Evidence map›Paper›PMID 37870453›Full record

ArticleNucleic acids research2024

BloodChIP Xtra: an expanded database of comparative genome-wide transcription factor binding and gene-expression profiles in healthy human stem/progenitor subsets and leukemic cells.

Julie A I Thoms, Forrest C Koch, Alireza Raei, Shruthi Subramanian, Jason W H Wong, Fatemeh Vafaee, John E Pimanda

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 9 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 2 countries.

Julie A I ThomsSchool of Biomedical Sciences, University of New South Wales, Sydney, Australia.ORCID 0000-0002-4876-7230
Forrest C KochSchool of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia.ORCID 0000-0002-1890-795X
Alireza RaeiSchool of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia.ORCID 0000-0002-7090-6815
Shruthi SubramanianSchool of Clinical Medicine, University of New South Wales, Sydney, Australia.ORCID 0009-0005-8263-895X
Jason W H WongSchool of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0003-2953-7728
Fatemeh VafaeeSchool of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia.ORCID 0000-0002-7521-2417
John E PimandaSchool of Biomedical Sciences, University of New South Wales, Sydney, Australia.ORCID 0000-0002-0509-8962
UNSW Sydney · AUChinese University of Hong Kong · HK

Funding

Anthony Rothe Memorial TrustInnovation Technology Fund, Hong Kong MHP/054/21Leukemia Lymphoma Society (LLS)-Snowdome Foundation-Leukaemia Foundation 6620-21National Health and Medical Research Council of Australia GNT1139787
6 · The paper itself

Abstract

The BloodChIP Xtra database (http://bloodchipXtra.vafaeelab.com/) facilitates genome-wide exploration and visualization of transcription factor (TF) occupancy and chromatin configuration in rare primary human hematopoietic stem (HSC-MPP) and progenitor (CMP, GMP, MEP) cells and acute myeloid leukemia (AML) cell lines (KG-1, ME-1, Kasumi1, TSU-1621-MT), along with chromatin accessibility and gene expression data from these and primary patient AMLs. BloodChIP Xtra features significantly more datasets than our earlier database BloodChIP (two primary cell types and two cell lines). Improved methodologies for determining TF occupancy and chromatin accessibility have led to increased availability of data for rare primary cell types across the spectrum of healthy and AML hematopoiesis. However, there is a continuing need for these data to be integrated in an easily accessible manner for gene-based queries and use in downstream applications. Here, we provide a user-friendly database based around genome-wide binding profiles of key hematopoietic TFs and histone marks in healthy stem/progenitor cell types. These are compared with binding profiles and chromatin accessibility derived from primary and cell line AML and integrated with expression data from corresponding cell types. All queries can be exported to construct TF-gene and protein-protein networks and evaluate the association of genes with specific cellular processes.

Indexed as

Binding SitesGene Expression ProfilingLeukemia, Myeloid, AcuteChromatinGene Expression RegulationHumansTranscription FactorsChromatinTranscription Factors

Identifiers

PMID37870453
PMCPMC10767868
OpenAlexW4387865461

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.