Literature DB >> 32350457

Simultaneous quantification of protein-DNA interactions and transcriptomes in single cells with scDam&T-seq.

Corina M Markodimitraki1, Franka J Rang1, Koos Rooijers1, Sandra S de Vries1, Alex Chialastri2,3, Kim L de Luca1, Silke J A Lochs1, Dylan Mooijman1,4, Siddharth S Dey5,6, Jop Kind7.   

Abstract

Protein-DNA interactions are essential for establishing cell type-specific chromatin architecture and gene expression. We recently developed scDam&T-seq, a multi-omics method that can simultaneously quantify protein-DNA interactions and the transcriptome in single cells. The method effectively combines two existing methods: DNA adenine methyltransferase identification (DamID) and CEL-Seq2. DamID works through the tethering of a protein of interest (POI) to the Escherichia coli DNA adenine methyltransferase (Dam). Upon expression of this fusion protein, DNA in proximity to the POI is methylated by Dam and can be selectively digested and amplified. CEL-Seq2, in contrast, makes use of poly-dT primers to reverse transcribe mRNA, followed by linear amplification through in vitro transcription. scDam&T-seq is the first technique capable of providing a combined readout of protein-DNA contact and transcription from single-cell samples. Once suitable cell lines have been established, the protocol can be completed in 5 d, with a throughput of hundreds to thousands of cells. The processing of raw sequencing data takes an additional 1-2 d. Our method can be used to understand the transcriptional changes a cell undergoes upon the DNA binding of a POI. It can be performed in any laboratory with access to FACS, robotic and high-throughput-sequencing facilities.

Entities:  

Mesh:

Substances:

Year:  2020        PMID: 32350457      PMCID: PMC7779467          DOI: 10.1038/s41596-020-0314-8

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  5 in total

1.  scPCOR-seq enables co-profiling of chromatin occupancy and RNAs in single cells.

Authors:  Lixia Pan; Wai Lim Ku; Qingsong Tang; Yaqiang Cao; Keji Zhao
Journal:  Commun Biol       Date:  2022-07-08

Review 2.  Applications of single-cell sequencing in cancer research: progress and perspectives.

Authors:  Yalan Lei; Rong Tang; Jin Xu; Wei Wang; Bo Zhang; Jiang Liu; Xianjun Yu; Si Shi
Journal:  J Hematol Oncol       Date:  2021-06-09       Impact factor: 17.388

3.  Single-cell profiling of transcriptome and histone modifications with EpiDamID.

Authors:  Franka J Rang; Kim L de Luca; Sandra S de Vries; Christian Valdes-Quezada; Ellen Boele; Phong D Nguyen; Isabel Guerreiro; Yuko Sato; Hiroshi Kimura; Jeroen Bakkers; Jop Kind
Journal:  Mol Cell       Date:  2022-04-01       Impact factor: 19.328

Review 4.  Single-cell genomics to understand disease pathogenesis.

Authors:  Seitaro Nomura
Journal:  J Hum Genet       Date:  2020-09-19       Impact factor: 3.172

5.  Integrated single-cell sequencing of 5-hydroxymethylcytosine and genomic DNA using scH&G-seq.

Authors:  Alex Chialastri; Chatarin Wangsanuwat; Siddharth S Dey
Journal:  STAR Protoc       Date:  2021-12-11
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.