Single-cell multi-omics profiling uncovers the immune heterogeneity in HIV-infected immunological non-responders

This study was supported by the grants from Special Research Fund for the Central High-level Hospitals of Peking Union Medical College Hospital (Grant No. 2022-PUMCH-D-008), Chinese Academy of Medical Sciences (CAMS) Innovation Fund for Medical Sciences (Grant No. 2021-I2M-1-037), National Key Technologies R&D Program for the 13th Five-year Plan (Grant No. 2017ZX10202101-001). The funders played no role in the design, experiment conduction, data analysis and preparation of the manuscript of this work.

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Publication Details

Journal
EBioMedicine
Published
2025-04-05
DOI
https://doi.org/10.1016/j.ebiom.2025.105667
Citations
11
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
8.87
Controls
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article

Single-cell multi-omics profiling uncovers the immune heterogeneity in HIV-infected immunological non-responders

Lianfeng Lu, Yuanni Wu, Xiaojing Song, Fada Wang et al.
11 citations
EBioMedicine
Single-cell and spatial transcriptomics
8.87
article

Single-cell multi-omics profiling uncovers the immune heterogeneity in HIV-infected immunological non-responders

Lianfeng Lu, Yuanni Wu, Xiaojing Song, Fada Wang, Wei Cao, Leidan Zhang, Taisheng Li, Yang Yang, Ling Chen, Xiaodi Li, Jia Tang, Xiaosheng Liu, Liyuan Zheng, Yang Han
article en
11 citations

Abstract

This study was supported by the grants from Special Research Fund for the Central High-level Hospitals of Peking Union Medical College Hospital (Grant No. 2022-PUMCH-D-008), Chinese Academy of Medical Sciences (CAMS) Innovation Fund for Medical Sciences (Grant No. 2021-I2M-1-037), National Key Technologies R&D Program for the 13th Five-year Plan (Grant No. 2017ZX10202101-001). The funders played no role in the design, experiment conduction, data analysis and preparation of the manuscript of this work.

EBioMedicineVol. 115
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking Union Medical College Hospital (CN)
Openalex Percentile: Top 2%
Single-cell and spatial transcriptomics
8.87
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