Evidence map›Paper›PMID 29675472›Full record

ArticleScience advances2018

Low-input and multiplexed microfluidic assay reveals epigenomic variation across cerebellum and prefrontal cortex.

Sai Ma, Yuan-Pang Hsieh, Jian Ma, Chang Lu

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

29 citing papers in PubMed, 44 citations in OpenAlex.

  1. Sex-specific role of the 5-HTNature communications · 2025
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  4. Review
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  8. Cell-type-specific epigenomic variations associated withNAR genomics and bioinformatics · 2022
    Article
  9. Review
  10. Article
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  12. Profiling Chromatin Accessibility at Single-cell Resolution.Genomics, proteomics & bioinformatics · 2021
    Review
  13. Article
  14. Article
  15. Article
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  18. Review
  19. Article
  20. A parallelized, automated platform enabling individual or sequential ChIP of histone marks and transcription factors.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
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

4 authors at 2 institutions in 1 country.

Sai MaDepartment of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, VA 24061, USA.ORCID 0000-0003-2565-3609
Yuan-Pang HsiehDepartment of Chemical Engineering, Virginia Tech, Blacksburg, VA 24061, USA.
Jian MaComputational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA.ORCID 0000-0002-4202-5834
Chang LuDepartment of Chemical Engineering, Virginia Tech, Blacksburg, VA 24061, USA.
Virginia Tech · USCarnegie Mellon University · US

Funding

Computational Methods for Next-Generation Comparative GenomicsR01HG007352 · NHGRI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI MA, JIAN · 2014 to 2023
$2.8M
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
Next-generation MOWChIP-seq for high-throughput epigenomic profiling using clinically relevant samplesR33CA214176 · NCI · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI LU, CHANG · 2017 to 2019
$1.2M
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
Single cell epigenomic study based on microfluidic chromatin immunoprecipitationR21HG008623 · NHGRI · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI LU, CHANG, TAN, KAI · 2015 to 2016
$423k
NCI NIH HHS R33 CA214176NHGRI NIH HHS R01 HG007352NHGRI NIH HHS R21 HG008623NHGRI NIH HHS R21 HG009256NIBIB NIH HHS R01 EB017235
6 · The paper itself

Abstract

Extensive effort is under way to survey the epigenomic landscape of primary ex vivo tissues to establish normal reference data and to discern variation associated with disease. The low abundance of some tissue types and the isolation procedure required to generate a homogenous cell population often yield a small quantity of cells for examination. This difficulty is further compounded by the need to profile a myriad of epigenetic marks. Thus, technologies that permit both ultralow input and high throughput are desired. We demonstrate a simple microfluidic technology, SurfaceChIP-seq, for profiling genome-wide histone modifications using as few as 30 to 100 cells per assay and with up to eight assays running in parallel. We applied the technology to profile epigenomes using nuclei isolated from prefrontal cortex and cerebellum of mouse brain. Our cell type-specific data revealed that neuronal and glial fractions exhibited profound epigenomic differences across the two functionally distinct brain regions.

Indexed as

Epigenesis, GeneticEpigenomicsMicrofluidicsAnimalsCerebellumChromatin ImmunoprecipitationEnhancer Elements, GeneticHigh-Throughput Nucleotide SequencingHistonesMaleMicePrefrontal CortexROC CurveHistones

Identifiers

PMID29675472
PMCPMC5906078
OpenAlexW2800916947

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.