Results 21 to 30 of about 3,101 (214)

WEST is an ensemble method for spatial transcriptomics analysis

Cell Reports: Methods
Summary: Spatial transcriptomics is a groundbreaking technology, enabling simultaneous profiling of gene expression and spatial orientation within biological tissues.
Jiazhang Cai, Huimin Cheng, Shushan Wu, Wenxuan Zhong, Guo-Cheng Yuan, Ping Ma   +5 more
doaj   +1 more source

MUSTANG: Multi-sample spatial transcriptomics data analysis with cross-sample transcriptional similarity guidance

Patterns
Summary: Spatially resolved transcriptomics has revolutionized genome-scale transcriptomic profiling by providing high-resolution characterization of transcriptional patterns.
Seyednami Niyakan, Jianting Sheng, Yuliang Cao, Xiang Zhang, Zhan Xu, Ling Wu, Stephen T.C. Wong, Xiaoning Qian   +7 more
doaj   +1 more source

A Meta-Review of Spatial Transcriptomics Analysis Software

Cells
Spatial transcriptomics combines gene expression data with spatial coordinates to allow for the discovery of detailed RNA localization, study development, investigating the tumor microenvironment, and creating a tissue atlas.
Jessica Gillespie, Maciej Pietrzak, Min-Ae Song, Dongjun Chung   +3 more
doaj   +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, Yu Lin, Yan Wang, Yan Wang, Yanchun Liang, Yanchun Liang, Yang Yu, Jingyi Li, Qin Ma, Fei He, Dong Xu   +10 more
doaj   +1 more source

Automation of Spatial Transcriptomics library preparation to enable rapid and robust insights into spatial organization of tissues

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, Sami Saarenpää, Anders Jemt, Joel Gruselius, Ludvig Larsson, Ludvig Bergenstråhle, Joakim Lundeberg, Stefania Giacomello   +7 more
doaj   +1 more source

Advances in spatial transcriptomics and its applications in cancer research

Molecular Cancer
Malignant tumors have increasing morbidity and high mortality, and their occurrence and development is a complicate process. The development of sequencing technologies enabled us to gain a better understanding of the underlying genetic and molecular ...
Yang Jin, Yuanli Zuo, Gang Li, Wenrong Liu, Yitong Pan, Ting Fan, Xin Fu, Xiaojun Yao, Yong Peng   +8 more
doaj   +1 more source

Organoids in pediatric cancer research

FEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

Transferrin receptor 1‐mediated iron uptake supports thermogenic activation in human cervical‐derived adipocytes

FEBS Letters, EarlyView.
In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai, Mizuki Seo, Gyath Karadsheh, Fachrur Rizal Mahendra, Máté Á Demény, Ferenc Győry, János András Mótyán, László Fésüs, Endre Kristóf, Rini Arianti   +9 more
wiley   +1 more source

Spatially informed cell-type deconvolution for spatial transcriptomics

Nature Biotechnology, 2022
Many spatially resolved transcriptomic technologies do not have single-cell resolution but measure the average gene expression for each spot from a mixture of cells of potentially heterogeneous cell types. Here, we introduce a deconvolution method, conditional autoregressive-based deconvolution (CARD), that combines cell-type-specific expression ...
Ying Ma, Xiang Zhou
openaire   +2 more sources

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