Single Cell Atlas: a single-cell multi-omics human cell encyclopedia

Lu Pan; Paolo Parini; Roman Tremmel; Joseph Loscalzo; Volker M. Lauschke; Bradley A. Maron; Paola Paci; Ingemar Ernberg; Nguan Soon Tan; Zehuan Liao; Weiyao Yin; Sundararaman Rengarajan; Xuexin Li

doi:10.1186/s13059-024-03246-2

Single Cell Atlas: a single-cell multi-omics human cell encyclopedia

Lu Pan, Paolo Parini, Roman Tremmel, Joseph Loscalzo, Volker M. Lauschke, Bradley A. Maron, Paola Paci, Ingemar Ernberg, Nguan Soon Tan, Zehuan Liao, Weiyao Yin, Sundararaman Rengarajan, Xuexin Li^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

9 Citations (Scopus)

Abstract

Single-cell sequencing datasets are key in biology and medicine for unraveling insights into heterogeneous cell populations with unprecedented resolution. Here, we construct a single-cell multi-omics map of human tissues through in-depth characterizations of datasets from five single-cell omics, spatial transcriptomics, and two bulk omics across 125 healthy adult and fetal tissues. We construct its complement web-based platform, the Single Cell Atlas (SCA, www.singlecellatlas.org), to enable vast interactive data exploration of deep multi-omics signatures across human fetal and adult tissues. The atlas resources and database queries aspire to serve as a one-stop, comprehensive, and time-effective resource for various omics studies.

Original language	English
Article number	104
Journal	Genome Biology
Volume	25
Issue number	1
DOIs	https://doi.org/10.1186/s13059-024-03246-2
Publication status	Published - Dec 2024
Externally published	Yes

Bibliographical note

Publisher Copyright:
© The Author(s) 2024.

ASJC Scopus Subject Areas

Ecology, Evolution, Behavior and Systematics
Genetics
Cell Biology

Keywords

Flow cytometry
Human database
Mass cytometry
Multi-omics
Single Cell Atlas
Single-cell ATAC-sequencing
Single-cell immune profiling
Single-cell omics
Single-cell RNA-sequencing
Spatial transcriptomics

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1186/s13059-024-03246-2

Cite this

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abstract = "Single-cell sequencing datasets are key in biology and medicine for unraveling insights into heterogeneous cell populations with unprecedented resolution. Here, we construct a single-cell multi-omics map of human tissues through in-depth characterizations of datasets from five single-cell omics, spatial transcriptomics, and two bulk omics across 125 healthy adult and fetal tissues. We construct its complement web-based platform, the Single Cell Atlas (SCA, www.singlecellatlas.org), to enable vast interactive data exploration of deep multi-omics signatures across human fetal and adult tissues. The atlas resources and database queries aspire to serve as a one-stop, comprehensive, and time-effective resource for various omics studies.",

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doi = "10.1186/s13059-024-03246-2",

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AU - Pan, Lu

AU - Parini, Paolo

AU - Tremmel, Roman

AU - Loscalzo, Joseph

AU - Lauschke, Volker M.

AU - Maron, Bradley A.

AU - Paci, Paola

AU - Ernberg, Ingemar

AU - Tan, Nguan Soon

AU - Liao, Zehuan

AU - Yin, Weiyao

AU - Rengarajan, Sundararaman

AU - Li, Xuexin

N1 - Publisher Copyright: © The Author(s) 2024.

PY - 2024/12

Y1 - 2024/12

N2 - Single-cell sequencing datasets are key in biology and medicine for unraveling insights into heterogeneous cell populations with unprecedented resolution. Here, we construct a single-cell multi-omics map of human tissues through in-depth characterizations of datasets from five single-cell omics, spatial transcriptomics, and two bulk omics across 125 healthy adult and fetal tissues. We construct its complement web-based platform, the Single Cell Atlas (SCA, www.singlecellatlas.org), to enable vast interactive data exploration of deep multi-omics signatures across human fetal and adult tissues. The atlas resources and database queries aspire to serve as a one-stop, comprehensive, and time-effective resource for various omics studies.

AB - Single-cell sequencing datasets are key in biology and medicine for unraveling insights into heterogeneous cell populations with unprecedented resolution. Here, we construct a single-cell multi-omics map of human tissues through in-depth characterizations of datasets from five single-cell omics, spatial transcriptomics, and two bulk omics across 125 healthy adult and fetal tissues. We construct its complement web-based platform, the Single Cell Atlas (SCA, www.singlecellatlas.org), to enable vast interactive data exploration of deep multi-omics signatures across human fetal and adult tissues. The atlas resources and database queries aspire to serve as a one-stop, comprehensive, and time-effective resource for various omics studies.

KW - Flow cytometry

KW - Human database

KW - Mass cytometry

KW - Multi-omics

KW - Single Cell Atlas

KW - Single-cell ATAC-sequencing

KW - Single-cell immune profiling

KW - Single-cell omics

KW - Single-cell RNA-sequencing

KW - Spatial transcriptomics

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Single Cell Atlas: a single-cell multi-omics human cell encyclopedia

Abstract

Bibliographical note

ASJC Scopus Subject Areas

Keywords

UN SDGs

Access to Document

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