Evidence map›Paper›PMID 30243574›Full record

ArticleExperimental hematology2018

The Human Cell Atlas bone marrow single-cell interactive web portal.

Stuart B Hay, Kyle Ferchen, Kashish Chetal, H Leighton Grimes, Nathan Salomonis

Registry-linked trialOpen access · hybridAbstract readComparative Study
In one paragraph

Article in Experimental hematology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07177300 (Effectiveness of Nontraditional Hydroxyurea Algorithms), which is not on this map. Cited by 167 papers.

0numbers the graph read from it
0cells of the map it votes in
167citing papers in PubMed
8.1field-weighted citation impact, top 2% 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.

NCT07177300 phase4recruitingnot on this mapstarted 2024, after this paper: background citation

Effectiveness of Nontraditional Hydroxyurea Algorithms: Novel and Clinical Evaluations (ENHANCE)

TypeinterventionalSponsorChildren's Hospital Medical Center, CincinnatiRan2024 to 2028Enrolled50ConditionsSickle Cell Anemia (HbSS), Sickle-β0-thalassemia (HbSβ0)ArmsPK-optimized oral hydroxyurea at MTD until 15 years of age.
3 · Its place in the literature

Who cites it

167 citing papers in PubMed, 265 citations in OpenAlex.

  1. Trial
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  6. Neutrophils in cancer.Nature reviews. Cancer · 2026
    Review
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  10. Organism-scale annotation with Pan-human Azimuth.bioRxiv : the preprint server for biology · 2026
    Article
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  19. HSCs/MPPs as cells of origin with altered differentiation hierarchy impairing immunomicroenvironment inProceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  20. Article

107 more citing papers are in PubMed but not listed here.

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

5 authors at 2 institutions in 1 country.

Stuart B HayDivision of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Kyle FerchenDepartment of Pediatrics, University of Cincinnati School of Medicine, Cincinnati, Ohio, USA.
Kashish ChetalDivision of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
H Leighton GrimesDepartment of Pediatrics, University of Cincinnati School of Medicine, Cincinnati, Ohio, USA; Division of Immunobiology and Center for Systems Immunology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA; Division of Experimental Hematology and Cancer Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Nathan SalomonisDivision of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA; Department of Pediatrics, University of Cincinnati School of Medicine, Cincinnati, Ohio, USA; Department of Biomedical Informatics, University of Cincinnati, Cincinnati, OH, USA. Electronic address: Nathan.Salomonis@cchmc.org.
Cincinnati Children's Hospital Medical Center · USUniversity of Cincinnati · US

Funding

Unbiased identification of spliceosome vulnerabilities across cancerR01CA226802 · NCI · CINCINNATI CHILDRENS HOSP MED CTR · PI SALOMONIS, NATHAN G. · 2018 to 2022
$2.4M
A rapid spontaneous murine model of CN-AMLR01CA196658 · NCI · CINCINNATI CHILDRENS HOSP MED CTR · PI GRIMES, H. LEIGHTON · 2016 to 2018
$2.2M
NCI NIH HHS R01 CA196658NCI NIH HHS R01 CA226802
6 · The paper itself

Abstract

The Human Cell Atlas (HCA) is expected to facilitate the creation of reference cell profiles, marker genes, and gene regulatory networks that will provide a deeper understanding of healthy and disease cell types from clinical biospecimens. The hematopoietic system includes dozens of distinct, transcriptionally coherent cell types, including intermediate transitional populations that have not been previously described at a molecular level. Using the first data release from the HCA bone marrow tissue project, we resolved common, rare, and potentially transitional cell populations from over 100,000 hematopoietic cells spanning 35 transcriptionally coherent groups across eight healthy donors using emerging new computational approaches. These data highlight novel mixed-lineage progenitor populations and putative trajectories governing granulocytic, monocytic, lymphoid, erythroid, megakaryocytic, and eosinophil specification. Our analyses suggest significant variation in cell-type composition and gene expression among donors, including biological processes affected by donor age. To enable broad exploration of these findings, we provide an interactive website to probe intra-cell and extra-cell population differences within and between donors and reference markers for cellular classification and cellular trajectories through associated progenitor states.

Indexed as

Atlases as TopicBone Marrow CellsComputational BiologyInternetBase SequenceBone Marrow TransplantationCell LineageDNA Barcoding, TaxonomicFemaleGene Regulatory NetworksGenetic VariationHematopoietic Stem CellsHumansMaleReference StandardsRNARNA

Identifiers

PMID30243574
PMCPMC6296228
OpenAlexW2889628524

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.