present our vision about the future applications and impact of this melting pot.
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Affiliation(s)
- Theodore Alexandrov
- Structural and Computational Biology UnitEuropean Molecular Biology LaboratoryHeidelbergGermany
- Molecular Medicine Partnership UnitEuropean Molecular Biology LaboratoryHeidelbergGermany
- BioInnovation InstituteCopenhagenDenmark
| | - Julio Saez‐Rodriguez
- Molecular Medicine Partnership UnitEuropean Molecular Biology LaboratoryHeidelbergGermany
- Faculty of Medicine and Heidelberg University Hospital, Institute for Computational BiomedicineHeidelberg UniversityHeidelbergGermany
| | - Sinem K Saka
- Genome Biology UnitEuropean Molecular Biology LaboratoryHeidelbergGermany
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4
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Warren R, Shaik A, Teubner L, Lyu H, De Langhe S. Protocol for the use of signal amplification by exchange reaction-fluorescence in situ hybridization on adult formalin-fixed paraffin-embedded mouse lung tissue. STAR Protoc 2023; 4:102353. [PMID: 37302070 DOI: 10.1016/j.xpro.2023.102353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 04/11/2023] [Accepted: 05/12/2023] [Indexed: 06/13/2023] Open
Abstract
Fluorescence in situ hybridization (FISH) is a useful tool for analyzing RNA expression, but difficulties arise with low-abundance RNA and in tissues that are formalin-fixed paraffin-embedded (FFPE) because reagents can be expensive. In this protocol, we adapt a previously designed FISH amplification protocol (SABER [signal amplification by exchange reaction]) for adult mouse FFPE lung sections by using probes that are extended and branched to amplify the signal. We combine FISH and immunostaining to identify cell-specific RNA. For complete details on the use and execution of this protocol, please refer to Kishi et al.1 and Lyu et al.2.
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Affiliation(s)
- Rachel Warren
- Department of Medicine, Mayo Clinic, Rochester, MN 55902, USA.
| | - Aftab Shaik
- Department of Medicine, Mayo Clinic, Rochester, MN 55902, USA
| | - Lauren Teubner
- Department of Medicine, Mayo Clinic, Rochester, MN 55902, USA
| | - Handeng Lyu
- Department of Medicine, Mayo Clinic, Rochester, MN 55902, USA
| | - Stijn De Langhe
- Department of Medicine, Mayo Clinic, Rochester, MN 55902, USA.
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5
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Won JH, Choi JS, Jun JI. CCN1 interacts with integrins to regulate intestinal stem cell proliferation and differentiation. Nat Commun 2022; 13:3117. [PMID: 35660741 PMCID: PMC9166801 DOI: 10.1038/s41467-022-30851-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 05/20/2022] [Indexed: 12/14/2022] Open
Abstract
Intestinal stem cells (ISCs) at the crypt base contribute to intestinal homeostasis through a balance between self-renewal and differentiation. However, the molecular mechanisms regulating this homeostatic balance remain elusive. Here we show that the matricellular protein CCN1/CYR61 coordinately regulates ISC proliferation and differentiation through distinct pathways emanating from CCN1 interaction with integrins αvβ3/αvβ5. Mice that delete Ccn1 in Lgr5 + ISCs or express mutant CCN1 unable to bind integrins αvβ3/αvβ5 exhibited exuberant ISC expansion and enhanced differentiation into secretory cells at the expense of absorptive enterocytes in the small intestine, leading to nutrient malabsorption. Analysis of crypt organoids revealed that through integrins αvβ3/αvβ5, CCN1 induces NF-κB-dependent Jag1 expression to regulate Notch activation for differentiation and promotes Src-mediated YAP activation and Dkk1 expression to control Wnt signaling for proliferation. Moreover, CCN1 and YAP amplify the activities of each other in a regulatory loop. These findings establish CCN1 as a niche factor in the intestinal crypts, providing insights into how matrix signaling exerts overarching control of ISC homeostasis. Intestinal stem cells contribute to homeostasis through a balance between self-renewal and differentiation. Here the authors show that CCN1 is an intestinal stem cell niche factor that activates integrin αvβ3/αvβ5 signaling to regulate proliferation and differentiation through distinct downstream pathways.
