Evidence map›Paper›PMID 40106419›Full record

ArticleGenomics, proteomics & bioinformatics2025

HemAtlas: A Multi-omics Hematopoiesis Database.

Zhixin Kang, Tongtong Zhu, Dong Zou, Mengyao Liu, Yifan Zhang, Lu Wang, Zhang Zhang, Feng Liu

Abstract read
In one paragraph

Article in Genomics, proteomics & bioinformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Biomedical Big Data and Artificial Intelligence in Blood.Genomics, proteomics & bioinformatics · 2025
    Article
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

8 authors.

Zhixin KangState Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.ORCID 0009-0007-6611-9310
Tongtong ZhuNational Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China.ORCID 0000-0001-9807-5008
Dong ZouNational Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China.ORCID 0000-0002-7169-4965
Mengyao LiuState Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China.ORCID 0000-0002-4980-4515
Yifan ZhangSchool of Life Sciences, Shandong University, Qingdao 266000, China.ORCID 0009-0000-0635-4967
Lu WangState Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China.ORCID 0000-0003-4788-3237
Zhang ZhangNational Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China.ORCID 0000-0001-6603-5060
Feng LiuState Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.ORCID 0000-0003-3228-0943

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advancements in high-throughput omics technologies have facilitated a systematic exploration of crucial hematopoietic organs across diverse species. A thorough understanding of hematopoiesis in vivo and facilitation of generating functional hematopoietic stem and progenitor cells (HSPCs) in vitro necessitate a comprehensive hematopoietic cross-stage developmental landscape across species. To address this need, we developed HemAtlas, a platform designed for the systematic mapping of hematopoiesis both in vivo and in vitro. HemAtlas features detailed analyses of multi-omics datasets from humans, mice, zebrafish, and HSPC in vitro culture systems. Utilizing literature curation and data normalization, HemAtlas integrates various functional modules, allowing interactive exploration and visualization of any collected omics data based on user-specific interests. Moreover, by applying a systematic and uniform integration method, we constructed organ-wide hematopoietic references for each species with manually curated cell annotations, enabling a comprehensive decoding of cross-stage developmental hematopoiesis at the organ level. Of particular significance are three distinctive functions - single-cell cross-stage, cross-species, and cross-model analyses - that HemAtlas employs to elucidate the hematopoietic development in zebrafish, mice, and humans, and to offer guidance on the generation of HSPCs in vitro. Simultaneously, HemAtlas incorporates a comprehensive map of HSPC cross-stage development to reveal HSPC stage-specific properties. Taken together, HemAtlas serves as a crucial resource to advance our understanding of hematopoiesis and is available at https://ngdc.cncb.ac.cn/hematlas/.

Indexed as

Databases, GeneticGenomicsHematopoiesisAnimalsHematopoietic Stem CellsHumansMiceMultiomicsZebrafishCross-species analysisDevelopmental hematopoiesisHematopoietic databaseIn vitro hematopoietic stem and progenitor cellMulti-omics

Identifiers

PMID40106419
PMCPMC12374576

What Socratic 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 Socratic graph.