Christopher H. Bohrer

Cell size-dependent mRNA transcription drives proteome remodeling

The paper shows that cell size affects mRNA concentrations, driving proteome changes through transcriptional regulation.

Highly Constrained Kinetic Models for Single-Cell Gene Expression Analysis

This study introduces a kinetic model that integrates scRNA-seq and imaging data to simulate gene transcription dynamics and identifies conserved quantities and improved models for transcription factor mechanisms.

A methodology to reduce the localization error in multi-loci microscopy provides new insights into enhancer biology

The paper introduces LEAR, a post-processing method to reduce localization errors in multi-loci microscopy, revealing new insights into enhancer biology and chromatin organization.

Chromosomal Topological Domain Formation Modulates Transcription and the Coupling of Neighboring Genes in Escherichia coli

This study shows that chromosomal topological domains in E. coli repress transcription, reduce orientation effects, and modulate gene coupling through supercoiling changes.

Light-dependent modulation of protein localization and function in living bacteria cells

This study shows that the CRY2/CIB1 system can be used to precisely control protein localization in E. coli, enabling manipulation of cellular functions like cytokinesis.

HiTIPS: High-Throughput Image Processing Software for the Study of Nuclear Architecture and Gene Expression

HiTIPS provides a flexible, open-source platform for high-throughput image analysis in cell biology, supporting customization and integration of new algorithms for tasks like segmentation, tracking, and quantification.

RNA polymerase organizes into distinct spatial clusters independent of ribosomal RNA transcription in E. coli

This study shows that RNA polymerase forms distinct spatial clusters in E. coli independent of rRNA transcription, with cluster organization influenced by nucleoid structure.

Improved single-molecule localization precision in astigmatism-based 3D superresolution imaging using weighted likelihood estimation

The paper improves 3D superresolution imaging by using weighted likelihood estimation to enhance z-axis localization precision, especially when PSFs deviate from standard models.