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Affiliation(s)
- Jong Hoon Won
- Department of Biochemistry and Molecular Genetics, College of Medicine, The University of Illinois at Chicago, 900 South Ashland Avenue, Chicago, IL, 60607, USA
| | - Jacob S Choi
- Department of Biochemistry and Molecular Genetics, College of Medicine, The University of Illinois at Chicago, 900 South Ashland Avenue, Chicago, IL, 60607, USA.,Department of Medicine, Northwestern University, 676 North St. Clair street Arkes Suite 2330, Chicago, IL, 60611, USA
| | - Joon-Il Jun
- Department of Biochemistry and Molecular Genetics, College of Medicine, The University of Illinois at Chicago, 900 South Ashland Avenue, Chicago, IL, 60607, USA.
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6
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Miga KH, Sullivan BA. Expanding studies of chromosome structure and function in the era of T2T genomics. Hum Mol Genet 2021; 30:R198-R205. [PMID: 34302168 PMCID: PMC8631062 DOI: 10.1093/hmg/ddab214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 07/16/2021] [Accepted: 07/20/2021] [Indexed: 11/13/2022] Open
Abstract
The recent accomplishment of a truly complete human genome has afforded a new view of chromosome structure and function that was limited 30 years ago. Here, we discuss the expansion of knowledge from the early cytological studies of the genome to the current high-resolution genomic, epigenetic and functional maps that have been achieved by recent technology and computational advances. These studies have revealed unexpected complexities of genome organization and function and uncovered new views of fundamental chromosomal elements. Comprehensive genomic maps will enable accurate diagnosis of human diseases caused by altered chromosome structure and function, facilitate development of chromosome-based therapies and shape the future of preventative medicine and healthcare.
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Affiliation(s)
- Karen H Miga
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Beth A Sullivan
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, USA
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7
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PaintSHOP enables the interactive design of transcriptome- and genome-scale oligonucleotide FISH experiments. Nat Methods 2021; 18:937-944. [PMID: 34226720 PMCID: PMC8349872 DOI: 10.1038/s41592-021-01187-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 05/18/2021] [Indexed: 12/31/2022]
Abstract
Fluorescence in situ hybridization (FISH) allows researchers to visualize the spatial position and quantity of nucleic acids in fixed samples. Recently, considerable progress has been made in developing oligonucleotide (oligo)-based FISH methods that have enabled researchers to study the three-dimensional organization of the genome at super-resolution and visualize the spatial patterns of gene expression for thousands of genes in individual cells. However, there are few existing computational tools to support the bioinformatics workflows necessary to carry out these experiments utilizing oligo FISH probes. Here, we introduce Paint Server and Homology Optimization Pipeline (PaintSHOP), an interactive platform for the design of oligo FISH experiments. PaintSHOP enables researchers to identify probes for their experimental targets efficiently, to incorporate additional necessary sequences such as primer pairs, and to easily generate files documenting library design. PaintSHOP democratizes and standardizes the process of designing complex probe sets for the oligo FISH community. Paint Server and Homology Optimization Pipeline (PaintSHOP), an interactive platform for the design of oligo FISH experiments, democratizes and standardizes the process of designing complex probe sets for the oligo FISH community.
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8
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Liu G, Zhang T. Single Copy Oligonucleotide Fluorescence In Situ Hybridization Probe Design Platforms: Development, Application and Evaluation. Int J Mol Sci 2021; 22:ijms22137124. [PMID: 34281175 PMCID: PMC8268824 DOI: 10.3390/ijms22137124] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 06/28/2021] [Accepted: 06/29/2021] [Indexed: 12/30/2022] Open
Abstract
Oligonucleotides fluorescence in situ hybridization (Oligo-FISH) is an emerging technology and is an important tool in research areas such as detection of chromosome variation, identification of allopolyploid, and deciphering of three-dimensional (3D) genome structures. Based on the demand for highly efficient oligo probes for oligo-FISH experiments, increasing numbers of tools have been developed for probe design in recent years. Obsolete oligonucleotide design tools have been adapted for oligo-FISH probe design because of their similar considerations. With the development of DNA sequencing and large-scale synthesis, novel tools have been designed to increase the specificity of designed oligo probes and enable genome-scale oligo probe design, which has greatly improved the application of single copy oligo-FISH. Despite this, few studies have introduced the development of the oligo-FISH probe design tools and their application in FISH experiments systematically. Besides, a comprehensive comparison and evaluation is lacking for the available tools. In this review, we provide an overview of the oligo-FISH probe design process, summarize the development and application of the available tools, evaluate several state-of-art tools, and eventually provide guidance for single copy oligo-FISH probe design.
