Evidence map›Paper›PMID 35076277›Full record

ArticlemSystems2022

Decoding Transcription Regulatory Mechanisms Associated with

Sascha H Duttke, Sinem Beyhan, Rajendra Singh, Sonya Neal, Suganya Viriyakosol, Joshua Fierer, Theo N Kirkland, Jason E Stajich, Christopher Benner, Aaron F Carlin

Open access · goldAbstract read
In one paragraph

Article in mSystems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
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

17 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. From soil to clinic: current advances in understandingMicrobiology and molecular biology reviews : MMBR · 2024
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Evaluation of Different Gene Prediction Tools inJournal of fungi (Basel, Switzerland) · 2023
    Article
  13. Enhancers associated with unstable RNAs are rare in plants.bioRxiv : the preprint server for biology · 2023
    Article
  14. Article
  15. Article
  16. Article
  17. Coccidioides Species: A Review of Basic Research: 2022.Journal of fungi (Basel, Switzerland) · 2022
    Review
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

10 authors at 3 institutions in 1 country.

Sascha H DuttkeDepartment of Medicine, Division of Endocrinology, UC San Diego School of Medicine, La Jolla, California, USA.ORCID 0000-0003-4717-000X
Sinem BeyhanDepartment of Medicine, Division of Infectious Disease, UC San Diego School of Medicine, La Jolla, California, USA.
Rajendra SinghDepartment of Medicine, Division of Infectious Disease, UC San Diego School of Medicine, La Jolla, California, USA.
Sonya NealSection of Cell and Developmental Biology, Division of Biological Sciences, University of California, San Diegogrid.266100.3, La Jolla, California, USA.
Suganya ViriyakosolDepartment of Medicine, Division of Infectious Disease, UC San Diego School of Medicine, La Jolla, California, USA.
Joshua FiererDepartment of Medicine, Division of Infectious Disease, UC San Diego School of Medicine, La Jolla, California, USA.
Theo N KirklandDepartment of Medicine, Division of Infectious Disease, UC San Diego School of Medicine, La Jolla, California, USA.
Jason E StajichDepartment of Microbiology and Plant Pathology, Institute for Integrative Genome Biology, University of California-Riverside, Riverside, California, USA.ORCID 0000-0002-7591-0020
Christopher BennerDepartment of Medicine, Division of Endocrinology, UC San Diego School of Medicine, La Jolla, California, USA.ORCID 0000-0002-4618-0719
Aaron F CarlinDepartment of Medicine, Division of Infectious Disease, UC San Diego School of Medicine, La Jolla, California, USA.ORCID 0000-0002-1669-8066
University of California San Diego · USJ. Craig Venter Institute · USUniversity of California, Riverside · US

Funding

SARS-CoV adaptations through a Systems Biology Lens (SYBIL)U19AI135972 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Adolfo Garcia-Sastre · 2018 to 2026
$27.2M
Training In Cardiovascular Physiology & PharmacologyT32HL007444 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Ju Chen, Robert Scott Ross · 1985 to 2026
$11.1M
Decoding the grammar of transcriptional enhancers regulating different stages of opioid use disorderU01DA051972 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BENNER, CHRISTOPHER W, TELESE, FRANCESCA · 2020 to 2024
$3.4M
UCSD PRIDE Faculty Development Program in Cardiovascular SciencesR25HL145817 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Robert Scott Ross, Joann Trejo · 2019 to 2026
$3.3M
The Discovery of Molecules and Mechanisms of the Rhomboid SuperfamilyR35GM133565 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Sonya Elina Neal · 2019 to 2026
$2.9M
Interplay between the heat shock response and histidine kinase pathways in the thermally dimorphic fungal pathogen Histoplasma capsulatumR01AI137418 · NIAID · J. CRAIG VENTER INSTITUTE, INC. · PI BEYHAN, SINEM · 2018 to 2023
$2.4M
Uncovering how transcription and chromatin 3D structure impact one another during cellular activationR01GM134366 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BENNER, CHRISTOPHER W · 2019 to 2023
$1.7M
Deconvolution of pro- and anti-viral responses to Dengue virus and Zika Virus infectionsK08AI130381 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CARLIN, AARON F. · 2019 to 2023
$1.0M
Exploiting Natural Genetic and Organismic Variation to Identify the DNA Motifs Regulating TranscriptionR00GM135515 · NIGMS · WASHINGTON STATE UNIVERSITY · PI DUTTKE, SASCHA H. · 2022 to 2024
$747k
Illumina NovaSeq 6000 Sequencing SystemS10OD026929 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JEPSEN, KRISTEN LYNN · 2019 to 2019
$600k
Exploiting Natural Genetic and Organismic Variation to Identify the DNA Motifs Regulating TranscriptionK99GM135515 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DUTTKE, SASCHA H. · 2020 to 2021
$200k
NHLBI NIH HHS R25 HL145817NHLBI NIH HHS T32 HL007444NIAID NIH HHS K08 AI130381NIAID NIH HHS R01 AI137418NIAID NIH HHS U19 AI135972NIDA NIH HHS U01 DA051972NIGMS NIH HHS K99 GM135515NIGMS NIH HHS R00 GM135515NIGMS NIH HHS R01 GM134366NIGMS NIH HHS R35 GM133565NIH HHS S10 OD026929
6 · The paper itself

Abstract

New or emerging infectious diseases are commonly caused by pathogens that cannot be readily manipulated or studied under common laboratory conditions. These limitations hinder standard experimental approaches and our abilities to define the fundamental molecular mechanisms underlying pathogenesis. The advance of capped small RNA sequencing (csRNA-seq) now enables genome-wide mapping of actively initiated transcripts from genes and other regulatory transcribed start regions (TSRs) such as enhancers at a precise moment from total RNA. As RNA is nonpathogenic and can be readily isolated from inactivated infectious samples, csRNA-seq can detect acute changes in gene regulation within or in response to a pathogen with remarkable sensitivity under common laboratory conditions. Studying valley fever (coccidioidomycosis), an emerging endemic fungal infection that increasingly impacts livestock, pet, and human health, we show how csRNA-seq can unravel transcriptional programs driving pathogenesis. Performing csRNA-seq on RNA isolated from different stages of the valley fever pathogen Coccidioides immitis revealed alternative promoter usage, connected

Indexed as

CoccidioidesCoccidioidomycosisGene Expression RegulationHumansRNATranscription FactorsVirulenceRNATranscription FactorsCoccidioides immitiscoccidioidomycosiscsRNA-seqgene regulationgenomicsphase transitiontranscription factorstranscriptomicsvalley feverWOPR

Identifiers

PMID35076277
PMCPMC8788335
OpenAlexW4207075584

What OpenQuestion holds

Textmetadata
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.