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Clinical challenges of tissue preparation for spatial transcriptome
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 g...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8792118/ https://www.ncbi.nlm.nih.gov/pubmed/35083877 http://dx.doi.org/10.1002/ctm2.669 |
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author | Liu, Xiaoxia Jiang, Yujia Song, Dongli Zhang, Linlin Xu, Guang Hou, Rui Zhang, Yong Chen, Jian Cheng, Yunfeng Liu, Longqi Xu, Xun Chen, Gang Wu, Duojiao Chen, Tianxiang Chen, Ao Wang, Xiangdong |
author_facet | Liu, Xiaoxia Jiang, Yujia Song, Dongli Zhang, Linlin Xu, Guang Hou, Rui Zhang, Yong Chen, Jian Cheng, Yunfeng Liu, Longqi Xu, Xun Chen, Gang Wu, Duojiao Chen, Tianxiang Chen, Ao Wang, Xiangdong |
author_sort | Liu, Xiaoxia |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8792118 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-87921182022-02-04 Clinical challenges of tissue preparation for spatial transcriptome Liu, Xiaoxia Jiang, Yujia Song, Dongli Zhang, Linlin Xu, Guang Hou, Rui Zhang, Yong Chen, Jian Cheng, Yunfeng Liu, Longqi Xu, Xun Chen, Gang Wu, Duojiao Chen, Tianxiang Chen, Ao Wang, Xiangdong Clin Transl Med Research Articles 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. John Wiley and Sons Inc. 2022-01-26 /pmc/articles/PMC8792118/ /pubmed/35083877 http://dx.doi.org/10.1002/ctm2.669 Text en © 2022 The Authors. Clinical and Translational Medicine published by John Wiley & Sons Australia, Ltd on behalf of Shanghai Institute of Clinical Bioinformatics https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Liu, Xiaoxia Jiang, Yujia Song, Dongli Zhang, Linlin Xu, Guang Hou, Rui Zhang, Yong Chen, Jian Cheng, Yunfeng Liu, Longqi Xu, Xun Chen, Gang Wu, Duojiao Chen, Tianxiang Chen, Ao Wang, Xiangdong Clinical challenges of tissue preparation for spatial transcriptome |
title | Clinical challenges of tissue preparation for spatial transcriptome |
title_full | Clinical challenges of tissue preparation for spatial transcriptome |
title_fullStr | Clinical challenges of tissue preparation for spatial transcriptome |
title_full_unstemmed | Clinical challenges of tissue preparation for spatial transcriptome |
title_short | Clinical challenges of tissue preparation for spatial transcriptome |
title_sort | clinical challenges of tissue preparation for spatial transcriptome |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8792118/ https://www.ncbi.nlm.nih.gov/pubmed/35083877 http://dx.doi.org/10.1002/ctm2.669 |
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