HemAtlas: A Multi-omics Hematopoiesis Database

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/.

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Publication Details

Journal
Genomics Proteomics & Bioinformatics
Published
2025-03-19
DOI
https://doi.org/10.1093/gpbjnl/qzaf026
Citations
1
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.81
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article

HemAtlas: A Multi-omics Hematopoiesis Database

Mengyao Liu, Zhong-Bo Kang, Yifan Zhang, Tongtong Zhu et al.
1 citations
Genomics Proteomics & Bioinformatics
Single-cell and spatial transcriptomics
0.81
article

HemAtlas: A Multi-omics Hematopoiesis Database

Mengyao Liu, Zhong-Bo Kang, Yifan Zhang, Tongtong Zhu, Lu Wang, Feng Liu, Zhang Zhang, Dong Zou
article en
1 citations

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/.

Genomics Proteomics & BioinformaticsVol. 23(2)
Qingdao University (CN), Qingdao Agricultural University (CN), Shandong University (CN), Chinese Academy of Sciences (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Beijing Institute of Genomics (CN), Institute for Stem Cell Biology and Regenerative Medicine (IN), Institute of Hematology & Blood Diseases Hospital (CN), Shanghai Center For Bioinformation Technology (CN), University of Chinese Academy of Sciences (CN), Institute of Zoology (CN)
Life in Land
Openalex Percentile: Top 30%
Single-cell and spatial transcriptomics
0.81
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