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Making sense of your gene expression data
Gene expression analysis helps uncover how cells function, adapt, and contribute to disease. Techniques from microarray preprocessing to advanced single-cell proteomics offer complementary insights ...
This valuable study reports a spatiotemporal atlas of mouse placental development and explores the role of glycogen trophoblast cells in fetal viability. Solid data are presented to support the main ...
Single-cell analysis is reshaping drug discovery, but interpretation remains slow. AI single cell approaches may close the ...
When a gene is turned on in a cell, it creates a ripple effect along the DNA strand, changing the physical structure of the ...
The enzyme RNA polymerase (RNAP) carries out transcription, copying DNA into RNA. It's the first step in gene expression, and ...
Understanding the interplay between nutrition and molecular biology is a rapidly evolving field that combines elements of nutrigenomics and metabolomics.
Decades after researches first sequenced the human genome, scientists throughout the world are still working to understand it ...
The study of medicinal plants represents a vital interdisciplinary field at the intersection of traditional botanical knowledge and modern life sciences. In ...
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Lab automation is changing cDNA workflows
Adapting cap analysis of gene expression (CAGE) protocols to a fully automated workflow enabled preparation of 96 sequencing-ready cDNA libraries in 8 days compared to 6 weeks manually. The automated ...
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