MUSTANG: Multi-sample spatial transcriptomics data analysis with cross-sample transcriptional similarity guidance.
| Autor: | Niyakan S; Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA., Sheng J; Department of System Medicine and Bioengineering, Houston Methodist Neal Cancer Center, Houston, TX 77030, USA., Cao Y; Department of System Medicine and Bioengineering, Houston Methodist Neal Cancer Center, Houston, TX 77030, USA., Zhang X; Lester and Sue Smith Breast Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA., Xu Z; Lester and Sue Smith Breast Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA., Wu L; Lester and Sue Smith Breast Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA., Wong STC; Department of System Medicine and Bioengineering, Houston Methodist Neal Cancer Center, Houston, TX 77030, USA., Qian X; Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA. |
|---|---|
| Jazyk: | angličtina |
| Zdroj: | Patterns (New York, N.Y.) [Patterns (N Y)] 2024 May 02; Vol. 5 (5), pp. 100986. Date of Electronic Publication: 2024 May 02 (Print Publication: 2024). |
| DOI: | 10.1016/j.patter.2024.100986 |
| Abstrakt: | Spatially resolved transcriptomics has revolutionized genome-scale transcriptomic profiling by providing high-resolution characterization of transcriptional patterns. Here, we present our spatial transcriptomics analysis framework, MUSTANG (MUlti-sample Spatial Transcriptomics data ANalysis with cross-sample transcriptional similarity Guidance), which is capable of performing multi-sample spatial transcriptomics spot cellular deconvolution by allowing both cross-sample expression-based similarity information sharing as well as spatial correlation in gene expression patterns within samples. Experiments on a semi-synthetic spatial transcriptomics dataset and three real-world spatial transcriptomics datasets demonstrate the effectiveness of MUSTANG in revealing biological insights inherent in the cellular characterization of tissue samples under study. Competing Interests: The authors declare no competing interests. (© 2024 The Author(s).) |
| Databáze: | MEDLINE |
| Externí odkaz: |
|