Evidence map›Paper›PMID 34754775›Full record

ArticleMethodsX2021

A novel method for the normalization of ChIP-qPCR data.

Elizabeth R Solomon, Kevin K Caldwell, Andrea M Allan

Abstract read
In one paragraph

Article in MethodsX, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Transposase-Assisted Donor Tethering Boosts Large-Fragment HDR in Plants.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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

3 authors.

Elizabeth R SolomonDepartment of Neurosciences, University of New Mexico HSC, United States.
Kevin K CaldwellDepartment of Neurosciences, University of New Mexico HSC, United States.
Andrea M AllanDepartment of Neurosciences, University of New Mexico HSC, United States.

Funding

Prenatal arsenic exposure alters transcriptional, post-transcriptional and post-translational programming of the glucocorticoid system in a sexually dimorphic mannerR01ES019583 · NIEHS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI ALLAN, ANDREA M · 2011 to 2021
$3.3M
NIEHS NIH HHS R01 ES019583
6 · The paper itself

Abstract

ChIP-qPCR permits the study of protein and chromatin interactions. The general technique can apply to the study of the interactions of protein with RNA, and the methylation state of genomic DNA. While the technique is vital to our understanding of epigenetic processes, there is much confusion around the proper normalization methods. Percent Input has recently emerged as a normalization standard, due to its reproducibility and accuracy. This method relies on the use of a constant volume of ChIP Isolate in each qPCR assay. Researchers may accidentally run qPCR assays with a constant amount of isolate, a common practice for RT-qPCR; however, the traditional Percent Input method cannot accurately normalize these data. We developed a novel method that can normalize these data to provide the same reproducible Percent Input value. Here, we present evidence that this novel method of normalizing ChIP-qPCR data works with real samples. Later, we present a mathematical proof which shows how a Percent Input value calculated from Cq (quantification cycle) values obtained from qPCR run with a constant amount (in nanograms of DNA in ChIP isolate) is equal to the traditional Percent Input calculated from quantification cycle (Cq) values obtained from running a constant volume of ChIP isolate.•

Indexed as

ChromatinDilution factorImmunoprecipitationPercent input

Identifiers

PMID34754775
PMCPMC8563474

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Registered trials

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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.