Evidence map›Paper›PMID 34019290›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

Analysis of Myc Chromatin Binding by Calibrated ChIP-Seq Approach.

Donald P Cameron, Vladislav Kuzin, Laura Baranello

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. 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
2.1field-weighted citation impact, top 14% 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

4 citing papers in PubMed, 6 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

3 authors at 1 institution in 1 country.

Donald P Cameron *Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden.
Vladislav Kuzin *Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden.
Laura BaranelloDepartment of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden. laura.baranello@ki.se.
Karolinska Institutet · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here, we present a strategy to map and quantify the interactions between Myc and chromatin using a calibrated Myc ChIP-seq approach. We recommend the use of an internal spike-in control for post-sequencing normalization to enable detection of broad changes in Myc binding as can occur under conditions with varied Myc abundance. We also highlight a range of bioinformatic analyses that can dissect the downstream effects of Myc binding. These methods include peak calling, mapping Myc onto an integrated metagenome, juxtaposing ChIP-seq data with matching RNA-seq data, and identifying gene ontologies enriched for genes with high Myc binding. Our aim is to provide a guided strategy, from cell harvest through to bioinformatic analysis, to elucidate the global effects of Myc on transcription.

Indexed as

Binding SitesChromatinChromatin ImmunoprecipitationChromatin Immunoprecipitation SequencingComputational BiologyDNADNA-Binding ProteinsGenes, mycHigh-Throughput Nucleotide SequencingHumansProto-Oncogene Proteins c-mycSequence Analysis, DNAChromatinDNADNA-Binding ProteinsProto-Oncogene Proteins c-mycChIP-seqMycSpike-in normalization

Identifiers

PMID34019290
OpenAlexW3163627465

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.