SearcharxivSearch

arXiv subjects

Michal Levo

Publications and source records attributed to Michal Levo.

2 recordsLinked to original sources

Functional analysis of a gene locus in response to non-canonical combinations of transcription factors

Transcription factor combinations determine gene locus activity and thereby cell identity. However, the precise link between concentrations of such activating transcription factors and target-gene activity is ambiguous. Here we investigate this link for the gap gene dependent activation of the even-skipped (eve) locus in the Drosophila embryo. We simultaneously measure the spatiotemporal gap gene concentrations in hemizygous and homozygous gap mutants, and link these to eve activity. Although changes in expression extend well beyond the genetically manipulated gene, nearly all expression alternations approximate the canonical combinations of activating levels in wild-type, sometimes necessitating pattern shifts. Expression levels that diverge from the wild-type repertoire still drive locus activation. Specific stripes in the homozygous mutants show partial penetrance, justifying their renown variable phenotypes. However, all eve stripes appear at highly reproducible positions, even though a broader span of gap gene expression levels activates eve. Our results suggest a correction capacity of the gap gene network and set constraints on the activity of multi-enhancer gene loci.

q-bio.MN

Gene activity fully predicts transcriptional bursting dynamics

Transcription commonly occurs in bursts, with alternating productive (ON) and quiescent (OFF) periods, governing mRNA production rates. Yet, how transcription is regulated through bursting dynamics remains unresolved. Here, we conduct real-time measurements of endogenous transcriptional bursting with single-mRNA sensitivity. Leveraging the diverse transcriptional activities in early fly embryos, we uncover stringent relationships between bursting parameters. Specifically, we find that the durations of ON and OFF periods are linked. Regardless of the developmental stage or body-axis position, gene activity levels predict individual alleles' average ON and OFF periods. Lowly transcribing alleles predominantly modulate OFF periods (burst frequency), while highly transcribing alleles primarily tune ON periods (burst size). These relationships persist even under perturbations of cis-regulatory elements or trans-factors and account for bursting dynamics measured in other species. Our results suggest a novel mechanistic constraint governing bursting dynamics rather than a modular control of distinct parameters by distinct regulatory processes.

q-bio.MN