Results 31 to 40 of about 2,380,938 (249)
Spatial-transcriptomics of postnatal microglia
, 2023 Wiemann S, Potru P, Felix H, Lancelle L, Weiß-Müller J, Spittau B. Spatial-transcriptomics of postnatal microglia. Glia. 2023;71(Suppl.
Lancelle, L. +5 more
core +1 more source
Spatial transcriptomics in neuroscience
Experimental and Molecular Medicine, 2023 The brain is one of the most complex living tissue types and is composed of an exceptional diversity of cell types displaying unique functional connectivity.
Namyoung Jung, Tae-Kyung Kim
doaj +1 more source
BMC Genomics, 2020 Background Interest in studying the spatial distribution of gene expression in tissues is rapidly increasing. Spatial Transcriptomics is a novel sequencing-based technology that generates high-throughput information on the distribution, heterogeneity and
Emelie Berglund +7 more
doaj +1 more source
SPASCER: Spatial Transcriptomics Annotation at Single-Cell Resolution [PDF]
, 2023 In recent years, the explosive growth of spatial technologies has enabled the characterization of spatial heterogeneity of tissue architectures. Compared to traditional sequencing, spatial transcriptomics reserves the spatial information of each captured
Zhou, Xiaobo +7 more
core +1 more source
Diversity and complexity in neural organoids
FEBS Letters, EarlyView.Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source
Sampling and ranking spatial transcriptomics data embeddings to identify tissue architecture
Frontiers in Genetics, 2022 Spatial transcriptomics is an emerging technology widely applied to the analyses of tissue architecture and corresponding biological functions. Substantial computational methods have been developed for analyzing spatial transcriptomics data.
Yu Lin +10 more
doaj +1 more source
From mice to humans—divergent strategies for intestinal homeostasis and regeneration
FEBS Letters, EarlyView.Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa +2 more
wiley +1 more source
Spatial Transcriptomics datasets (Human Dev Lung )
, 2022 Spatial transcriptomics datasets of the human developmental ...
Sergio Marco Salas
core +1 more source
Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS Letters, EarlyView.Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential
FEBS Letters, EarlyView.Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta +3 more
wiley +1 more source