Results 41 to 50 of about 2,380,938 (249)
Genome BiologyAdvances in spatial transcriptomics provide an unprecedented opportunity to reveal the structure and function of biology systems. However, current algorithms fail to address the heterogeneity and interpretability of spatial transcriptomics data. Here, we
Yu Wang, Zaiyi Liu, Xiaoke Ma
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Enhancing Super-Resolution Spatial Transcriptomics Data by Transfer Learning. [PDF]
Adv Sci (Weinh)SpotZoomer employs a transfer‐learning‐based strategy to enhance the resolution of Visium data by leveraging available high‐resolution priors. The resulting super‐resolved maps enable sharper delineation of cell boundaries and more precise inference of cell–cell communication patterns that would otherwise remain obscured at native resolution.
Li X, Zhang L, Min W.
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Liver organoids: modelling complexity in homeostasis and disease
FEBS Letters, EarlyView.Studying liver in vitro has been challenging because simple 2D cell cultures fail to capture liver's cellular and architectural complexity. To bridge this gap, scientists increasingly use organoids, 3D liver models which better mimic liver composition and function. This review examines recent advances in liver organoid complexity and realism, discusses
Anna M. Dowbaj, Meritxell Huch
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Inflammation and RegenerationSpatial transcriptomics is a cutting-edge technology that analyzes gene expression at the cellular level within tissues while integrating spatial location information.
Atsuko Tsujii Miyamoto +3 more
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Imaging-transcriptomics: python package
, 2021 First release of the imaging transcriptomics ...
Daniel Martins, Alessio Giacomel
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Epigenetic reprogramming of lineage switching in cancer
FEBS Letters, EarlyView.Cancer cells rarely commit to a single identity. Epigenetic mechanisms and tumor microenvironment cues push epithelial cells toward flexible, hybrid states that can shift into mesenchymal, neuroendocrine, or stem‐like fates, driving metastasis, drug resistance, and tumor heterogeneity. Targeting the epigenetic regulators behind these transitions, using
Ezgi Boyvatlı +4 more
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Advances in spatial transcriptomics and its application in the musculoskeletal system
Bone ResearchWhile bulk RNA sequencing and single-cell RNA sequencing have shed light on cellular heterogeneity and potential molecular mechanisms in the musculoskeletal system in both physiological and various pathological states, the spatial localization of cells ...
Haoyu Wang +7 more
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Nature Communications, 2021 While transcriptomics have enhanced our understanding for cancer, spatial transcriptomics enable the characterisation of cellular interactions. Here, the authors integrate single cell data with spatial information for HER2 + tumours and develop tools for
Alma Andersson +12 more
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FEBS Letters, EarlyView.This review focuses on the role of autophagy and mitophagy in maintaining pancreatic β‐cell function and homeostasis. We discuss how genetic defects affecting these pathways contribute to the development of type 1, type 2, monogenic, and gestational diabetes. We further explore their potential as therapeutic targets. Created in BioRender.
Yunkyeong Lee +2 more
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Research progress of spatial transcriptomics and its applications in bone research
Kouqiang hemian waike zazhiThe 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
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