Evidence map›Paper›PMID 29842781›Full record

ArticleAnalytical chemistry2018

Microfluidic Low-Input Fluidized-Bed Enabled ChIP-seq Device for Automated and Parallel Analysis of Histone Modifications.

Travis W Murphy, Yuan-Pang Hsieh, Sai Ma, Yan Zhu, Chang Lu

Abstract read
In one paragraph

Article in Analytical chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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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

5 authors.

Travis W Murphy
Yuan-Pang Hsieh
Sai Ma
Yan Zhu

Funding

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
NCI NIH HHS R33 CA214176NHGRI NIH HHS R21 HG009256NIBIB NIH HHS R01 EB017235
6 · The paper itself

Abstract

Genome-wide epigenetic changes, such as histone modifications, form a critical layer of gene regulations and have been implicated in a number of different disorders such as cancer and inflammation. Progress has been made to decrease the input required by gold-standard genome-wide profiling tools like chromatin immunoprecipitation followed by sequencing (i.e., ChIP-seq) to allow scarce primary tissues of a specific type from patients and lab animals to be tested. However, there has been practically no effort to rapidly increase the throughput of these low-input tools. In this report, we demonstrate LIFE-ChIP-seq (low-input fluidized-bed enabled chromatin immunoprecipitation followed by sequencing), an automated and high-throughput microfluidic platform capable of running multiple sets of ChIP assays on multiple histone marks in as little as 1 h with as few as 50 cells per assay. Our technology will enable testing of a large number of samples and replicates with low-abundance primary samples in the context of precision medicine.

Indexed as

AutomationChromatin ImmunoprecipitationMicrofluidic Analytical TechniquesCells, CulturedHigh-Throughput Screening AssaysHistonesHumansHistones

Identifiers

PMID29842781
PMCPMC6019315

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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.