Cargando…

Spatial Transcriptomic Analysis Reveals Associations between Genes and Cellular Topology in Breast and Prostate Cancers

SIMPLE SUMMARY: Tissues consist of various cell types in complex spatial arrangements. These tissues require signaling between the cells and structural proteins to maintain their organization. Spatial arrangements or the organization of cells in tissue can be readily studied via imaging analysis of...

Descripción completa

Detalles Bibliográficos
Autores principales:	Alsaleh, Lujain, Li, Chen, Couetil, Justin L., Ye, Ze, Huang, Kun, Zhang, Jie, Chen, Chao, Johnson, Travis S.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9562681/ https://www.ncbi.nlm.nih.gov/pubmed/36230778 http://dx.doi.org/10.3390/cancers14194856

Ejemplares similares

268 DEGAS: Deep transfer learning reveals cancer-like transcriptional signatures in histologically normal prostate tissue and adjacent-normal tissues in pancreatic cancer
por: Couetil, Justin, et al.
Publicado: (2023)

SPCS: a spatial and pattern combined smoothing method for spatial transcriptomic expression
por: Liu, Yusong, et al.
Publicado: (2022)

Spatial transcriptomics reveal topological immune landscapes of Asian head and neck angiosarcoma
por: Loh, Jui Wan, et al.
Publicado: (2023)

Single-cell and spatial transcriptome analysis reveals the cellular heterogeneity of liver metastatic colorectal cancer
por: Wang, Fei, et al.
Publicado: (2023)

Spatial maps of prostate cancer transcriptomes reveal an unexplored landscape of heterogeneity
por: Berglund, Emelie, et al.
Publicado: (2018)

Combined single-cell and spatial transcriptomics reveals the molecular, cellular and spatial bone marrow niche organization
por: Baccin, Chiara, et al.
Publicado: (2020)

Combinatorial analyses reveal cellular composition changes have different impacts on transcriptomic changes of cell type specific genes in Alzheimer’s Disease
por: Johnson, Travis S., et al.
Publicado: (2021)

Topological Methods for Visualization and Analysis of High Dimensional Single-Cell RNA Sequencing Data
por: Wang, Tongxin, et al.
Publicado: (2019)

Spatial transcriptomics reveals asymmetric cellular responses to injury in the regenerating spiny mouse (Acomys) ear
por: van Beijnum, Henriëtte, et al.
Publicado: (2023)

A single-nucleus and spatial transcriptomic atlas of the COVID-19 liver reveals topological, functional, and regenerative organ disruption in patients
por: Pita-Juarez, Yered, et al.
Publicado: (2022)

Predicting melanoma survival and metastasis with interpretable histopathological features and machine learning models
por: Couetil, Justin, et al.
Publicado: (2023)

A comprehensive benchmarking with practical guidelines for cellular deconvolution of spatial transcriptomics
por: Li, Haoyang, et al.
Publicado: (2023)

High-resolution mapping reveals topologically distinct cellular pools of phosphatidylserine
por: Fairn, Gregory D., et al.
Publicado: (2011)

Revealing topology with transformation optics
por: Lu, Lizhen, et al.
Publicado: (2021)

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

Single cell spatial analysis reveals the topology of immunomodulatory purinergic signaling in glioblastoma
por: Coy, Shannon, et al.
Publicado: (2022)

Spatial transcriptomic analysis of virtual prostate biopsy reveals confounding effect of tissue heterogeneity on genomic signatures
por: Figiel, Sandy, et al.
Publicado: (2023)

Spatial mapping of single cells in the Drosophila embryo from transcriptomic data based on topological consistency
por: Zand, Maryam, et al.
Publicado: (2021)

Integrating single-cell RNA sequencing with spatial transcriptomics reveals immune landscape for interstitial cystitis
por: Peng, Liao, 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)

Spatial transcriptomics reveals gene expression characteristics in invasive micropapillary carcinoma of the breast
por: Lv, Jianke, et al.
Publicado: (2021)

The stromal genome heterogeneity between breast and prostate tumors revealed by a comparative transcriptomic analysis
por: He, Kan, et al.
Publicado: (2015)

Single-cell topological RNA-Seq analysis reveals insights into cellular differentiation and development
por: Rizvi, Abbas H., et al.
Publicado: (2017)

Circuit topology analysis of cellular genome reveals signature motifs, conformational heterogeneity, and scaling
por: Scalvini, Barbara, et al.
Publicado: (2022)

stVAE deconvolves cell-type composition in large-scale cellular resolution spatial transcriptomics
por: Li, Chen, et al.
Publicado: (2023)

Integrated single‐cell and spatial transcriptomic profiling reveals higher intratumour heterogeneity and epithelial–fibroblast interactions in recurrent bladder cancer
por: Shi, Zhen‐Duo, et al.
Publicado: (2023)

A Cellular Resolution Spatial Transcriptomic Landscape of the Medial Structures in Postnatal Mouse Brain
por: Cheng, Mengnan, et al.
Publicado: (2022)

Single‐cell and spatial transcriptomics reveal the fibrosis‐related immune landscape of biliary atresia
por: Ye, Chunjing, et al.
Publicado: (2022)

BERMUDA: a novel deep transfer learning method for single-cell RNA sequencing batch correction reveals hidden high-resolution cellular subtypes
por: Wang, Tongxin, et al.
Publicado: (2019)

Association of imputed prostate cancer transcriptome with disease risk reveals novel mechanisms
por: Emami, Nima C., et al.
Publicado: (2019)

Single-cell Transcriptomic Analysis Reveals the Cellular Heterogeneity of Mesenchymal Stem Cells
por: Zhang, Chen, et al.
Publicado: (2022)

Integration analysis of single-cell and spatial transcriptomics reveal the cellular heterogeneity landscape in glioblastoma and establish a polygenic risk model
por: Liu, Yaxuan, et al.
Publicado: (2023)

Spatial transcriptomics delineates molecular features and cellular plasticity in lung adenocarcinoma progression
por: Wang, Yan, et al.
Publicado: (2023)

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

Morphological Features Extracted by AI Associated with Spatial Transcriptomics in Prostate Cancer
por: Chelebian, Eduard, et al.
Publicado: (2021)

Unravelling Prostate Cancer Heterogeneity Using Spatial Approaches to Lipidomics and Transcriptomics
por: Mutuku, Shadrack M., et al.
Publicado: (2022)

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

Characterizing spatial gene expression heterogeneity in spatially resolved single-cell transcriptomic data with nonuniform cellular densities
por: Miller, Brendan F., et al.
Publicado: (2021)

Combined Single‐Cell and Spatial Transcriptomics Reveal the Metabolic Evolvement of Breast Cancer during Early Dissemination
por: Liu, Yi‐Ming, et al.
Publicado: (2023)

Spatially resolved transcriptomics revealed local invasion-related genes in colorectal cancer
por: Liu, Hong-Tao, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_oj5fa2mh56ehoc4gecavl5ra40