Evidence map›Paper›PMID 30587107›Full record

ArticleBMC bioinformatics2018

SMARTcleaner: identify and clean off-target signals in SMART ChIP-seq analysis.

Dejian Zhao, Deyou Zheng

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

5 citing papers in PubMed, 4 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

2 authors at 1 institution in 1 country.

Dejian ZhaoDepartment of Genetics, Albert Einstein College of Medicine, 1300 Morris Park Ave, Bronx, New York, USA.
Deyou ZhengDepartment of Genetics, Albert Einstein College of Medicine, 1300 Morris Park Ave, Bronx, New York, USA. deyou.zheng@einstein.yu.edu.
Albert Einstein College of Medicine · US

Funding

Support for the Rose F. Kennedy IDDRCU54HD090260 · NICHD · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI DOBRENIS, KOSTANTIN · 2016 to 2020
$6.0M
Molecular and Cellular Mechanisms in Coronary Artery Development and AnomaliesR01HL133120 · NHLBI · UNIVERSITY OF CHICAGO · PI BIN ZHOU · 2016 to 2026
$4.6M
Monoallelic expression in neurons derived from induced pluripotent stem cellsR01MH099427 · NIMH · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI LACHMAN, HERBERT M · 2013 to 2017
$2.1M
NHLBI NIH HHS HL133120NHLBI NIH HHS R01 HL133120NICHD NIH HHS U54 HD090260NIMH NIH HHS MH099427NIMH NIH HHS R01 MH099427
6 · The paper itself

Abstract

backgroundNoises and artifacts may arise in several steps of the next-generation sequencing (NGS) process. Recently, an NGS library preparation method called SMART, or Switching Mechanism At the 5' end of the RNA Transcript, is introduced to prepare ChIP-seq (chromatin immunoprecipitation and deep sequencing) libraries from small amount of DNA material, using the DNA SMART ChIP-seq Kit. The protocol adds Ts to the 3' end of DNA templates, which is subsequently recognized and used by SMART poly(dA) primers for reverse transcription and then addition of PCR primers and sequencing adapters. The poly(dA) primers, however, can anneal to poly(T) sequences in a genome and amplify DNA fragments that are not enriched in the immunoprecipitated DNA templates. This off-target amplification results in false signals in the ChIP-seq data.

resultsHere, we show that the off-target ChIP-seq reads derived from false amplification of poly(T/A) genomic sequences have unique and strand-specific features. Accordingly, we develop a tool (called "SMARTcleaner") that can exploit these features to remove SMART ChIP-seq artifacts. Application of SMARTcleaner to several SMART ChIP-seq datasets demonstrates that it can remove reads from off-target amplification effectively, leading to significantly improved ChIP-seq peaks and results.

conclusionsSMARTcleaner could identify and clean the false signals in SMART-based ChIP-seq libraries, leading to improvement in peak calling, and downstream data analysis and interpretation.

Indexed as

GenomicsHigh-Throughput Nucleotide SequencingHumansSequence Analysis, DNAChIP-seqFalse amplificationFalse primingNGSSMART

Identifiers

PMID30587107
PMCPMC6307164
OpenAlexW2794641810

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.