Evidence map›Paper›PMID 29963329›Full record

ArticleNature biomedical engineering2018

Cell-type-specific brain methylomes profiled via ultralow-input microfluidics.

Sai Ma, Mario de la Fuente Revenga, Zhixiong Sun, Chen Sun, Travis W Murphy, Hehuang Xie, Javier González-Maeso, Chang Lu

Abstract read
In one paragraph

Article in Nature biomedical engineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–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

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  16. Single-cell analysis targeting the proteome.Nature reviews. Chemistry · 2020
    Review
  17. Article
  18. Article
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  20. Mapping chromatin modifications at the single cell level.Development (Cambridge, England) · 2019
    Review
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

8 authors.

Sai MaDepartment of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, VA 24061, USA.
Mario de la Fuente RevengaDepartment of Physiology and Biophysics, Virginia Commonwealth University School of Medicine, Richmond, VA 23298, USA.
Zhixiong SunDepartment of Biological Sciences, Virginia Tech, Blacksburg, VA 24061, USA.
Chen SunDepartment of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, VA 24061, USA.
Travis W MurphyDepartment of Chemical Engineering, Virginia Tech, Blacksburg, VA 24061, USA.
Hehuang XieBiocomplexity Institute of Virginia Tech, Blacksburg, VA 24061, USA.
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.

Funding

Structure and function of the 5HT2A/mGluR2 complex in schizophreniaR01MH084894 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI Javier Gonzalez-Maeso · 2009 to 2026
$6.8M
The epigenetic role of EGR1 during postnatal brain development and in neuronal activityR01NS094574 · NINDS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI XIE, HEHUANG · 2016 to 2020
$1.7M
Preclinical role of HDAC2 in mGlu2-dependent schizophrenia treatmentR01MH111940 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI GONZÁLEZ-MAESO, JAVIER · 2017 to 2021
$1.5M
Probing dynamics in protein-DNA interactions during disease development using sinR01EB017235 · NIBIB · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI LU, CHANG · 2014 to 2017
$1.3M
Ultrasensitive microfluidic ChIP-MethylC-seq for integrative analysis of histone modification and DNA methylationR21HG009256 · NHGRI · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI LU, CHANG · 2016 to 2018
$604k
Structure and function of the 5HT2A-mGlu2 heteromer in schizophreniaR56MH084894 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GONZÁLEZ-MAESO, JAVIER · 2014 to 2014
$422k
NHGRI NIH HHS R21 HG009256NIBIB NIH HHS R01 EB017235NIMH NIH HHS R01 MH084894NIMH NIH HHS R01 MH111940NIMH NIH HHS R56 MH084894NINDS NIH HHS R01 NS094574
6 · The paper itself

Abstract

Methylomic analyses typically require substantial amounts of DNA, thus hindering studies involving scarce samples. Here, we show that microfluidic diffusion-based reduced representative bisulfite sequencing (MID-RRBS) permits high-quality methylomic profiling with nanogram-to-single-cell quantities of starting DNA. We used the microfluidic device, which allows for efficient bisulfite conversion with high DNA recovery, to analyse genome-wide DNA methylation in cell nuclei isolated from mouse brains and sorted into NeuN+ (primarily neuronal) and NeuN- (primarily glial) fractions, and to establish cell-type-specific methylomes. Genome-wide methylation and methylation in low-CpG-density promoter regions showed distinct patterns for NeuN+ and NeuN- fractions from the mouse cerebellum. The identification of substantial variations in the methylomic landscapes of the NeuN+ fraction of the frontal cortex of mice chronically treated with an atypical antipsychotic drug suggests that this technology can be broadly used for cell-type-specific drug profiling and for the study of drug-methylome interactions.

Identifiers

PMID29963329
PMCPMC6023403

What OpenQuestion holds

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Registered trials

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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.