2026-10-13T17:09:28Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33464671 2026-09-16T06:56:38Z category_24193 item_type_3 month_year_09_2026

Datasets and code supporting Jacobson 2026 Daniel Dar (24722296) Genomics and transcriptomics RNA 3 D <p dir="ltr">Elucidating the intracellular organization of bacterial transcriptomes may reveal new modes of gene regulation. Recent work reported that chromosomal gene positions determines mRNA localization within <i>Escherichia coli</i> (<i>E. coli</i>) cells, implying a widespread genome-guided organizing mechanism. Yet this interpretation contrasts with biophysical expectations based on translation and diffusion and may be confounded by nascent transcription. Here, we examine this phenomenon by analyzing intracellular spatial transcriptomics datasets spanning different methods, bacterial species, growth conditions, and thousands of genes. We confirm the presence of genome-associated localization signatures that track chromosome macrodomain dynamics across the cell cycle and establish causality by repositioning a gene at distinct chromosomal loci. Quantitative analysis, however, shows that these signatures generally involve only a minority of transcripts and are of magnitudes consistent with reported rates of nascent transcription. Moreover, genome-associated patterns preferentially occur in weakly translated and unstable mRNAs. Together, our results indicate that genome-guided localization is unlikely to be a dominant driver of transcript positioning in bacteria.</p> 2026-09-16T06:56:38Z Dataset Dataset 10.6084/m9.figshare.33464671.v1 https://figshare.com/articles/dataset/Datasets_and_code_supporting_Jacobson_2026/33464671 CC BY 4.0