Evidence map›Paper›PMID 34244697›Full record

ReviewNature protocols2021

Smart-RRBS for single-cell methylome and transcriptome analysis.

Hongcang Gu, Ayush T Raman, Xiaoxue Wang, Federico Gaiti, Ronan Chaligne, Arman W Mohammad, Aleksandra Arczewska, Zachary D Smith, Dan A Landau, Martin J Aryee and 2 more

Open access · greenAbstract readReview
In one paragraph

Review in Nature protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.

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  17. Advances in single-cell long-read sequencing technologies.NAR genomics and bioinformatics · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 3 countries.

Hongcang Gu *Broad Institute of MIT and Harvard, Cambridge, MA, USA. gu_hongcang@hotmail.com.ORCID http://orcid.org/0000-0002-1439-7606
Ayush T Raman *Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Xiaoxue WangDepartment of Hematology, First Hospital of China Medical University, Shenyang, Liaoning, P. R. China.
Federico GaitiNew York Genome Center, New York, NY, USA.ORCID http://orcid.org/0000-0001-5111-8816
Ronan ChaligneNew York Genome Center, New York, NY, USA.ORCID http://orcid.org/0000-0003-4332-3291
Arman W MohammadBroad Institute of MIT and Harvard, Cambridge, MA, USA.
Aleksandra ArczewskaDepartment of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA.
Zachary D SmithBroad Institute of MIT and Harvard, Cambridge, MA, USA.
Dan A LandauNew York Genome Center, New York, NY, USA.ORCID http://orcid.org/0000-0003-2346-9541
Martin J AryeeBroad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-6848-1344
Alexander MeissnerBroad Institute of MIT and Harvard, Cambridge, MA, USA. meissner@molgen.mpg.de.ORCID http://orcid.org/0000-0001-8646-7469
Andreas GnirkeBroad Institute of MIT and Harvard, Cambridge, MA, USA. gnirke@broadinstitute.org.ORCID http://orcid.org/0000-0001-5324-6387
Broad Institute · USCornell University · USFirst Hospital of China Medical University · CNHarvard University · US

Funding

Regulatory Roles and Dynamics of Nuclear long-noncoding RNAs in PluripotencyP01GM099117 · NIGMS · HARVARD UNIVERSITY · PI MEISSNER, ALEXANDER · 2011 to 2021
$21.2M
Defining Epidrivers of CLL Evolution in Response to Targeted TherapyR01CA229902 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI LANDAU, DAN · 2018 to 2022
$2.4M
Single-cell dissection of cellular programs driving diffuse glioma evolutionK99CA248955 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI GAITI, FEDERICO · 2020 to 2021
$212k
NCI NIH HHS K99 CA248955NCI NIH HHS R01 CA229902NIGMS NIH HHS P01 GM099117
6 · The paper itself

Abstract

The integration of DNA methylation and transcriptional state within single cells is of broad interest. Several single-cell dual- and multi-omics approaches have been reported that enable further investigation into cellular heterogeneity, including the discovery and in-depth study of rare cell populations. Such analyses will continue to provide important mechanistic insights into the regulatory consequences of epigenetic modifications. We recently reported a new method for profiling the DNA methylome and transcriptome from the same single cells in a cancer research study. Here, we present details of the protocol and provide guidance on its utility. Our Smart-RRBS (reduced representation bisulfite sequencing) protocol combines Smart-seq2 and RRBS and entails physically separating mRNA from the genomic DNA. It generates paired epigenetic promoter and RNA-expression measurements for ~24% of protein-coding genes in a typical single cell. It also works for micro-dissected tissue samples comprising hundreds of cells. The protocol, excluding flow sorting of cells and sequencing, takes ~3 d to process up to 192 samples manually. It requires basic molecular biology expertise and laboratory equipment, including a PCR workstation with UV sterilization, a DNA fluorometer and a microfluidic electrophoresis system.

Indexed as

Single-Cell AnalysisAmino Acid SequenceAnti-Bacterial AgentsDNADNA (Cytosine-5-)-MethyltransferasesDoxycyclineEpigenomeGene Expression RegulationHumansIntracellular Signaling Peptides and ProteinsRNA, MessengerTranscriptomeAnti-Bacterial AgentsDNADNA (Cytosine-5-)-MethyltransferasesDoxycyclineFILIP1L protein, humanIntracellular Signaling Peptides and ProteinsRNA, Messenger

Identifiers

PMID34244697
PMCPMC8672372
OpenAlexW3182379854

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.