Evidence map›Paper›PMID 37293095›Full record

ArticlebioRxiv : the preprint server for biology2023

Droplet-based bisulfite sequencing for high-throughput profiling of single-cell DNA methylomes.

Qiang Zhang, Sai Ma, Zhengzhi Liu, Bohan Zhu, Zirui Zhou, Gaoshan Li, J Javier Meana, Javier González-Maeso, Chang Lu

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 2 countries.

Qiang ZhangDepartment of Chemical Engineering, Virginia Tech, Blacksburg, VA 24061, USA.
Sai MaDepartment of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, VA 24061, USA.
Zhengzhi LiuDepartment of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, VA 24061, USA.
Bohan ZhuDepartment of Chemical Engineering, Virginia Tech, Blacksburg, VA 24061, USA.
Zirui ZhouDepartment of Chemical Engineering, Virginia Tech, Blacksburg, VA 24061, USA.
Gaoshan LiDepartment of Chemical Engineering, Virginia Tech, Blacksburg, VA 24061, USA.
J Javier MeanaDepartment of Pharmacology, University of the Basque Country UPV/EHU, CIBERSAM, Biocruces Health Research Institute, E-48940 Leioa, Bizkaia, Spain.
Javier González-MaesoDepartment of Physiology and Biophysics, Virginia Commonwealth University School of Medicine, Richmond, VA 23298, USA.
Chang LuDepartment of Chemical Engineering, Virginia Tech, Blacksburg, VA 24061, USA.
Virginia Tech · USUniversity of the Basque Country · ESVirginia Commonwealth University · US

Funding

Structure and function of the 5HT2A/mGluR2 complex in schizophreniaR01MH084894 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI Javier Gonzalez-Maeso · 2009 to 2026
$6.8M
Understanding Progesterone Receptor action in Obesity for Endometrial Cancer PreventionR01CA243249 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI KIM, JI-YONG JULIE · 2019 to 2024
$2.6M
Droplet microfluidic technology for single-cell epigenomic and multi-omic profilingR01GM143940 · NIGMS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI LU, CHANG · 2021 to 2024
$1.3M
Drop-BS: high-throughput single-cell bisulfite sequencing on a microfluidic droplet platformR21HG010195 · NHGRI · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI LU, CHANG · 2018 to 2020
$624k
NCI NIH HHS R01 CA243249NHGRI NIH HHS R21 HG010195NIGMS NIH HHS R01 GM143940NIMH NIH HHS R01 MH084894
6 · The paper itself

Abstract

Genome-wide DNA methylation profile, or DNA methylome, is a critical component of the overall epigenomic landscape that modulates gene activities and cell fate. Single-cell DNA methylomic studies offer unprecedented resolution for detecting and profiling cell subsets based on methylomic features. However, existing single-cell methylomic technologies are all based on use of tubes or well plates and these platforms are not easily scalable for handling a large number of single cells. Here we demonstrate a droplet-based microfluidic technology, Drop-BS, to construct single-cell bisulfite sequencing libraries for DNA methylome profiling. Drop-BS takes advantage of the ultrahigh throughput offered by droplet microfluidics to prepare bisulfite sequencing libraries of up to 10,000 single cells within 2 d. We applied the technology to profile mixed cell lines, mouse and human brain tissues to reveal cell type heterogeneity. Drop-BS will pave the way for single-cell methylomic studies requiring examination of a large cell population.

Identifiers

PMID37293095
PMCPMC10245959
OpenAlexW4378594321

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.