Evidence map›Paper›PMID 39012609›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Summary of ChIP-Seq Methods and Description of an Optimized ChIP-Seq Protocol.

Maria Theresa M Fadri, Jessica B Lee, Albert J Keung

Abstract read
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Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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.

Maria Theresa M FadriDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, USA. fadrim23@ecu.edu.
Jessica B LeeDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, USA.
Albert J KeungDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, USA. ajkeung@ncsu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chromatin immunoprecipitation (ChIP) is an invaluable method to characterize interactions between proteins and genomic DNA, such as the genomic localization of transcription factors and post-translational modification of histones. DNA and proteins are reversibly and covalently crosslinked using formaldehyde. Then the cells are lysed to release the chromatin. The chromatin is fragmented into smaller sizes either by micrococcal nuclease (MN) or sonication and then purified from other cellular components. The protein-DNA complexes are enriched by immunoprecipitation (IP) with antibodies that target the epitope of interest. The DNA is released from the proteins by heat and protease treatment, followed by degradation of contaminating RNAs with RNase. The resulting DNA is analyzed using various methods, including polymerase chain reaction (PCR), quantitative PCR (qPCR), or sequencing. This protocol outlines each of these steps for both yeast and human cells. This chapter includes a contextual discussion of the combination of ChIP with DNA analysis methods such as ChIP-on-Chip, ChIP-qPCR, and ChIP-Seq, recent updates on ChIP-Seq data analysis pipelines, complementary methods for identification of binding sites of DNA binding proteins, and additional protocol information about ChIP-qPCR and ChIP-Seq.

Indexed as

Chromatin Immunoprecipitation SequencingBinding SitesChromatinChromatin ImmunoprecipitationDNADNA-Binding ProteinsHigh-Throughput Nucleotide SequencingHumansChromatinDNADNA-Binding ProteinsAntibodyChIP-PCRChIP-SeqChromatinCrosslinkingCUT&RUNCUT&TagData analysisHumanImmunoprecipitationNGS sequencingscChIPYeast

Identifiers

What OpenQuestion holds

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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.