Cargando…

Spatial Transcriptomic Technologies

Spatial transcriptomic technologies enable measurement of expression levels of genes systematically throughout tissue space, deepening our understanding of cellular organizations and interactions within tissues as well as illuminating biological insights in neuroscience, developmental biology and a...

Descripción completa

Detalles Bibliográficos
Autores principales:	Chen, Tsai-Ying, You, Li, Hardillo, Jose Angelito U., Chien, Miao-Ping
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Review
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453065/ https://www.ncbi.nlm.nih.gov/pubmed/37626852 http://dx.doi.org/10.3390/cells12162042

Ejemplares similares

Spatially Resolved Transcriptomics Technology Facilitates Cancer Research
por: Wang, Qian, et al.
Publicado: (2023)

Surgical management of inverted papilloma; a single-center analysis of 247 patients with long follow-up
por: Bugter, Oisín, et al.
Publicado: (2017)

Re‐exploring tissue regeneration by novel spatial transcriptomics technologies
por: Wei, Xiaoyu, et al.
Publicado: (2022)

Spatial transcriptomics: Technologies, applications and experimental considerations
por: Wang, Ye, et al.
Publicado: (2023)

Spatial transcriptomics technology in cancer research
por: Yu, Qichao, et al.
Publicado: (2022)

Application of spatial transcriptome technologies to neurological diseases
por: Ya, Dongshan, et al.
Publicado: (2023)

Intratumoral Niches of B Cells and Follicular Helper T Cells, and the Absence of Regulatory T Cells, Associate with Longer Survival in Early-Stage Oral Tongue Cancer Patients
por: Phanthunane, Chumut, et al.
Publicado: (2022)

Computational Approaches and Challenges in Spatial Transcriptomics
por: Fang, Shuangsang, et al.
Publicado: (2023)

Dissecting mammalian reproduction with spatial transcriptomics
por: Zhang, Xin, et al.
Publicado: (2023)

Spatial transcriptomics in neuroscience
por: Jung, Namyoung, et al.
Publicado: (2023)

Spatial Transcriptomics: Emerging Technologies in Tissue Gene Expression Profiling
por: Robles-Remacho, Agustín, et al.
Publicado: (2023)

Mapping Cellular Coordinates through Advances in Spatial Transcriptomics Technology
por: Teves, Joji Marie, et al.
Publicado: (2020)

Spatial transcriptomics in development and disease
por: Zhou, Ran, et al.
Publicado: (2023)

Computational elucidation of spatial gene expression variation from spatially resolved transcriptomics data
por: Li, Ke, et al.
Publicado: (2021)

Clinical and translational values of spatial transcriptomics
por: Zhang, Linlin, et al.
Publicado: (2022)

Computational solutions for spatial transcriptomics
por: Kleino, Iivari, et al.
Publicado: (2022)

An introduction to spatial transcriptomics for biomedical research
por: Williams, Cameron G., et al.
Publicado: (2022)

Protocol for profiling in vitro intratumor heterogeneity using spatially annotated single-cell sequencing
por: Smit, Myrthe M., et al.
Publicado: (2023)

Spatial transcriptomics: recent developments and insights in respiratory research
por: Wang, Wen-Jia, et al.
Publicado: (2023)

Liver in infections: a single-cell and spatial transcriptomics perspective
por: Zou, Ju, et al.
Publicado: (2023)

Spatially Informed Cell Type Deconvolution for Spatial Transcriptomics
por: Ma, Ying, et al.
Publicado: (2022)

Statistical and machine learning methods for spatially resolved transcriptomics with histology
por: Hu, Jian, et al.
Publicado: (2021)

Spatial transcriptomics: new dimension of understanding biological complexity
por: Li, Zhuxia, et al.
Publicado: (2022)

SPIRAL: integrating and aligning spatially resolved transcriptomics data across different experiments, conditions, and technologies
por: Guo, Tiantian, et al.
Publicado: (2023)

Advances in spatial transcriptomics and related data analysis strategies
por: Du, Jun, et al.
Publicado: (2023)

TIST: Transcriptome and Histopathological Image Integrative Analysis for Spatial Transcriptomics
por: Shan, Yiran, et al.
Publicado: (2022)

Advances and Challenges in Spatial Transcriptomics for Developmental Biology
por: Choe, Kyongho, et al.
Publicado: (2023)

Spatially resolved transcriptomics: advances and applications
por: Duan, Honglin, et al.
Publicado: (2022)

Spatially Annotated Single Cell Sequencing for Unraveling Intratumor Heterogeneity
por: Smit, Myrthe M., et al.
Publicado: (2022)

Novel insights from spatial transcriptome analysis in solid tumors
por: Du, Jun, et al.
Publicado: (2023)

Emerging artificial intelligence applications in Spatial Transcriptomics analysis
por: Li, Yijun, et al.
Publicado: (2022)

Revealing Tissue Heterogeneity and Spatial Dark Genes from Spatially Resolved Transcriptomics by Multiview Graph Networks
por: Li, Ying, et al.
Publicado: (2023)

Advanced Temporally‐Spatially Precise Technologies for On‐Demand Neurological Disorder Intervention
por: Chen, Xiuli, et al.
Publicado: (2023)

SpatialDB: a database for spatially resolved transcriptomes
por: Fan, Zhen, et al.
Publicado: (2020)

Statistical and machine learning methods for spatially resolved transcriptomics data analysis
por: Zeng, Zexian, et al.
Publicado: (2022)

Progress in research on tumor microenvironment-based spatial omics technologies
por: XIE, FANGMEI, et al.
Publicado: (2023)

Genomics and Transcriptomics: The Powerful Technologies in Precision Medicine
por: Khodadadian, Ali, et al.
Publicado: (2020)

Laparoscopic technique of para-aortic lymph node dissection: A comparison of the different approaches to trans- versus extraperitoneal para-aortic lymphadenectomy
por: Kusunoki, Soshi, et al.
Publicado: (2017)

Detection of differentially expressed genes in spatial transcriptomics data by spatial analysis of spatial transcriptomics: A novel method based on spatial statistics
por: Qiu, Zhihua, et al.
Publicado: (2022)

Integration of Computational Analysis and Spatial Transcriptomics in Single-cell Studies
por: Wang, Ran, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_bs59u021gbjbdvrusl56aparht