Evidence map›Paper›PMID 42851763›Full record

ArticleFrontiers in microbiology2026

Regulatory time-kill sequencing maps antibiotic-specific transcriptional control of

Alden Filko, Yichao Han, Fuzhong Zhang

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Alden FilkoDepartment of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, Saint Louis, MO, United States.
Yichao HanDepartment of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, Saint Louis, MO, United States.
Fuzhong ZhangDepartment of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, Saint Louis, MO, United States.

Funding

INSTITUTIONAL TRAINING GRANT IN GENOMIC SCIENCET32HG000045 · NHGRI · WASHINGTON UNIVERSITY · PI MICHAEL R BRENT, Barak A Cohen · 1997 to 2026
$8.4M
Supplement for Purchase of a Cell Sorter for R35GM133797R35GM133797 · NIGMS · WASHINGTON UNIVERSITY · PI ZHANG, FUZHONG · 2019 to 2023
$2.2M
NHGRI NIH HHS T32 HG000045NIGMS NIH HHS R35 GM133797
6 · The paper itself

Abstract

Bacterial persistence enables a phenotypically tolerant subpopulation to survive lethal antibiotic exposure, contributing to the recalcitrance of chronic infections and facilitating the evolution of heritable resistance. Despite its importance, a systems-level, quantitative understanding of how transcriptional regulation shapes persistence kinetics has remained limited, largely because conventional time-kill assays are inherently low-throughput. Here, we develop Regulatory Time-Kill Sequencing (RTK-seq), a high-throughput functional genomics strategy that combines a pooled CRISPR interference (CRISPRi) library targeting transcription factors with time-resolved antibiotic selection and deep barcode sequencing. RTK-seq simultaneously resolves multiphasic killing trajectories for 174

Indexed as

antibiotic persistenceantibiotic responsehighthroughput analysissystems biologytime kill assay and antibacterial activity

Identifiers

PMID42851763
PMCPMC13646166

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.