Results 41 to 50 of about 3,101 (214)
Research progress of spatial transcriptomics and its applications in bone research
The structural and functional heterogeneity of cells in bone tissue is closely related to their spatial location. Spatial transcriptomics can simultaneously obtain location information and transcriptome changes of spatial units within tissues.
CHEN Yongliang, WANG Zuolin
doaj +1 more source
Spatially resolved transcriptomic profiling of degraded and challenging fresh frozen samples
Spatial transcriptomics relies on RNA quality, which is variable and dependent on sample handling, storage, and/or intrinsic factors. Here, authors present a genome-wide spatial gene expression profiling method called RNA Rescue Spatial Transcriptomics ...
Reza Mirzazadeh +17 more
doaj +1 more source
Glioma cells mainly express the endothelin receptor EDNRB, while EDNRA is restricted to a perivascular tumor subpopulation. Endothelin signaling reduces glioma cell proliferation while promoting migration and a proneural‐to‐mesenchymal transition associated with poor prognosis. This pathway activates Ca2+, K+, ERK, and STAT3 signalings and is regulated
Donovan Pineau +36 more
wiley +1 more source
Combining spatial transcriptomics with tissue morphology
Spatial transcriptomics has transformed our understanding of tissue architecture by preserving the spatial context of gene expression patterns. Simultaneously, advances in imaging AI have enabled extraction of morphological features describing the tissue.
Eduard Chelebian +2 more
doaj +1 more source
Spatial Transcriptomics for Tumor Heterogeneity Analysis
The molecular heterogeneity of cancer is one of the major causes of drug resistance that leads to treatment failure. Thus, better understanding the heterogeneity of cancer will contribute to more precise diagnosis and improved patient outcomes.
Qiongyu Li, Xinya Zhang, Rongqin Ke
doaj +1 more source
Interrogating the immune landscape of microsatellite stable RAS‐mutated colon cancer
COLOSSUS project RAS‐mutated MSS colon cancer study explored transcriptomics and immune cell density by immunohistochemistry (IHC), Immunoscore (IS), ISIC/TuLIS scores, mutation counts, and detected different prevalences but similar microenvironment composition across immune markers with clinical relevance for future immunotherapy combination ...
Rodrigo Dienstmann +61 more
wiley +1 more source
Spatial transcriptomics is an emerging technology that enables the profiling of gene expression in tissues while preserving spatial location information.
Tianqi Wang +6 more
doaj +1 more source
Nova-ST: Nano-patterned ultra-dense platform for spatial transcriptomics
Summary: Spatial transcriptomics workflows using barcoded capture arrays are commonly used for resolving gene expression in tissues. However, existing techniques are either limited by capture array density or are cost prohibitive for large-scale atlasing.
Suresh Poovathingal +7 more
doaj +1 more source
Pancreatic sensory neurons innervating healthy and PDAC tissue were retrogradely labeled and profiled by single‐cell RNA sequencing. Tumor‐associated innervation showed a dominant neurofilament‐positive subtype, altered mitochondrial gene signatures, and reduced non‐peptidergic neurons.
Elena Genova +14 more
wiley +1 more source
Background The development of spatial transcriptomics (ST) has enabled biologists to measure transcriptome data on an entire tissue and retain spatial information.
Junhua Yu +5 more
doaj +1 more source

