Results 31 to 40 of about 71,340 (293)

Probiotic Bacillus subtilis protects against α-synuclein aggregation in C. elegans [PDF]

, 2020
How the gut microbiome affects Parkinson's disease remains unclear. Goya et al. show that the probiotic B. subtilis strain PXN21 inhibits and clears α-synuclein aggregation in a C. elegans model.
Arnaouteli, Sofia, Ball, Kathryn, Brydon, Jack, Doitsido, Maria, Goya, María Eugenia, Riquelme-Dominguez, Lourdes, Romanowski, Andrés, Sampedro-Torres-Quevedo, Cristina, Stanley-Wall, Nicola, Xue, Feng   +9 more
core   +5 more sources

Spatial transcriptomics levels up [PDF]

Nature Methods, 2019
An improved sequential fluorescence in situ hybridization approach allows one to image the expression of 10,000 genes in single cells.
openaire   +2 more sources

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

Spatial Transcriptomics: Technical Aspects of Recent Developments and Their Applications in Neuroscience and Cancer Research

Advanced Science, 2023
Spatial transcriptomics is a newly emerging field that enables high‐throughput investigation of the spatial localization of transcripts and related analyses in various applications for biological systems.
Han‐Eol Park, Song Hyun Jo, Rosalind H. Lee, Christian P. Macks, Taeyun Ku, Jihwan Park, Chung Whan Lee, Junho K. Hur, Chang Ho Sohn   +8 more
doaj   +1 more source

Gene clusters reflecting macrodomain structure respond to nucleoid perturbations

, 2010
Focusing on the DNA-bridging nucleoid proteins Fis and H-NS, and integrating several independent experimental and bioinformatic data sources, we investigate the links between chromosomal spatial organization and global transcriptional regulation.
Alberts, Ashburner, Babu, Ball, Beloin, Berger, Bertin, Bianca Sclavi, Blot, Boccard, Bradley, Bruno Bassetti, Cabrera, Cabrera, Cases, Chilcott, Cho, Cho, Cook, Cunha, Cunha, Dame, Darling, Dillon, Dorman, Duan, Eisen, Esnault, Espéli, Espéli, Fang, Gama-Castro, Grainger, Hengen, Hengge, Janga, Jeong, Jin, Junier, Kahramanoglou, Kalir, Kalir, Kelly, Keseler, Ko, Korea, Krin, Képès, Képès, Lang, Liu, Luijsterburg, Marco Cosentino Lagomarsino, Marr, Mathelier, Mercier, Moulin, Muskhelishvili, Nielsen, Oberto, Ogasawara, Oshima, Pesavento, Peter, Postow, Prigent-Combaret, Prüss, Reyes-Lamothe, Rocha, Saldana, Serres, Smith, Sonnenschein, Soutourina, Soutourina, Soutourina, Travers, Valens, Vittore F. Scolari, Vora, Wade, Wang, Wang, Wang, Warren, Weber, Wiggins, Wright, Zechiedrich, Zimmerman   +89 more
core   +2 more sources

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

The mucin-degradation strategy of Ruminococcus gnavus:The importance of intramolecular trans-sialidases [PDF]

, 2016
We previously identified and characterized an intramolecular trans-sialidase (IT-sialidase) in the gut symbiont Ruminococcus gnavus ATCC 29149, which is associated to the ability of the strain to grow on mucins. In this work we have obtained and analyzed
Crossman, Lisa C., Crost, Emmanuelle H, Henrissat, Bernard, Juge, Nathalie, Monestier, Marie, Swarbreck, David, Tailford, Louise E   +6 more
core   +2 more sources

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