迈向人类和小鼠脂肪组织在单细胞分辨率的共识图谱

IF 18.9 1区 医学 Q1 ENDOCRINOLOGY & METABOLISM
Anne Loft, Margo P. Emont, Ada Weinstock, Adeline Divoux, Adhideb Ghosh, Allon Wagner, Ann V. Hertzel, Babukrishna Maniyadath, Bart Deplancke, Boxiang Liu, Camilla Scheele, Carey Lumeng, Changhai Ding, Chenkai Ma, Christian Wolfrum, Clarissa Strieder-Barboza, Congru Li, Danh D. Truong, David A. Bernlohr, Elisabet Stener-Victorin, Erin E. Kershaw, Esti Yeger-Lotem, Farnaz Shamsi, Hannah X. Hui, Henrique Camara, Jiawei Zhong, Joanna Kalucka, Joseph A. Ludwig, Julie A. Semon, Jutta Jalkanen, Katie L. Whytock, Kyle D. Dumont, Lauren M. Sparks, Lindsey A. Muir, Lingzhao Fang, Lucas Massier, Luis R. Saraiva, Marc D. Beyer, Marc G. Jeschke, Marcelo A. Mori, Mariana Boroni, Martin J. Walsh, Mary-Elizabeth Patti, Matthew D. Lynes, Matthias Blüher, Mikael Rydén, Natnael Hamda, Nicole L. Solimini, Niklas Mejhert, Peng Gao, Rana K. Gupta, Rinki Murphy, Saeed Pirouzpanah, Silvia Corvera, Su’an Tang, Swapan K. Das, Søren F. Schmidt, Tao Zhang, Theodore M. Nelson, Timothy E. O’Sullivan, Vissarion Efthymiou, Wenjing Wang, Yihan Tong, Yu-Hua Tseng, Susanne Mandrup, Evan D. Rosen
{"title":"迈向人类和小鼠脂肪组织在单细胞分辨率的共识图谱","authors":"Anne Loft, Margo P. Emont, Ada Weinstock, Adeline Divoux, Adhideb Ghosh, Allon Wagner, Ann V. Hertzel, Babukrishna Maniyadath, Bart Deplancke, Boxiang Liu, Camilla Scheele, Carey Lumeng, Changhai Ding, Chenkai Ma, Christian Wolfrum, Clarissa Strieder-Barboza, Congru Li, Danh D. Truong, David A. Bernlohr, Elisabet Stener-Victorin, Erin E. Kershaw, Esti Yeger-Lotem, Farnaz Shamsi, Hannah X. Hui, Henrique Camara, Jiawei Zhong, Joanna Kalucka, Joseph A. Ludwig, Julie A. Semon, Jutta Jalkanen, Katie L. Whytock, Kyle D. Dumont, Lauren M. Sparks, Lindsey A. Muir, Lingzhao Fang, Lucas Massier, Luis R. Saraiva, Marc D. Beyer, Marc G. Jeschke, Marcelo A. Mori, Mariana Boroni, Martin J. Walsh, Mary-Elizabeth Patti, Matthew D. Lynes, Matthias Blüher, Mikael Rydén, Natnael Hamda, Nicole L. Solimini, Niklas Mejhert, Peng Gao, Rana K. Gupta, Rinki Murphy, Saeed Pirouzpanah, Silvia Corvera, Su’an Tang, Swapan K. Das, Søren F. Schmidt, Tao Zhang, Theodore M. Nelson, Timothy E. O’Sullivan, Vissarion Efthymiou, Wenjing Wang, Yihan Tong, Yu-Hua Tseng, Susanne Mandrup, Evan D. Rosen","doi":"10.1038/s42255-025-01296-9","DOIUrl":null,"url":null,"abstract":"<p>Adipose tissue (AT) is a complex connective tissue with a high relative proportion of adipocytes, which are specialized cells with the ability to store lipids in large droplets. AT is found in multiple discrete depots throughout the body, where it serves as the primary repository for excess calories. In addition, AT has an important role in functions as diverse as insulation, immunity and regulation of metabolic homeostasis. The Human Cell Atlas Adipose Bionetwork was established to support the generation of single-cell atlases of human AT as well as the development of unified approaches and consensus for cell annotation. Here, we provide a first roadmap from this bionetwork, including our suggested cell annotations for humans and mice, with the aim of describing the state of the field and providing guidelines for the production, analysis, interpretation and presentation of AT single-cell data.</p>","PeriodicalId":19038,"journal":{"name":"Nature metabolism","volume":"12 1","pages":""},"PeriodicalIF":18.9000,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Towards a consensus atlas of human and mouse adipose tissue at single-cell resolution\",\"authors\":\"Anne Loft, Margo P. Emont, Ada Weinstock, Adeline Divoux, Adhideb Ghosh, Allon Wagner, Ann V. Hertzel, Babukrishna Maniyadath, Bart Deplancke, Boxiang Liu, Camilla Scheele, Carey Lumeng, Changhai Ding, Chenkai Ma, Christian Wolfrum, Clarissa Strieder-Barboza, Congru Li, Danh D. Truong, David A. Bernlohr, Elisabet Stener-Victorin, Erin E. Kershaw, Esti Yeger-Lotem, Farnaz Shamsi, Hannah X. Hui, Henrique Camara, Jiawei Zhong, Joanna Kalucka, Joseph A. Ludwig, Julie A. Semon, Jutta Jalkanen, Katie L. Whytock, Kyle D. Dumont, Lauren M. Sparks, Lindsey A. Muir, Lingzhao Fang, Lucas Massier, Luis R. Saraiva, Marc D. Beyer, Marc G. Jeschke, Marcelo A. Mori, Mariana Boroni, Martin J. Walsh, Mary-Elizabeth Patti, Matthew D. Lynes, Matthias Blüher, Mikael Rydén, Natnael Hamda, Nicole L. Solimini, Niklas Mejhert, Peng Gao, Rana K. Gupta, Rinki Murphy, Saeed Pirouzpanah, Silvia Corvera, Su’an Tang, Swapan K. Das, Søren F. Schmidt, Tao Zhang, Theodore M. Nelson, Timothy E. O’Sullivan, Vissarion Efthymiou, Wenjing Wang, Yihan Tong, Yu-Hua Tseng, Susanne Mandrup, Evan D. Rosen\",\"doi\":\"10.1038/s42255-025-01296-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Adipose tissue (AT) is a complex connective tissue with a high relative proportion of adipocytes, which are specialized cells with the ability to store lipids in large droplets. AT is found in multiple discrete depots throughout the body, where it serves as the primary repository for excess calories. In addition, AT has an important role in functions as diverse as insulation, immunity and regulation of metabolic homeostasis. The Human Cell Atlas Adipose Bionetwork was established to support the generation of single-cell atlases of human AT as well as the development of unified approaches and consensus for cell annotation. Here, we provide a first roadmap from this bionetwork, including our suggested cell annotations for humans and mice, with the aim of describing the state of the field and providing guidelines for the production, analysis, interpretation and presentation of AT single-cell data.</p>\",\"PeriodicalId\":19038,\"journal\":{\"name\":\"Nature metabolism\",\"volume\":\"12 1\",\"pages\":\"\"},\"PeriodicalIF\":18.9000,\"publicationDate\":\"2025-05-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature metabolism\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1038/s42255-025-01296-9\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature metabolism","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1038/s42255-025-01296-9","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0

