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Interrogating the transcriptome

Trends in Biotechnology, 2004
The human genome sequence and that of several model organisms have provided a remarkable view of the fundamental genetic and evolutionary templates that govern the characteristics of living organisms. Yet the real effectors of phenotype are important downstream informational elements represented first in the transcriptome and then in the proteome. This
Pierre Le Ber   +4 more
openaire   +3 more sources

Transcriptome Analysis

2011
Transcriptome analysis technologies are important systems-biology methods for the investigation and optimization of mammalian cell cultures concerning with regard to growth rates and productivity. For the production of recombinant proteins, knowledge of the expression conditions of the influencing genes is a major issue in the improvement of cell lines
Frank, Stahl   +7 more
openaire   +2 more sources

Transcriptomic Analyses of Phytoplasmas

2018
Transcriptomic analyses addressed to study phytoplasma gene expression may present few difficulties due to the uncultivable nature of these intracellular, obligate pathogens. While RNA extraction from insect vectors does not imply any particular adaptation of the protocols used in most commercial kits, RNA isolation from phytoplasma-infected plants can
Pacifico D, Abba S, Palmano S
openaire   +4 more sources

Cell2location maps fine-grained cell types in spatial transcriptomics

Nature Biotechnology, 2022
Vitalii Kleshchevnikov   +19 more
semanticscholar   +1 more source

Transcriptomics on Small Samples

2012
Interrogating the cell-specific transcriptome forms an important component of understanding the role that specific cells play in assisting a plant to overcome abiotic stress. Among the challenges arising when extracting RNA from individual plant cells are: the isolation of pure cell populations; the small yield of material when isolating specific cell ...
Roy, S.   +4 more
openaire   +5 more sources

Benchmarking spatial and single-cell transcriptomics integration methods for transcript distribution prediction and cell type deconvolution

Nature Methods, 2022
Bin Li   +16 more
semanticscholar   +1 more source

Mechanisms of lncRNA biogenesis as revealed by nascent transcriptomics

Nature reviews. Molecular cell biology, 2022
Takayuki Nojima, N. Proudfoot
semanticscholar   +1 more source

The expanding vistas of spatial transcriptomics

Nature Biotechnology, 2022
L. Tian, Fei Chen, Evan Z. Macosko
semanticscholar   +1 more source

Visualization and analysis of gene expression in tissue sections by spatial transcriptomics

Science, 2016
Patrik L. Ståhl   +20 more
semanticscholar   +1 more source

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