Single cell atlas: a single-cell multi-omics human cell encyclopedia
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, spa...
Main Authors: | , , , , , , , , , , , , |
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Format: | Journal Article |
Language: | English |
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2024
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Online Access: | https://hdl.handle.net/10356/179621 |
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author | Pan, Lu Parini, Paolo Tremmel, Roman Loscalzo, Joseph Lauschke, Volker M. Maron, Bradley A. Paci, Paola Ernberg, Ingemar Tan, Nguan Soon Liao, Zehuan Yin, Weiyao Rengarajan, Sundararaman Li, Xuexin |
author2 | Lee Kong Chian School of Medicine (LKCMedicine) |
author_facet | Lee Kong Chian School of Medicine (LKCMedicine) Pan, Lu Parini, Paolo Tremmel, Roman Loscalzo, Joseph Lauschke, Volker M. Maron, Bradley A. Paci, Paola Ernberg, Ingemar Tan, Nguan Soon Liao, Zehuan Yin, Weiyao Rengarajan, Sundararaman Li, Xuexin |
author_sort | Pan, Lu |
collection | NTU |
description | 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. |
first_indexed | 2024-10-01T06:00:47Z |
format | Journal Article |
id | ntu-10356/179621 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T06:00:47Z |
publishDate | 2024 |
record_format | dspace |
spelling | ntu-10356/1796212024-08-18T15:39:34Z Single cell atlas: a single-cell multi-omics human cell encyclopedia Pan, Lu Parini, Paolo Tremmel, Roman Loscalzo, Joseph Lauschke, Volker M. Maron, Bradley A. Paci, Paola Ernberg, Ingemar Tan, Nguan Soon Liao, Zehuan Yin, Weiyao Rengarajan, Sundararaman Li, Xuexin Lee Kong Chian School of Medicine (LKCMedicine) School of Biological Sciences Medicine, Health and Life Sciences Single-cell omics Multi-omics 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. Published version Open access funding provided by Karolinska Institute. This work is supported by the Karolinska Institute Network Medicine Global Alliance (KI NMA) collaborative grant C24401073 (X.L., L.P.), C62623013 (X.L., L.P.), and C331612602 (X.L., L.P.). 2024-08-13T06:01:19Z 2024-08-13T06:01:19Z 2024 Journal Article Pan, L., Parini, P., Tremmel, R., Loscalzo, J., Lauschke, V. M., Maron, B. A., Paci, P., Ernberg, I., Tan, N. S., Liao, Z., Yin, W., Rengarajan, S. & Li, X. (2024). Single cell atlas: a single-cell multi-omics human cell encyclopedia. Genome Biology, 25(1). https://dx.doi.org/10.1186/s13059-024-03246-2 1474-760X https://hdl.handle.net/10356/179621 10.1186/s13059-024-03246-2 25 2-s2.0-85191077853 1 25 en Genome Biology © The Author(s) 2024. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http:// creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. application/pdf |
spellingShingle | Medicine, Health and Life Sciences Single-cell omics Multi-omics Pan, Lu Parini, Paolo Tremmel, Roman Loscalzo, Joseph Lauschke, Volker M. Maron, Bradley A. Paci, Paola Ernberg, Ingemar Tan, Nguan Soon Liao, Zehuan Yin, Weiyao Rengarajan, Sundararaman Li, Xuexin Single cell atlas: a single-cell multi-omics human cell encyclopedia |
title | Single cell atlas: a single-cell multi-omics human cell encyclopedia |
title_full | Single cell atlas: a single-cell multi-omics human cell encyclopedia |
title_fullStr | Single cell atlas: a single-cell multi-omics human cell encyclopedia |
title_full_unstemmed | Single cell atlas: a single-cell multi-omics human cell encyclopedia |
title_short | Single cell atlas: a single-cell multi-omics human cell encyclopedia |
title_sort | single cell atlas a single cell multi omics human cell encyclopedia |
topic | Medicine, Health and Life Sciences Single-cell omics Multi-omics |
url | https://hdl.handle.net/10356/179621 |
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