Faculty, Staff and Student Publications
Inferring Super-Resolution Tissue Architecture by Integrating Spatial Transcriptomics With Histology
Publication Date
9-1-2024
Journal
Cancer Cell
DOI
10.1016/j.ccell.2024.09.014
PMID
39423816
PMCID
10.1016/j.ccell.2024.09.014
PubMedCentral® Posted Date
10-17-2025
PubMedCentral® Full Text Version
Author MSS
Abstract
Cancer neuroscience is a rapidly growing multidisciplinary field that conceptualizes tumors as tissues fully integrated into the nervous system. Recognizing the complexity and challenges in this field is of fundamental importance to achieving the goal of translational impact for cancer patients. Our commentary highlights key scientific priorities, optimal training settings, and roadblocks to translating scientific findings to the clinic in this emerging field, aiming to formulate a transformative and cohesive path forward.
Keywords
Transcriptome, Gene Expression Profiling, Humans, Algorithms, Image Processing, Computer-Assisted, Single-Cell Analysis, Animals
Published Open-Access
yes
Recommended Citation
Zhang, Daiwei; Schroeder, Amelia; Yan, Hanying; et al., "Inferring Super-Resolution Tissue Architecture by Integrating Spatial Transcriptomics With Histology" (2024). Faculty, Staff and Student Publications. 3367.
https://digitalcommons.library.tmc.edu/uthgsbs_docs/3367
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