Evidence map›Paper›PMID 25937561›Full record

ReviewTrends in immunology2015

In vivo RNAi screens: concepts and applications.

Shane Crotty, Matthew E Pipkin

Open access · greenAbstract readReview
In one paragraph

Review in Trends in immunology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 19 citations in OpenAlex.

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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 2 institutions in 1 country.

Shane CrottyDivision of Vaccine Discovery, La Jolla Institute for Allergy and Immunology, La Jolla, CA, 92037, USA.
Matthew E PipkinDepartment of Cancer Biology, The Scripps Research Institute, Jupiter, FL, 33458, USA. Electronic address: mpipkin@scripps.edu.
La Jolla Institute for Immunology · USScripps Research Institute · US

Funding

TF regulation of CD8 and CD4 T cell memory in both systemic and dermal infectionU19AI109976 · NIAID · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI PETERS, BJOERN · 2014 to 2018
$10.5M
Regulation of nucleosome positions and transcription during CTL differentiationR01AI095634 · NIAID · SCRIPPS FLORIDA · PI PIPKIN, MATTHEW EUGENE · 2011 to 2015
$2.4M
NIAID NIH HHS R01 AI095634NIAID NIH HHS U19 AI109976
6 · The paper itself

Abstract

Functional genomics approaches that leverage the RNAi pathway have been applied in vivo to examine the roles of hundreds or thousands of genes; mainly in the context of cancer. Here, we discuss principles guiding the design of RNAi screens, parameters that determine success and recent developments that have improved accuracy and expanded the applicability of these approaches to other in vivo settings, including the immune system. We review recent studies that have applied in vivo RNAi screens in T cells to examine genes that regulate T cell differentiation during viral infection, and that control their accumulation in tumors in a model of adoptive T cell therapy. In this context, we put forward an argument as to why RNAi approaches in vivo are likely to provide particularly salient insight into immunology.

Indexed as

Genetic Association StudiesRNA InterferenceAnimalsCell Transformation, NeoplasticGene Expression ProfilingHumansRNA, MessengerRNA, Small InterferingT-Lymphocyte SubsetsTumor MicroenvironmentVirus DiseasesRNA, MessengerRNA, Small Interferingimmunotherapyin vivo RNAi screensmemory CD8 T cell differentiationpooled screensT follicular helper cell differentiation

Identifiers

PMID25937561
PMCPMC4810674
OpenAlexW1988823082

What OpenQuestion holds

Textmetadata
LicenceTDM
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.