# Characterization of Transcription Coupled Repair Across the E. coli Genome

> **NIH NIH F31** · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · 2020 · $45,520

## Abstract

Project Summary
The understanding of basic DNA repair mechanisms is crucial, as altered regulation of these systems are
observed in cancerous cells and also allow for antibiotic resistance in prokaryotes. In E. coli, two major
mechanisms of transcription-coupled nucleotide excision repair (TCR) are responsible for removing bulky
lesions in DNA that transcribing RNA polymerase encounters- the Mfd-mediated “forward translocation” model
and the UvrD-mediated “backtracking” model. In this project I will use a genome-wide assay called XR-Seq to
further understand E. coli TCR across the genome by determining locations of the genome repaired by each
pathway. Further, I will perform NET-Seq in -/+ UV conditions to correlate transcription of both the sense and
antisense nascent transcripts to TCR. Together, these studies will provide important information concerning
the two known TCR pathways in E. coli by helping us understand how they may work together or separately
across the genome and how their absence impacts genome integrity. Ultimately, this work will contribute to
further defining the mechanisms of important repair processes that occur in prokaryotes and provide a
guideline for future genome-wide studies of other important DNA repair processes.

## Key facts

- **NIH application ID:** 9995375
- **Project number:** 5F31GM131516-02
- **Recipient organization:** NEW YORK UNIVERSITY SCHOOL OF MEDICINE
- **Principal Investigator:** Britney Martinez
- **Activity code:** F31 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $45,520
- **Award type:** 5
- **Project period:** 2019-08-01 → 2021-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9995375

## Citation

> US National Institutes of Health, RePORTER application 9995375, Characterization of Transcription Coupled Repair Across the E. coli Genome (5F31GM131516-02). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/9995375. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*