STAIG: Spatial transcriptomics analysis via image-aided graph contrastive learning for domain exploration and alignment-free integration
Author
Abstract
Suggested Citation
DOI: 10.1038/s41467-025-56276-0
Download full text from publisher
References listed on IDEAS
- Xiangjie Li & Kui Wang & Yafei Lyu & Huize Pan & Jingxiao Zhang & Dwight Stambolian & Katalin Susztak & Muredach P. Reilly & Gang Hu & Mingyao Li, 2020. "Deep learning enables accurate clustering with batch effect removal in single-cell RNA-seq analysis," Nature Communications, Nature, vol. 11(1), pages 1-14, December.
- Ed S. Lein & Michael J. Hawrylycz & Nancy Ao & Mikael Ayres & Amy Bensinger & Amy Bernard & Andrew F. Boe & Mark S. Boguski & Kevin S. Brockway & Emi J. Byrnes & Lin Chen & Li Chen & Tsuey-Ming Chen &, 2007. "Genome-wide atlas of gene expression in the adult mouse brain," Nature, Nature, vol. 445(7124), pages 168-176, January.
- Kangning Dong & Shihua Zhang, 2022. "Deciphering spatial domains from spatially resolved transcriptomics with an adaptive graph attention auto-encoder," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
- Duy Pham & Xiao Tan & Brad Balderson & Jun Xu & Laura F. Grice & Sohye Yoon & Emily F. Willis & Minh Tran & Pui Yeng Lam & Arti Raghubar & Priyakshi Kalita-de Croft & Sunil Lakhani & Jana Vukovic & Ma, 2023. "Robust mapping of spatiotemporal trajectories and cell–cell interactions in healthy and diseased tissues," Nature Communications, Nature, vol. 14(1), pages 1-25, December.
- Yahui Long & Kok Siong Ang & Mengwei Li & Kian Long Kelvin Chong & Raman Sethi & Chengwei Zhong & Hang Xu & Zhiwei Ong & Karishma Sachaphibulkij & Ao Chen & Li Zeng & Huazhu Fu & Min Wu & Lina Hsiu Ki, 2023. "Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
- Saihong Jin & Jeehee Kim & Torsten Willert & Tanja Klein-Rodewald & Mario Garcia-Dominguez & Matias Mosqueira & Rainer Fink & Irene Esposito & Lorenz C. Hofbauer & Patrick Charnay & Matthias Kieslinge, 2014. "Ebf factors and MyoD cooperate to regulate muscle relaxation via Atp2a1," Nature Communications, Nature, vol. 5(1), pages 1-16, September.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Kaichen Xu & Yan Lu & Suyang Hou & Kainan Liu & Yihang Du & Mengqian Huang & Hao Feng & Hao Wu & Xiaobo Sun, 2024. "Detecting anomalous anatomic regions in spatial transcriptomics with STANDS," Nature Communications, Nature, vol. 15(1), pages 1-23, December.
- Xiaomeng Wan & Jiashun Xiao & Sindy Sing Ting Tam & Mingxuan Cai & Ryohichi Sugimura & Yang Wang & Xiang Wan & Zhixiang Lin & Angela Ruohao Wu & Can Yang, 2023. "Integrating spatial and single-cell transcriptomics data using deep generative models with SpatialScope," Nature Communications, Nature, vol. 14(1), pages 1-22, December.
- Tianci Song & Charles Broadbent & Rui Kuang, 2023. "GNTD: reconstructing spatial transcriptomes with graph-guided neural tensor decomposition informed by spatial and functional relations," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
- Rongbo Shen & Lin Liu & Zihan Wu & Ying Zhang & Zhiyuan Yuan & Junfu Guo & Fan Yang & Chao Zhang & Bichao Chen & Wanwan Feng & Chao Liu & Jing Guo & Guozhen Fan & Yong Zhang & Yuxiang Li & Xun Xu & Ji, 2022. "Spatial-ID: a cell typing method for spatially resolved transcriptomics via transfer learning and spatial embedding," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
- Duy Pham & Xiao Tan & Brad Balderson & Jun Xu & Laura F. Grice & Sohye Yoon & Emily F. Willis & Minh Tran & Pui Yeng Lam & Arti Raghubar & Priyakshi Kalita-de Croft & Sunil Lakhani & Jana Vukovic & Ma, 2023. "Robust mapping of spatiotemporal trajectories and cell–cell interactions in healthy and diseased tissues," Nature Communications, Nature, vol. 14(1), pages 1-25, December.
