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Spatial epigenome-transcriptome co-profiling of mammalian tissues.
Zhang, Di; Deng, Yanxiang; Kukanja, Petra; Agirre, Eneritz; Bartosovic, Marek; Dong, Mingze; Ma, Cong; Ma, Sai; Su, Graham; Bao, Shuozhen; Liu, Yang; Xiao, Yang; Rosoklija, Gorazd B; Dwork, Andrew J; Mann, J John; Leong, Kam W; Boldrini, Maura; Wang, Liya; Haeussler, Maximilian; Raphael, Benjamin J; Kluger, Yuval; Castelo-Branco, Gonçalo; Fan, Rong.
Affiliation
  • Zhang D; Department of Biomedical Engineering, Yale University, New Haven, CT, USA.
  • Deng Y; Department of Biomedical Engineering, Yale University, New Haven, CT, USA. yanxiang.deng@pennmedicine.upenn.edu.
  • Kukanja P; Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA. yanxiang.deng@pennmedicine.upenn.edu.
  • Agirre E; Department of Pathology and Laboratory Medicine, Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. yanxiang.deng@pennmedicine.upenn.edu.
  • Bartosovic M; Laboratory of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.
  • Dong M; Laboratory of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.
  • Ma C; Laboratory of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.
  • Ma S; Department of Pathology, Yale University School of Medicine, New Haven, CT, USA.
  • Su G; Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA.
  • Bao S; Department of Computer Science, Princeton University, Princeton, NJ, USA.
  • Liu Y; Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Xiao Y; Department of Biomedical Engineering, Yale University, New Haven, CT, USA.
  • Rosoklija GB; Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA.
  • Dwork AJ; Department of Biomedical Engineering, Yale University, New Haven, CT, USA.
  • Mann JJ; Department of Biomedical Engineering, Yale University, New Haven, CT, USA.
  • Leong KW; Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA.
  • Boldrini M; Department of Biomedical Engineering, Columbia University, New York, NY, USA.
  • Wang L; Department of Psychiatry, Columbia University, New York, NY, USA.
  • Haeussler M; Division of Molecular Imaging and Neuropathology, New York State Psychiatric Institute, New York, NY, USA.
  • Raphael BJ; Macedonian Academy of Sciences & Arts, Skopje, Republic of Macedonia.
  • Kluger Y; Department of Psychiatry, Columbia University, New York, NY, USA.
  • Castelo-Branco G; Division of Molecular Imaging and Neuropathology, New York State Psychiatric Institute, New York, NY, USA.
  • Fan R; Macedonian Academy of Sciences & Arts, Skopje, Republic of Macedonia.
Nature ; 616(7955): 113-122, 2023 04.
Article in En | MEDLINE | ID: mdl-36922587
Emerging spatial technologies, including spatial transcriptomics and spatial epigenomics, are becoming powerful tools for profiling of cellular states in the tissue context1-5. However, current methods capture only one layer of omics information at a time, precluding the possibility of examining the mechanistic relationship across the central dogma of molecular biology. Here, we present two technologies for spatially resolved, genome-wide, joint profiling of the epigenome and transcriptome by cosequencing chromatin accessibility and gene expression, or histone modifications (H3K27me3, H3K27ac or H3K4me3) and gene expression on the same tissue section at near-single-cell resolution. These were applied to embryonic and juvenile mouse brain, as well as adult human brain, to map how epigenetic mechanisms control transcriptional phenotype and cell dynamics in tissue. Although highly concordant tissue features were identified by either spatial epigenome or spatial transcriptome we also observed distinct patterns, suggesting their differential roles in defining cell states. Linking epigenome to transcriptome pixel by pixel allows the uncovering of new insights in spatial epigenetic priming, differentiation and gene regulation within the tissue architecture. These technologies are of great interest in life science and biomedical research.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Chromatin / Transcriptome / Epigenome / Mammals Limits: Animals / Humans Language: En Journal: Nature Year: 2023 Document type: Article Affiliation country: Estados Unidos Country of publication: Reino Unido

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Chromatin / Transcriptome / Epigenome / Mammals Limits: Animals / Humans Language: En Journal: Nature Year: 2023 Document type: Article Affiliation country: Estados Unidos Country of publication: Reino Unido