Evidence map›Paper›PMID 38234771›Full record

ArticlebioRxiv : the preprint server for biology2024

Single-cell transcriptional mapping reveals genetic and non-genetic determinants of aberrant differentiation in AML.

Andy G X Zeng, Ilaria Iacobucci, Sayyam Shah, Amanda Mitchell, Gordon Wong, Suraj Bansal, David Chen, Qingsong Gao, Hyerin Kim, James A Kennedy and 5 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 24 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 5 institutions in 3 countries.

Andy G X ZengPrincess Margaret Cancer Centre, University Health Network; Toronto, ON, Canada.ORCID 0000-0002-3223-6400
Ilaria IacobucciDepartment of Pathology, St Jude Children's Research Hospital, Memphis, TN, USA.
Sayyam ShahPrincess Margaret Cancer Centre, University Health Network; Toronto, ON, Canada.
Amanda MitchellPrincess Margaret Cancer Centre, University Health Network; Toronto, ON, Canada.
Gordon WongPrincess Margaret Cancer Centre, University Health Network; Toronto, ON, Canada.
Suraj BansalPrincess Margaret Cancer Centre, University Health Network; Toronto, ON, Canada.
David ChenPrincess Margaret Cancer Centre, University Health Network; Toronto, ON, Canada.
Qingsong GaoDepartment of Pathology, St Jude Children's Research Hospital, Memphis, TN, USA.
Hyerin KimPrincess Margaret Cancer Centre, University Health Network; Toronto, ON, Canada.
James A KennedyDivision of Medical Oncology and Hematology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.
Andrea ArrudaPrincess Margaret Cancer Centre, University Health Network; Toronto, ON, Canada.
Mark D MindenPrincess Margaret Cancer Centre, University Health Network; Toronto, ON, Canada.
Torsten HaferlachMLL Münchner Leukämielabor GmbH, München, Germany.
Charles G MullighanDepartment of Pathology, St Jude Children's Research Hospital, Memphis, TN, USA.
John E DickPrincess Margaret Cancer Centre, University Health Network; Toronto, ON, Canada.ORCID 0000-0002-9527-8317
University Health Network · CASt. Jude Children's Research Hospital · USPrincess Margaret Cancer Centre · CAMunich Leukemia Laboratory (Germany) · DESunnybrook Health Science Centre · CA

Funding

Viral Vector Technology (VVTSR)P30CA021765 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI CHARLES ROBERTS · 1985 to 2026
$166.9M
Translating genomic discoveries to improved outcomes for high risk acute leukemiaR35CA197695 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI Charles G Mullighan · 2017 to 2026
$11.4M
NCI NIH HHS P30 CA021765NCI NIH HHS R35 CA197695
6 · The paper itself

Abstract

In acute myeloid leukemia (AML), genetic mutations distort hematopoietic differentiation, resulting in the accumulation of leukemic blasts. Yet, it remains unclear how these mutations intersect with cellular origins and whether they converge upon similar differentiation patterns. Single-cell RNA sequencing (scRNA-seq) has enabled high-resolution mapping of the relationship between leukemia and normal cell states, yet this application is hampered by imprecise reference maps of normal hematopoiesis and small sample sizes among patient cohorts. As a first step we constructed a reference atlas of human bone marrow hematopoiesis from 263,519 single-cell transcriptomes spanning 55 cellular states, that was benchmarked against independent datasets of immunophenotypically pure hematopoietic stem and progenitor cells. Using this reference atlas, we mapped over 1.2 million single-cell transcriptomes spanning 318 AML, mixed phenotype acute leukemia (MPAL), and acute erythroid leukemia (AEL) samples. This large-scale analysis, together with systematic mapping of genotype-to-phenotype associations between driver mutations and differentiation landscapes, revealed convergence of diverse genetic alterations on twelve recurrent patterns of aberrant differentiation in AML. This included unconventional lymphoid and erythroid priming linked to

Identifiers

PMID38234771
PMCPMC10793439
OpenAlexW4390297987

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.