Evidence map›Paper›PMID 42059552›Full record

ArticlemSphere2026

Hybrid capture RNA-seq defines temporal gene expression in

Allison T Scott, Jon McGinn, Vincent L Butty, Stuart S Levine, Rebecca L Lamason

Abstract read
In one paragraph

Article in mSphere, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Allison T ScottDepartment of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.ORCID 0000-0001-8880-3796
Jon McGinnDepartment of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Vincent L ButtyBioMicro Center, Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Stuart S LevineBioMicro Center, Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Rebecca L LamasonDepartment of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.ORCID 0000-0002-2762-7917

Funding

PRE-DOCTORAL TRAINING IN THE BIOLOGICAL SCIENCEST32GM007287 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BELL, STEPHEN P., KEATING, AMY E · 1985 to 2019
$40.8M
Pre-doctoral Training in Fundamental Approaches to Biochemistry and Cell and Molecular BiologyT32GM136540 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Mary Gehring, Michael Laub · 2021 to 2026
$9.5M
Mechanisms of SFG Rickettsia-Host InteractionsR01AI155489 · NIAID · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI REBECCA L LAMASON · 2021 to 2026
$3.7M
Damon Runyon Cancer Research Foundation DRG-2396-20National Institute of Allergy and Infectious Diseases R01AI155489NIAID NIH HHS R01 AI155489NIGMS NIH HHS T32 GM007287NIGMS NIH HHS T32GM007287NIGMS NIH HHS T32 GM136540NIGMS NIH HHS T32GM136540
6 · The paper itself

Abstract

Pathogenic IMPORTANCE: When investigating poorly annotated genomes, such as those in obligate intracellular bacteria, transcriptional analyses can reveal gene sets active under specific conditions and form the foundation for future targeted approaches. However, such systems-level analyses of dynamic gene expression changes during infection with Rickettsia species have been missing due to the limitations of standard RNA-seq library preparations. Here, we adapted the pathogen hybrid capture (PatH-Cap) method for the first time to any Rickettsia species. We leveraged this wealth of RNA-sequencing information to compare temporal trends between genes and investigate aspects of

Indexed as

Gene Expression ProfilingGene Expression Regulation, BacterialRickettsiaRNA-SeqAnimalsGene LibraryRNA, AntisenseRNA, BacterialRNA, AntisenseRNA, Bacterialantisense RNAPatH-CapRickettsia parkeriRNA-seqWGCNA

Identifiers

PMID42059552
PMCPMC13203960

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.