Literature DB >> 32770205

Spatial molecular profiling: platforms, applications and analysis tools.

Minzhe Zhang1, Thomas Sheffield1, Xiaowei Zhan1, Qiwei Li2, Donghan M Yang1, Yunguan Wang1, Shidan Wang1, Yang Xie3, Tao Wang1, Guanghua Xiao1.   

Abstract

Molecular profiling technologies, such as genome sequencing and proteomics, have transformed biomedical research, but most such technologies require tissue dissociation, which leads to loss of tissue morphology and spatial information. Recent developments in spatial molecular profiling technologies have enabled the comprehensive molecular characterization of cells while keeping their spatial and morphological contexts intact. Molecular profiling data generate deep characterizations of the genetic, transcriptional and proteomic events of cells, while tissue images capture the spatial locations, organizations and interactions of the cells together with their morphology features. These data, together with cell and tissue imaging data, provide unprecedented opportunities to study tissue heterogeneity and cell spatial organization. This review aims to provide an overview of these recent developments in spatial molecular profiling technologies and the corresponding computational methods developed for analyzing such data.
© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Keywords:  FISH; cell morphology; mass spectrometry; scRNA-seq; spatial molecular profiling; spatial organization; spatial transcriptomic data; super-resolution microscopy

Year:  2021        PMID: 32770205     DOI: 10.1093/bib/bbaa145

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  8 in total

Review 1.  Pediatric Sarcomas: The Next Generation of Molecular Studies.

Authors:  Petros Giannikopoulos; David M Parham
Journal:  Cancers (Basel)       Date:  2022-05-20       Impact factor: 6.575

Review 2.  Medial Arterial Calcification: JACC State-of-the-Art Review.

Authors:  Peter Lanzer; Fadil M Hannan; Jan D Lanzer; Jan Janzen; Paolo Raggi; Dominic Furniss; Mirjam Schuchardt; Rajesh Thakker; Pak-Wing Fok; Julio Saez-Rodriguez; Angel Millan; Yu Sato; Roberto Ferraresi; Renu Virmani; Cynthia St Hilaire
Journal:  J Am Coll Cardiol       Date:  2021-09-14       Impact factor: 27.203

3.  Bayesian Modeling of Spatial Molecular Profiling Data via Gaussian Process.

Authors:  Qiwei Li; Minzhe Zhang; Yang Xie; Guanghua Xiao
Journal:  Bioinformatics       Date:  2021-06-19       Impact factor: 6.931

4.  Spatial Transcriptome Uncovers the Mouse Lung Architectures and Functions.

Authors:  Yujia Jiang; Shijie Hao; Xi Chen; Mengnan Cheng; Jiangshan Xu; Chenghao Li; Huiwen Zheng; Giacomo Volpe; Ao Chen; Sha Liao; Chuanyu Liu; Longqi Liu; Xun Xu
Journal:  Front Genet       Date:  2022-03-09       Impact factor: 4.599

5.  Mixed Effects Machine Learning Models for Colon Cancer Metastasis Prediction using Spatially Localized Immuno-Oncology Markers.

Authors:  Joshua J Levy; Carly A Bobak; Mustafa Nasir-Moin; Eren M Veziroglu; Scott M Palisoul; Rachael E Barney; Lucas A Salas; Brock C Christensen; Gregory J Tsongalis; Louis J Vaickus
Journal:  Pac Symp Biocomput       Date:  2022

6.  Knowledge-graph-based cell-cell communication inference for spatially resolved transcriptomic data with SpaTalk.

Authors:  Xin Shao; Chengyu Li; Haihong Yang; Xiaoyan Lu; Jie Liao; Jingyang Qian; Kai Wang; Junyun Cheng; Penghui Yang; Huajun Chen; Xiao Xu; Xiaohui Fan
Journal:  Nat Commun       Date:  2022-07-30       Impact factor: 17.694

Review 7.  Discovering Immune-Mediated Mechanisms of Gastric Carcinogenesis Through Single-Cell RNA Sequencing.

Authors:  Stella G Hoft; Michelle D Pherson; Richard J DiPaolo
Journal:  Front Immunol       Date:  2022-06-10       Impact factor: 8.786

Review 8.  Computational solutions for spatial transcriptomics.

Authors:  Iivari Kleino; Paulina Frolovaitė; Tomi Suomi; Laura L Elo
Journal:  Comput Struct Biotechnol J       Date:  2022-09-01       Impact factor: 6.155

  8 in total

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