Results 31 to 40 of about 68,356 (275)

Single-cell transcriptomics : a high-resolution avenue for plant functional genomics [PDF]

, 2019
Plant function is the result of the concerted action of single cells in different tissues. Advances in RNA-seq technologies and tissue processing allow us now to capture transcriptional changes at single-cell resolution.
Finch, Jessica A., Lucas, Emma S., Ott, Sascha, Rich-Griffin, Charlotte, Schäfer, Patrick, Stechemesser, Annika   +5 more
core   +1 more source

Comparative transcriptomics of multidrug-resistant Acinetobacter baumannii in response to antibiotic treatments [PDF]

, 2018
Multidrug-resistant Acinetobacter baumannii, a major hospital-acquired pathogen, is a serious health threat and poses a great challenge to healthcare providers.
Chan, Ting-Fung, Fong-Chuen Loo, Jacky, Ip, Margaret, Lau, Terrence Chi-Kong, Lin, Xiao, Qin, Hao, Tsui, Stephen Kwok-Wing, Wai-Sing Lo, Norman, Yim, Aldrin Kay-Yuen   +8 more
core   +2 more sources

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

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

Correlation analysis of the transcriptome of growing leaves with mature leaf parameters in a maize RIL population [PDF]

, 2015
Background: To sustain the global requirements for food and renewable resources, unraveling the molecular networks underlying plant growth is becoming pivotal.
Baute, Joke, Coppens, Frederik, De Block, Jolien, Dell'Acqua, Matteo, Herman, Dorota, Inzé, Dirk, Maere, Steven, Nelissen, Hilde, Pè, Mario Enrico, Slabbinck, Bram   +9 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

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

Spatial transcriptomics coming of age [PDF]

Nature Reviews Genetics, 2019
Two new spatial transcriptomics techniques published in Nature and Science bring us an important step closer to the goal of achieving transcriptome-wide data at single-cell resolution.
openaire   +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