ArticleClinical and translational medicine2022
Clinical challenges of tissue preparation for spatial transcriptome.
Article in Clinical and translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
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Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Enhancing RNA Capture Efficiency in Spatial Transcriptomics: A Review of Innovative Technologies and Strategies.International journal of molecular sciences · 2025Pooled it
- Transforming subcellular spatial transcriptomics: deep learning models for cell segmentation.Nucleic acids research · 2026Review
- Single-cell identifies and validates human circulating Treg subtype/state TregSignal transduction and targeted therapy · 2026Article
- Advances in Spatial Transcriptomics in Bone.Current osteoporosis reports · 2026Review
- Dual probe ligation in situ hybridization with rolling-circle amplification for high-plex spatial transcriptomics.Biochemistry and biophysics reports · 2025Article
- Current Role and Future Frontiers of Spatial Transcriptomics in Genitourinary Cancers.Cancers · 2025Review
- Techniques and analytic workflow for spatial transcriptomics and its application to allergy and inflammation.The Journal of allergy and clinical immunology · 2025Review
- Integrative machine learning frameworks to uncover specific protein signature in neuroendocrine cervical carcinoma.BMC cancer · 2025Article
- Deciphering normal and cancer stem cell niches by spatial transcriptomics: opportunities and challenges.Genes & development · 2025Review
- Application of spatial-omics to the classification of kidney biopsy samples in transplantation.Nature reviews. Nephrology · 2024Review
- Spatial oncology: Translating contextual biology to the clinic.Cancer cell · 2024Review
- Article
- Single-cell and spatial alterations of neural cells and circuits in clinical and translational medicine.Clinical and translational medicine · 2024Article
- Twenty-Five Years of AI in Neurology: The Journey of Predictive Medicine and Biological Breakthroughs.JMIR neurotechnology · 2024Article
- Enablers and challenges of spatial omics, a melting pot of technologies.Molecular systems biology · 2023Review
- Spatial Transcriptomics: Emerging Technologies in Tissue Gene Expression Profiling.Analytical chemistry · 2023Review
- Spatial mapping of the DNA adducts in cancer.DNA repair · 2023Review
- Single-cell and spatial transcriptomics: deciphering brain complexity in health and disease.Nature reviews. Neurology · 2023Review
- Improvements and challenges of tissue preparation for spatial transcriptome analysis of skull base tumors.Heliyon · 2023Article
- Single-Cell RNA Sequencing Reveals New Basic and Translational Insights in the Cystic Fibrosis Lung.American journal of respiratory cell and molecular biology · 2023Review
Corrections and comments
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Authors and funding
16 authors.
Funding
Abstract
Spatial transcriptomics is considered as an important part of spatiotemporal molecular images to bridge molecular information with clinical images. Of those potentials and opportunities, the excellent quality of human sample preparation and handling will ensure the precise and reliable information generated from clinical spatial transcriptome. The present study aims at defining potential factors that might influence the quality of spatial transcriptomics in lung cancer, para-cancer, or normal tissues, pathological images of sections and the RNA integrity before spatial transcriptome sequencing. We categorised potential influencing factors from clinical aspects, including patient selection, pathological definition, surgical types, sample harvest, temporary preservation conditions and solutions, frozen approaches, transport and storage conditions and duration. We emphasis on the relationship between the combination of histological scores with RNA integrity number (RIN) and the unique molecular identifier (UMI), which is determines the quality of of spatial transcriptomics; however, we did not find significantly relevance between them. Our results showed that isolated times and dry conditions of sample are critical for the UMI and the quality of spatial transcriptomic samples. Thus, clinical procedures of sample preparation should be furthermore optimised and standardised as new standards of operation performance for clinical spatial transcriptome. Our data suggested that the temporary preservation time and condition of samples at operation room should be within 30 min and in 'dry' status. The direct cryo-preservation within OCT media for human lung sample is recommended. Thus, we believe that clinical spatial transcriptome will be a decisive approach and bridge in the development of spatiotemporal molecular images and provide new insights for understanding molecular mechanisms of diseases at multi-orientations.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.