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Affiliation(s)
- Guanqing Liu
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Key Laboratory of Plant Functional Genomics of the Ministry of Education, Agricultural College of Yangzhou University, Yangzhou 225009, China;
- Jiangsu Key Laboratory of Crop Genetics and Physiology, Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China
| | - Tao Zhang
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Key Laboratory of Plant Functional Genomics of the Ministry of Education, Agricultural College of Yangzhou University, Yangzhou 225009, China;
- Jiangsu Key Laboratory of Crop Genetics and Physiology, Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China
- Institutes of Agricultural Science and Technology Development, Joint International Research Laboratory of Agriculture and Agri-Product Safety of the Ministry of Education, Yangzhou University, Yangzhou 225009, China
- Correspondence:
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9
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Liu M, Yang B, Hu M, Radda JS, Chen Y, Jin S, Cheng Y, Wang S. Chromatin tracing and multiplexed imaging of nucleome architectures (MINA) and RNAs in single mammalian cells and tissue. Nat Protoc 2021; 16:2667-2697. [PMID: 33903756 PMCID: PMC9007104 DOI: 10.1038/s41596-021-00518-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Accepted: 02/05/2021] [Indexed: 02/02/2023]
Abstract
The genome is hierarchically organized into several 3D architectures, including chromatin loops, domains, compartments and regions associated with nuclear lamina and nucleoli. Changes in these architectures have been associated with normal development, aging and a wide range of diseases. Despite its critical importance, understanding how the genome is spatially organized in single cells, how organization varies in different cell types in mammalian tissue and how organization affects gene expression remains a major challenge. Previous approaches have been limited by a lack of capacity to directly trace chromatin folding in 3D and to simultaneously measure genomic organization in relation to other nuclear components and gene expression in the same single cells. We have developed an image-based 3D genomics technique termed 'chromatin tracing', which enables direct 3D tracing of chromatin folding along individual chromosomes in single cells. More recently, we also developed multiplexed imaging of nucleome architectures (MINA), which enables simultaneous measurements of multiscale chromatin folding, associations of genomic regions with nuclear lamina and nucleoli and copy numbers of numerous RNA species in the same single cells in mammalian tissue. Here, we provide detailed protocols for chromatin tracing in cell lines and MINA in mammalian tissue, which take 3-4 d for experimental work and 2-3 d for data analysis. We expect these developments to be broadly applicable and to affect many lines of research on 3D genomics by depicting multiscale genomic architectures associated with gene expression, in different types of cells and tissue undergoing different biological processes.
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Affiliation(s)
- Miao Liu
- Department of Genetics, Yale University School of Medicine, New Haven, CT, USA
| | - Bing Yang
- Department of Genetics, Yale University School of Medicine, New Haven, CT, USA
| | - Mengwei Hu
- Department of Genetics, Yale University School of Medicine, New Haven, CT, USA
| | - Jonathan S.D. Radda
- Department of Genetics, Yale University School of Medicine, New Haven, CT, USA
| | - Yanbo Chen
- Department of Genetics, Yale University School of Medicine, New Haven, CT, USA
| | - Shengyan Jin
- Department of Genetics, Yale University School of Medicine, New Haven, CT, USA
| | - Yubao Cheng
- Department of Genetics, Yale University School of Medicine, New Haven, CT, USA
| | - Siyuan Wang
- Department of Genetics, Yale University School of Medicine, New Haven, CT, USA,Department of Cell Biology, Yale University School of Medicine, New Haven, CT, USA,Yale Combined Program in the Biological and Biomedical Sciences, Yale University, New Haven, CT, USA,Molecular Cell Biology, Genetics and Development Program, Yale University, New Haven, CT, USA,Biochemistry, Quantitative Biology, Biophysics and Structural Biology Program, Yale University, New Haven, CT, USA,M.D.-Ph.D. Program, Yale University, New Haven, CT, USA,Yale Center for RNA Science and Medicine, Yale University School of Medicine, New Haven, CT, USA,Yale Liver Center, Yale University School of Medicine, New Haven, CT, USA,Correspondence:
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10
