Topic: Transcription

Conference
2 conferences
Seminar
1 seminar
Conference

The complex life of RNA

EMBL Heidelberg and virtual
Oct 13, 2026

This EMBO and EMBL symposium convenes leaders, postdoctoral researchers, and students to discuss current RNA biology. The programme spans transcription, RNA processing and modification, messenger-RNA export and localisation, RNA surveillance and decay, translation, non-coding RNAs, gene-expression control, and coupling among these processes.

Conference

Transcription and chromatin

EMBL Heidelberg and virtual
Aug 25, 2026

The seventeenth EMBL conference on transcriptional regulation covers polymerase function, chromatin modification and remodeling, epigenetic inheritance, genome topology, condensates, development, disease, and quantitative methods.

SeminarMolecular Biology

Measuring transcription at a single gene copy reveals hidden drivers of bacterial individuality

Ido Golding
UIUC - Urbana-Champaign IL – USA
Jul 29, 2020

Single-cell measurements of mRNA copy numbers inform our understanding of stochastic gene expression, but these measurements coarse-grain over the individual copies of the gene, where transcription and its regulation take place stochastically. We recently combined single-molecule quantification of mRNA and gene loci to measure the transcriptional activity of an endogenous gene in individual Escherichia coli bacteria. When interpreted using a theoretical model for mRNA dynamics, the single-cell data allowed us to obtain the probabilistic rates of promoter switching, transcription initiation and elongation, mRNA release and degradation. Unexpectedly, we found that gene activity can be strongly coupled to the transcriptional state of another copy of the same gene present in the cell, and to the event of gene replication during the bacterial cell cycle. These gene-copy and cell-cycle correlations demonstrate the limits of mapping whole-cell mRNA numbers to the underlying stochastic gene activity and highlight the contribution of previously hidden variables to the observed population heterogeneity.

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