Literature DB >> 35225292

Reusable Single Cell for Iterative Epigenomic Analyses.

Hidetaka Ohnuki1, David J Venzon2, Alexei Lobanov3, Giovanna Tosato4.   

Abstract

Current single-cell epigenome analyses are designed for single use. The cell is discarded after a single use, preventing analysis of multiple epigenetic marks in a single cell and requiring data from other cells to distinguish signal from experimental background noise in a single cell. This paper describes a method to reuse the same single cell for iterative epigenomic analyses. In this experimental method, cellular proteins are first anchored to a polyacrylamide polymer instead of crosslinking them to protein and DNA, alleviating structural bias. This critical step allows repeated experiments with the same single cell. Next, a random primer with a scaffold sequence for proximity ligation is annealed to the genomic DNA, and the genomic sequence is added to the primer by extension using a DNA polymerase. Subsequently, an antibody against an epigenetic marker and control IgG, each labeled with different DNA probes, are bound to the respective targets in the same single cell. Proximity ligation is induced between the random primer and the antibody by adding a connector DNA with complementary sequences to the scaffold sequence of the random primer and the antibody-DNA probe. This approach integrates antibody information and nearby genome sequences in a single DNA product of proximity ligation. By enabling repeated experiments with the same single cell, this method allows an increase in data density from a rare cell and statistical analysis using only IgG and antibody data from the same cell. The reusable single cells prepared by this method can be stored for at least a few months and reused later to broaden epigenetic characterization and increase data density. This method provides flexibility to researchers and their projects.

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Year:  2022        PMID: 35225292      PMCID: PMC9376938          DOI: 10.3791/63456

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.424


  18 in total

1.  TET-catalyzed oxidation of intragenic 5-methylcytosine regulates CTCF-dependent alternative splicing.

Authors:  Ryan J Marina; David Sturgill; Marc A Bailly; Morgan Thenoz; Garima Varma; Maria F Prigge; Kyster K Nanan; Sanjeev Shukla; Nazmul Haque; Shalini Oberdoerffer
Journal:  EMBO J       Date:  2015-12-28       Impact factor: 11.598

Review 2.  Enzyme immunoassay and enzyme-linked immunosorbent assay.

Authors:  Stephanie D Gan; Kruti R Patel
Journal:  J Invest Dermatol       Date:  2013-09       Impact factor: 8.551

3.  A short history, principles, and types of ELISA, and our laboratory experience with peptide/protein analyses using ELISA.

Authors:  Suleyman Aydin
Journal:  Peptides       Date:  2015-04-20       Impact factor: 3.750

4.  A chromatin integration labelling method enables epigenomic profiling with lower input.

Authors:  Akihito Harada; Kazumitsu Maehara; Tetsuya Handa; Yasuhiro Arimura; Jumpei Nogami; Yoko Hayashi-Takanaka; Katsuhiko Shirahige; Hitoshi Kurumizaka; Hiroshi Kimura; Yasuyuki Ohkawa
Journal:  Nat Cell Biol       Date:  2018-12-10       Impact factor: 28.824

5.  Chromatin Potential Identified by Shared Single-Cell Profiling of RNA and Chromatin.

Authors:  Sai Ma; Bing Zhang; Lindsay M LaFave; Andrew S Earl; Zachary Chiang; Yan Hu; Jiarui Ding; Alison Brack; Vinay K Kartha; Tristan Tay; Travis Law; Caleb Lareau; Ya-Chieh Hsu; Aviv Regev; Jason D Buenrostro
Journal:  Cell       Date:  2020-10-23       Impact factor: 41.582

6.  An ultra high-throughput method for single-cell joint analysis of open chromatin and transcriptome.

Authors:  Chenxu Zhu; Miao Yu; Hui Huang; Ivan Juric; Armen Abnousi; Rong Hu; Jacinta Lucero; M Margarita Behrens; Ming Hu; Bing Ren
Journal:  Nat Struct Mol Biol       Date:  2019-11-06       Impact factor: 15.369

7.  Single-cell ChIP-seq reveals cell subpopulations defined by chromatin state.

Authors:  Assaf Rotem; Oren Ram; Noam Shoresh; Ralph A Sperling; Alon Goren; David A Weitz; Bradley E Bernstein
Journal:  Nat Biotechnol       Date:  2015-10-12       Impact factor: 54.908

8.  scNMT-seq enables joint profiling of chromatin accessibility DNA methylation and transcription in single cells.

Authors:  Stephen J Clark; Ricard Argelaguet; Chantriolnt-Andreas Kapourani; Thomas M Stubbs; Heather J Lee; Celia Alda-Catalinas; Felix Krueger; Guido Sanguinetti; Gavin Kelsey; John C Marioni; Oliver Stegle; Wolf Reik
Journal:  Nat Commun       Date:  2018-02-22       Impact factor: 14.919

9.  A comparative analysis of library prep approaches for sequencing low input translatome samples.

Authors:  Yang Song; Beatrice Milon; Sandra Ott; Xuechu Zhao; Lisa Sadzewicz; Amol Shetty; Erich T Boger; Luke J Tallon; Robert J Morell; Anup Mahurkar; Ronna Hertzano
Journal:  BMC Genomics       Date:  2018-09-21       Impact factor: 3.969

10.  Iterative epigenomic analyses in the same single cell.

Authors:  Hidetaka Ohnuki; David J Venzon; Alexei Lobanov; Giovanna Tosato
Journal:  Genome Res       Date:  2021-02-24       Impact factor: 9.043

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