Evidence map›Paper›PMID 32957776›Full record

ArticleAnalytical chemistry2020

Multiplexed and Ultralow-Input ChIP-seq Enabled by Tagmentation-Based Indexing and Facile Microfluidics.

Chengyu Deng, Travis W Murphy, Qiang Zhang, Lynette B Naler, Alice Xu, Chang Lu

Open access · greenAbstract read
In one paragraph

Article in Analytical chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 46% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

6 authors at 1 institution in 1 country.

Chengyu DengDepartment of Chemical Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.
Travis W MurphyDepartment of Chemical Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.
Qiang ZhangDepartment of Chemical Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.
Lynette B NalerDepartment of Chemical Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.
Alice XuBlacksburg High School, Blacksburg, Virginia 24060, United States.
Chang LuDepartment of Chemical Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.ORCID 0000-0003-0181-5888
Virginia Tech · US

Funding

Tumor Tissue CoreP30CA012197 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Ruben A. Mesa · 1985 to 2026
$55.4M
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
NCI NIH HHS P30 CA012197NCI NIH HHS R33 CA214176
6 · The paper itself

Abstract

Epigenome constitutes an important layer that regulates gene expression and dynamics during development and diseases. Extensive efforts have been made to develop epigenome profiling methods using a low number of cells and with high throughput. Chromatin immunoprecipitation (ChIP) is the most important approach for profiling genome-wide epigenetic changes such as histone modifications. In this report, we demonstrate microfluidic ChIPmentation (mu-CM), a microfluidic technology that enables profiling cell samples that individually do not generate enough ChIP DNA for sequencing library preparation. We used a simple microfluidic device to allow eight samples to be processed simultaneously. The samples were indexed differently using a tagmentation-based approach (ChIPmentation) and then merged for library preparation. A histone modification profile for each individual sample was obtained by demultiplexing the sequencing reads based on the indexes. Our technology allowed profiling 20 cells and is well suited for cell-type-specific studies using low-abundance tissues.

Indexed as

Chromatin ImmunoprecipitationAntibodiesCell LineChromatinDNAHistonesHumansMagneticsMethylationMicrofluidicsPolymerase Chain ReactionSequence Analysis, DNAAntibodiesChromatinDNAHistones

Identifiers

PMID32957776
PMCPMC7578044
OpenAlexW3087697258

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.