Evidence map›Paper›PMID 32461370›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

A parallelized, automated platform enabling individual or sequential ChIP of histone marks and transcription factors.

Riccardo Dainese, Vincent Gardeux, Gerard Llimos, Daniel Alpern, Jia Yuan Jiang, Antonio Carlos Alves Meireles-Filho, Bart Deplancke

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.7field-weighted citation impact, top 33% 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

10 citing papers in PubMed, 14 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Riccardo DaineseSchool of Life Sciences, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland.
Vincent GardeuxSchool of Life Sciences, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland.ORCID 0000-0001-8954-2161
Gerard LlimosSchool of Life Sciences, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland.ORCID 0000-0003-3311-6782
Daniel AlpernSchool of Life Sciences, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland.ORCID 0000-0002-4023-9652
Jia Yuan JiangSchool of Life Sciences, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland.
Antonio Carlos Alves Meireles-FilhoSchool of Life Sciences, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland.
Bart DeplanckeSchool of Life Sciences, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland; bart.deplancke@epfl.ch.ORCID 0000-0001-9935-843X
SIB Swiss Institute of Bioinformatics · CHÉcole Polytechnique Fédérale de Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite its popularity, chromatin immunoprecipitation followed by sequencing (ChIP-seq) remains a tedious (>2 d), manually intensive, low-sensitivity and low-throughput approach. Here, we combine principles of microengineering, surface chemistry, and molecular biology to address the major limitations of standard ChIP-seq. The resulting technology, FloChIP, automates and miniaturizes ChIP in a beadless fashion while facilitating the downstream library preparation process through on-chip chromatin tagmentation. FloChIP is fast (<2 h), has a wide dynamic range (from 10

Indexed as

AutomationB-LymphocytesCell Line, TumorChromatin Immunoprecipitation SequencingHistonesHumansMEF2 Transcription FactorsProtein BindingHistonesMEF2 Transcription FactorsChIP-seqepigeneticsmicrofluidicstranscription factor

Identifiers

PMID32461370
PMCPMC7306797
OpenAlexW3031640309

What OpenQuestion holds

Textmetadata
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.