摘要

脂肪组织(AT)是一种复杂的结缔组织,具有较高比例的脂肪细胞,脂肪细胞是能够将脂质储存在大液滴中的特化细胞。AT存在于身体的多个不同部位,在那里它是多余卡路里的主要储存库。此外,AT还具有多种功能,如绝缘、免疫和调节代谢稳态等。人类细胞图谱脂肪生物网络的建立是为了支持人类AT单细胞图谱的生成以及细胞注释的统一方法和共识的发展。在这里,我们提供了这个生物网络的第一个路线图,包括我们建议的人类和小鼠细胞注释,目的是描述该领域的状态,并为AT单细胞数据的生产、分析、解释和呈现提供指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Towards a consensus atlas of human and mouse adipose tissue at single-cell resolution

Towards a consensus atlas of human and mouse adipose tissue at single-cell resolution

Adipose tissue (AT) is a complex connective tissue with a high relative proportion of adipocytes, which are specialized cells with the ability to store lipids in large droplets. AT is found in multiple discrete depots throughout the body, where it serves as the primary repository for excess calories. In addition, AT has an important role in functions as diverse as insulation, immunity and regulation of metabolic homeostasis. The Human Cell Atlas Adipose Bionetwork was established to support the generation of single-cell atlases of human AT as well as the development of unified approaches and consensus for cell annotation. Here, we provide a first roadmap from this bionetwork, including our suggested cell annotations for humans and mice, with the aim of describing the state of the field and providing guidelines for the production, analysis, interpretation and presentation of AT single-cell data.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Nature metabolism
Nature metabolism ENDOCRINOLOGY & METABOLISM-
CiteScore
27.50
自引率
2.40%
发文量
170
期刊介绍: Nature Metabolism is a peer-reviewed scientific journal that covers a broad range of topics in metabolism research. It aims to advance the understanding of metabolic and homeostatic processes at a cellular and physiological level. The journal publishes research from various fields, including fundamental cell biology, basic biomedical and translational research, and integrative physiology. It focuses on how cellular metabolism affects cellular function, the physiology and homeostasis of organs and tissues, and the regulation of organismal energy homeostasis. It also investigates the molecular pathophysiology of metabolic diseases such as diabetes and obesity, as well as their treatment. Nature Metabolism follows the standards of other Nature-branded journals, with a dedicated team of professional editors, rigorous peer-review process, high standards of copy-editing and production, swift publication, and editorial independence. The journal has a high impact factor, has a certain influence in the international area, and is deeply concerned and cited by the majority of scholars.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信