- Peng Zhang & Chaofei Gao & Zhuoyu Zhang & Zhiyuan Yuan & Qian Zhang & Ping Zhang & Shiyu Du & Weixun Zhou & Yan Li & Shao Li, 2025. "Systematic inference of super-resolution cell spatial profiles from histology images," Nature Communications, Nature, vol. 16(1), pages 1-21, December.
- Jingyang Qian & Xin Shao & Hudong Bao & Yin Fang & Wenbo Guo & Chengyu Li & Anyao Li & Hua Hua & Xiaohui Fan, 2025. "Identification and characterization of cell niches in tissue from spatial omics data at single-cell resolution," Nature Communications, Nature, vol. 16(1), pages 1-21, December.
- Benjamin L. Walker & Qing Nie, 2023. "NeST: nested hierarchical structure identification in spatial transcriptomic data," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
- Biao Zhang & Shuqin Zhang & Shihua Zhang, 2024. "Whole brain alignment of spatial transcriptomics between humans and mice with BrainAlign," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
- Shijia Zhu & Naoto Kubota & Shidan Wang & Tao Wang & Guanghua Xiao & Yujin Hoshida, 2024. "STIE: Single-cell level deconvolution, convolution, and clustering in in situ capturing-based spatial transcriptomics," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
- Chen-Rui Xia & Zhi-Jie Cao & Xin-Ming Tu & Ge Gao, 2023. "Spatial-linked alignment tool (SLAT) for aligning heterogenous slices," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
- Jingyang Qian & Hudong Bao & Xin Shao & Yin Fang & Jie Liao & Zhuo Chen & Chengyu Li & Wenbo Guo & Yining Hu & Anyao Li & Yue Yao & Xiaohui Fan & Yiyu Cheng, 2024. "Simulating multiple variability in spatially resolved transcriptomics with scCube," Nature Communications, Nature, vol. 15(1), pages 1-21, December.
- Chunman Zuo & Junjie Xia & Luonan Chen, 2024. "Dissecting tumor microenvironment from spatially resolved transcriptomics data by heterogeneous graph learning," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
- S. Vickovic & B. Lötstedt & J. Klughammer & S. Mages & Å Segerstolpe & O. Rozenblatt-Rosen & A. Regev, 2022. "SM-Omics is an automated platform for high-throughput spatial multi-omics," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
- Yuchen Liang & Guowei Shi & Runlin Cai & Yuchen Yuan & Ziying Xie & Long Yu & Yingjian Huang & Qian Shi & Lizhe Wang & Jun Li & Zhonghui Tang, 2024. "PROST: quantitative identification of spatially variable genes and domain detection in spatial transcriptomics," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
- Yuyao Liu & Zhen Li & Xiaoyang Chen & Xuejian Cui & Zijing Gao & Rui Jiang, 2025. "INSTINCT: Multi-sample integration of spatial chromatin accessibility sequencing data via stochastic domain translation," Nature Communications, Nature, vol. 16(1), pages 1-23, December.
- Léa J. Becker & Clémentine Fillinger & Robin Waegaert & Sarah H. Journée & Pierre Hener & Beyza Ayazgok & Muris Humo & Meltem Karatas & Maxime Thouaye & Mithil Gaikwad & Laetitia Degiorgis & Marie des, 2023. "The basolateral amygdala-anterior cingulate pathway contributes to depression-like behaviors and comorbidity with chronic pain behaviors in male mice," Nature Communications, Nature, vol. 14(1), pages 1-23, December.
- Guanshen Cui & Kangning Dong & Jia-Yi Zhou & Shang Li & Ying Wu & Qinghua Han & Bofei Yao & Qunlun Shen & Yong-Liang Zhao & Ying Yang & Jun Cai & Shihua Zhang & Yun-Gui Yang, 2023. "Spatiotemporal transcriptomic atlas reveals the dynamic characteristics and key regulators of planarian regeneration," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
- Yu Feng & Wenjuan Ma & Yupeng Zang & Yanying Guo & Young Li & Yixuan Zhang & Xuan Dong & Yi Liu & Xiaojuan Zhan & Zhizhong Pan & Mei Luo & Miaoqing Wu & Ao Chen & Da Kang & Gong Chen & Longqi Liu & Ji, 2024. "Spatially organized tumor-stroma boundary determines the efficacy of immunotherapy in colorectal cancer patients," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
- Tingting Bo & Jie Li & Ganlu Hu & Ge Zhang & Wei Wang & Qian Lv & Shaoling Zhao & Junjie Ma & Meng Qin & Xiaohui Yao & Meiyun Wang & Guang-Zhong Wang & Zheng Wang, 2023. "Brain-wide and cell-specific transcriptomic insights into MRI-derived cortical morphology in macaque monkeys," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-56276-0. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.