Evidence map›Paper›PMID 31866782›Full record

ReviewThe Yale journal of biology and medicine2019

Activation of the Unfolded Protein Response Pathway in Cytotoxic T Cells: A Comparison Between

Samuel R Kerr, Samuel G Katz

Abstract readReview
In one paragraph

Review in The Yale journal of biology and medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.2field-weighted citation impact, top 46% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Proteostasis in T cell aging.Seminars in immunology · 2023
    Review
  4. Article
  5. Article
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

2 authors at 1 institution in 1 country.

Samuel R KerrDepartment of Pathology, Yale University, New Haven, CT.
Samuel G KatzDepartment of Pathology, Yale University, New Haven, CT.
Yale University · US

Funding

Yale Cancer Biology Training GrantT32CA193200 · NCI · YALE UNIVERSITY · PI PETER M GLAZER, Qin Yan · 2016 to 2026
$3.6M
Cell Death Regulation by Pro-Apoptotic BOK in CardiomyocytesR01HL131793 · NHLBI · YALE UNIVERSITY · PI KATZ, SAMUEL G · 2016 to 2020
$2.3M
Multifactor mRNA Mediated T Cell Reprogramming for Systemic Lupus ErythematosusR21AI121993 · NIAID · YALE UNIVERSITY · PI KATZ, SAMUEL G · 2017 to 2018
$461k
SYNERGIZING PRO-APOPTOTIC AND CAR-T CELL IMMUNOTHERAPY FOR MANTLE CELL LYMPHOMAR21CA198561 · NCI · YALE UNIVERSITY · PI KATZ, SAMUEL G · 2015 to 2016
$398k
NCI NIH HHS R21 CA198561NCI NIH HHS T32 CA193200NHLBI NIH HHS R01 HL131793NIAID NIH HHS R21 AI121993
6 · The paper itself

Abstract

IRE1α is an extremely conserved intracellular receptor that regulates one branch of the unfolded protein response (UPR). Homologs of IRE1α are found virtually throughout all eukaryotes. This receptor plays a pivotal role in a cell's reaction to stress, determining whether to take compensatory measures and survive or undergo apoptosis and die. While the role of the unfolded protein response in lower organisms and secretory cells has been comprehensively studied, the precise role of IRE1α in the context of cytotoxic T cells has only begun to be elucidated within the past decade. This review discusses what is known about IRE1α and the unfolded protein response in cytotoxic T cells within the context of development, pathogen response, and cancer cell growth.

Indexed as

Unfolded Protein ResponseAnimalsHumansInfectionsLymphocyte ActivationNeoplasmsT-Lymphocytes, CytotoxicTumor MicroenvironmentCD8 T CellsCytotoxic T CellsIRE1αUnfolded Protein ResponseUPRXBP1

Identifiers

PMID31866782
PMCPMC6913815
OpenAlexW2996984819

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.