Article in mBio, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 49% 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
4 citing papers in PubMed, 5 citations in OpenAlex.
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
6 authors at 1 institution in 1 country.
John SatkovichDepartment of Microbiology, Immunology, and Cancer Biology, University of Virginia School of Medicine, Charlottesville, Virginia, USA.
Christopher J AndersonDepartment of Microbiology, Immunology, and Cancer Biology, University of Virginia School of Medicine, Charlottesville, Virginia, USA.
Christopher B MedinaDepartment of Microbiology, Immunology, and Cancer Biology, University of Virginia School of Medicine, Charlottesville, Virginia, USA.
Matteo OttoliniDepartment of Pharmacology, University of Virginia School of Medicine, Charlottesville, Virginia, USA.
John R LukensDepartment of Neuroscience, Center for Brain Immunology and Glia, University of Virginia School of Medicine, Charlottesville, Virginia, USA.
Melissa M KendallDepartment of Microbiology, Immunology, and Cancer Biology, University of Virginia School of Medicine, Charlottesville, Virginia, USA melissakendall@virginia.edu.ORCID 0000-0002-7334-5347
University of Virginia · US
Funding
INFECTIOUS DISEASES TRAINING PROGRAMT32AI007046 · NIAID · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Alison K Criss, William A Petri · 1985 to 2026
$15.3M
TRAINING IN THE PHARMACOLOGICAL SCIENCEST32GM007055 · NIGMS · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI LYNCH, KEVIN R. · 1985 to 2022
$7.2M
Ethanolamine Signaling in Virulence Gene Regulation and Host/Microbial InteractionsR01AI118732 · NIAID · UNIVERSITY OF VIRGINIA · PI KENDALL, MELISSA · 2015 to 2019
$1.9M
Mechanisms involved in Salmonella immune evasionR21AI130439 · NIAID · UNIVERSITY OF VIRGINIA · PI KENDALL, MELISSA · 2018 to 2019
$437k
Roles of Archaea in infectious diseaseR03AI146888 · NIAID · UNIVERSITY OF VIRGINIA · PI KENDALL, MELISSA · 2019 to 2020
Regulated macrophage death has emerged as an important mechanism to defend against intracellular pathogens. However, the importance and consequences of macrophage death during bacterial infection are poorly resolved. This is especially true for the recently described RIPK3-dependent lytic cell death, termed necroptosis.
Indexed as
AnimalsCaspase InhibitorsCaspasesHost-Pathogen InteractionsInflammasomesInflammationMacrophagesMiceMice, Inbred C57BLNecroptosisReceptor-Interacting Protein Serine-Threonine KinasesSalmonella Infections, AnimalSalmonella typhimuriumSignal TransductionCaspase InhibitorsCaspasesInflammasomesReceptor-Interacting Protein Serine-Threonine KinasesRipk3 protein, mousebacteriamacrophagesnecroptosisRIPK3Salmonellasystemic infection
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.
RIPK3-Dependent Recruitment of Low-Inflammatory Myeloid Cells Does Not Protect from Systemic · full record | OpenQuestion