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Mohr SE, Tattikota SG, Xu J, Zirin J, Hu Y, Perrimon N. Methods and tools for spatial mapping of single-cell RNAseq clusters in Drosophila. Genetics 2021; 217:6156631. [PMID: 33713129 DOI: 10.1093/genetics/iyab019] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Accepted: 02/02/2021] [Indexed: 01/26/2023] Open
Abstract
Single-cell RNA sequencing (scRNAseq) experiments provide a powerful means to identify clusters of cells that share common gene expression signatures. A major challenge in scRNAseq studies is to map the clusters to specific anatomical regions along the body and within tissues. Existing data, such as information obtained from large-scale in situ RNA hybridization studies, cell type specific transcriptomics, gene expression reporters, antibody stainings, and fluorescent tagged proteins, can help to map clusters to anatomy. However, in many cases, additional validation is needed to precisely map the spatial location of cells in clusters. Several approaches are available for spatial resolution in Drosophila, including mining of existing datasets, and use of existing or new tools for direct or indirect detection of RNA, or direct detection of proteins. Here, we review available resources and emerging technologies that will facilitate spatial mapping of scRNAseq clusters at high resolution in Drosophila. Importantly, we discuss the need, available approaches, and reagents for multiplexing gene expression detection in situ, as in most cases scRNAseq clusters are defined by the unique coexpression of sets of genes.
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Affiliation(s)
- Stephanie E Mohr
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Sudhir Gopal Tattikota
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Jun Xu
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Jonathan Zirin
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Yanhui Hu
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Norbert Perrimon
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA.,Howard Hughes Medical Institute, Boston, MA 02115, USA
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11
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Amamoto R, Garcia MD, West ER, Choi J, Lapan SW, Lane EA, Perrimon N, Cepko CL. Probe-Seq: Method for RNA Sequencing of Specific Cell Types from Animal Tissue. Bio Protoc 2020; 10:e3749. [PMID: 33659409 PMCID: PMC7842722 DOI: 10.21769/bioprotoc.3749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Revised: 07/14/2020] [Accepted: 07/30/2020] [Indexed: 11/02/2022] Open
Abstract
Most organs and tissues are composed of many types of cells. To characterize cellular state, various transcription profiling approaches are currently available, including whole-tissue bulk RNA sequencing, single cell RNA sequencing (scRNA-Seq), and cell type-specific RNA sequencing. What is missing in this repertoire is a simple, versatile method for bulk transcriptional profiling of cell types for which cell type-specific genetic markers or antibodies are not readily available. We therefore developed Probe-Seq, which uses hybridization of gene-specific probes to RNA markers for isolation of specific types of cells, to enable downstream FACS isolation and bulk RNA sequencing. We show that this method can enable isolation and profiling of specific cell types from mouse retina, frozen human retina, Drosophila midgut, and developing chick retina, suggesting that it is likely useful for most organisms.
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Affiliation(s)
- Ryoji Amamoto
- Departments of Genetics and Ophthalmology, Howard Hughes Medical Institute, Blavatnik Institute, Harvard Medical School, Boston MA 02115, USA
| | - Mauricio D. Garcia
- Departments of Genetics and Ophthalmology, Howard Hughes Medical Institute, Blavatnik Institute, Harvard Medical School, Boston MA 02115, USA
| | - Emma R. West
- Departments of Genetics and Ophthalmology, Howard Hughes Medical Institute, Blavatnik Institute, Harvard Medical School, Boston MA 02115, USA
| | - Jiho Choi
- Departments of Genetics and Ophthalmology, Howard Hughes Medical Institute, Blavatnik Institute, Harvard Medical School, Boston MA 02115, USA
| | - Sylvain W. Lapan
- Departments of Genetics and Ophthalmology, Howard Hughes Medical Institute, Blavatnik Institute, Harvard Medical School, Boston MA 02115, USA
| | - Elizabeth A. Lane
- Department of Genetics, Howard Hughes Medical Institute, Blavatnik Institute, Harvard Medical School, Boston MA 02115, USA
| | - Norbert Perrimon
- Department of Genetics, Howard Hughes Medical Institute, Blavatnik Institute, Harvard Medical School, Boston MA 02115, USA
| | - Constance L. Cepko
- Departments of Genetics and Ophthalmology, Howard Hughes Medical Institute, Blavatnik Institute, Harvard Medical School, Boston MA 02115, USA
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