Cargando…

Spatial omics technologies at multimodal and single cell/subcellular level

Spatial omics technologies enable a deeper understanding of cellular organizations and interactions within a tissue of interest. These assays can identify specific compartments or regions in a tissue with differential transcript or protein abundance, delineate their interactions, and complement othe...

Descripción completa

Detalles Bibliográficos
Autores principales:	Park, Jiwoon, Kim, Junbum, Lewy, Tyler, Rice, Charles M., Elemento, Olivier, Rendeiro, André F., Mason, Christopher E.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2022
Materias:	Review
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9746133/ https://www.ncbi.nlm.nih.gov/pubmed/36514162 http://dx.doi.org/10.1186/s13059-022-02824-6

Ejemplares similares

Persistent alveolar type 2 dysfunction and lung structural derangement in post-acute COVID-19
por: Rendeiro, André F., et al.
Publicado: (2022)

Spatial subcellular organelle networks in single cells
por: Venkatesan, Mythreye, et al.
Publicado: (2023)

A generalization of t-SNE and UMAP to single-cell multimodal omics
por: Do, Van Hoan, et al.
Publicado: (2021)

Subcellular spatially resolved gene neighborhood networks in single cells
por: Fang, Zhou, et al.
Publicado: (2023)

Subcellular spatial resolution achieved for deep-brain imaging in vivo using a minimally invasive multimode fiber
por: Vasquez-Lopez, Sebastian A., et al.
Publicado: (2018)

Nanodiamond Landmarks for Subcellular Multimodal Optical and Electron Imaging
por: Zurbuchen, Mark A., et al.
Publicado: (2013)

Clustering single-cell multimodal omics data with jrSiCKLSNMF
por: Ellis, Dorothy, et al.
Publicado: (2023)

Multi-task learning from multimodal single-cell omics with Matilda
por: Liu, Chunlei, et al.
Publicado: (2023)

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

Enablers and challenges of spatial omics, a melting pot of technologies
por: Alexandrov, Theodore, et al.
Publicado: (2023)

The spatio-temporal landscape of lung pathology in SARS-CoV-2 infection
por: Rendeiro, André Figueiredo, et al.
Publicado: (2020)

MUON: multimodal omics analysis framework
por: Bredikhin, Danila, et al.
Publicado: (2022)

Methods and applications for single-cell and spatial multi-omics
por: Vandereyken, Katy, et al.
Publicado: (2023)

Single-cell and spatially resolved omics: Advances and limitations
por: Chen, Jiaye, et al.
Publicado: (2023)

Ensemble deep learning of embeddings for clustering multimodal single-cell omics data
por: Yu, Lijia, et al.
Publicado: (2023)

Multimodal deep learning approaches for single-cell multi-omics data integration
por: Athaya, Tasbiraha, et al.
Publicado: (2023)

Single-cell spatial explorer: easy exploration of spatial and multimodal transcriptomics
por: Pont, Frédéric, et al.
Publicado: (2023)

Spatial and temporal changes in Bax subcellular localization during anoikis
por: Valentijn, Anthony J., et al.
Publicado: (2003)

The dawn of spatial omics
por: Bressan, Dario, et al.
Publicado: (2023)

Single Cell Multi-Omics Technology: Methodology and Application
por: Hu, Youjin, et al.
Publicado: (2018)

The technological landscape and applications of single-cell multi-omics
por: Baysoy, Alev, et al.
Publicado: (2023)

Comprehensive benchmarking of CITE-seq versus DOGMA-seq single cell multimodal omics
por: Xu, Zhongli, et al.
Publicado: (2022)

Clustering of single-cell multi-omics data with a multimodal deep learning method
por: Lin, Xiang, et al.
Publicado: (2022)

Mass Spectrometry Spatial-Omics on a Single Conductive Slide
por: Mezger, Stephanie T. P., et al.
Publicado: (2021)

Application of Single-Cell and Spatial Omics in Musculoskeletal Disorder Research
por: Feng, Site, et al.
Publicado: (2023)

Preface for Special Issue: Single-Cell and Spatially Resolved Omics
Publicado: (2023)

Preface for Special Issue: Single-Cell and Spatially Resolved Omics
Publicado: (2023)

ATRT-18. ELUCIDATING THE ETMR MICROENVIRONMENT USING SPATIAL MULTI-OMICS TECHNOLOGIES
por: Liapis, Evangelos, et al.
Publicado: (2023)

Saffron’omics’: The challenges of integrating omic technologies
por: Panchangam, Sameera Sastry, et al.
Publicado: (2016)

Integrated Multimodal Omics and Dietary Approaches for the Management of Neurodegeneration
por: Murai, Toshiyuki, et al.
Publicado: (2023)

Spatial Omics Imaging of Fresh-Frozen Tissue and Routine FFPE Histopathology of a Single Cancer Needle Core Biopsy: A Freezing Device and Multimodal Workflow
por: Rittel, Miriam F., et al.
Publicado: (2023)

Spatial-Live: A lightweight and versatile tool for single cell spatial-omics data visualization
por: Ye, Zhenqing, et al.
Publicado: (2023)

Subcellular glucose exposure biases the spatial distribution of insulin granules in single pancreatic beta cells
por: Terao, Kyohei, et al.
Publicado: (2014)

Single-Cell Analysis in the Omics Era: Technologies and Applications in Cancer
por: Massimino, Michele, et al.
Publicado: (2023)

New discoveries in the field of metabolism by applying single-cell and spatial omics
por: Xie, Baocai, et al.
Publicado: (2023)

Developing a systems-level understanding of gene expression
por: Elemento, Olivier
Publicado: (2007)

Pixel-level multimodal fusion deep networks for predicting subcellular organelle localization from label-free live-cell imaging
por: Wei, Zhihao, et al.
Publicado: (2022)

Metabolic and Immune Markers for Precise Monitoring of COVID-19 Severity and Treatment
por: Rendeiro, André F., et al.
Publicado: (2022)

SM-Omics is an automated platform for high-throughput spatial multi-omics
por: Vickovic, S., et al.
Publicado: (2022)

Cortical Cartography: Mapping Arealization Using Single-Cell Omics Technology
por: Nano, Patricia R., et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_uic8ku2si692r0pc4ruqc72f48