Results 171-180 of about 359
  1. Capture array-based spatialtranscriptomics methods have been widely used to resolve gene expression in tissues; however, their spatial resolution is limited by the density of the array. Here we present expansion spatialtranscriptomics to over
    Date: (2023)
    Authors: Yuhang Fan , Žaneta Andrusivová , Yunming Wu , Chew Chai ... Bo Wang
  2. Date: 2020-06-15
    Authors: Tavakoli S, Liu Y, Potts JL, Rouhanifard SH.
    Journal: Methods in enzymology
  3. Spatial transcriptomic technologies and spatially annotated single-cell RNA sequencing datasets provide unprecedented opportunities to dissect cell–cell communication (CCC). However, incorporation of the spatial information and complex biochemical
    Date: (2023)
    Authors: Zixuan Cang , Yanxiang Zhao , Axel A. Almet , Adam Stabell ... Qing Nie
  4. Date: 2020-03-30
    Authors: Jaishankar D, Cosgrove C, Deaton RJ, Le Poole IC.
    Journal: Journal of visualized experiments : JoVE
  5. Date: 2020-01-01
    Authors: Borrelli C, Moor AE.
    Journal: Methods in molecular biology (Clifton, N.J.)
  6. Unlike bulk and single-cell/single-nuclei RNA sequencing methods, spatial transcriptome sequencing (ST-seq) resolves transcriptome expression within the spatial context of intact tissue. This is achieved by integrating histology with RNA sequencing.
    Date: (2023)
    Authors: Arti M. Raghubar , Joanna Crawford , Kahli Jones , Pui Y. Lam ... Andrew J. Mallett
    Ref: Kidney Research
  7. Date: 2020-01-01
    Authors: Hilscher MM, Gyllborg D, Yokota C, Nilsson M.
    Journal: Methods in molecular biology (Clifton, N.J.)
  8. Date: 2019-07-25
    Authors: Cembrowski MS.
    Journal: Journal of neuroscience methods
  9. Date: 2019-01-01
    Authors: Holler K, Junker JP.
    Journal: Methods in molecular biology (Clifton, N.J.)
  10. Spatial omics technologies generate wealthy but highly complex datasets. Here we present Spatial Omics DataBase (SODB), a web-based platform providing both rich data resources and a suite of interactive data analytical modules. SODB currently
    Date: (2023)
    Authors: Zhiyuan Yuan , Wentao Pan , Xuan Zhao , Fangyuan Zhao ... Jianhua Yao
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