Identification of Host Factors of Paramyxoviruses by siRNA Genome-Wide Screens.

Biaoguo Yan, Kristmundur Sigmundsson, Yaw Shin Ooi, Danielle E Anderson

Abstract read

In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Biaoguo YanProgramme in Emerging Infectious Diseases, Duke-National University of Singapore Medical School, Singapore, Singapore.

Kristmundur SigmundssonProgramme in Cardiovascular & Metabolic Disorders, Duke-National University of Singapore Medical School, Singapore, Singapore.

Yaw Shin OoiProgramme in Emerging Infectious Diseases, Duke-National University of Singapore Medical School, Singapore, Singapore.

Danielle E AndersonVictorian Infectious Diseases Reference Laboratory, The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia. Danielle.anderson@unimelb.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Measles is a highly infectious disease that continues to spread mainly in developing countries, often resulting in child mortality. Despite the existence of effective vaccines, no specific antivirals are available as targeted therapy to combat measles virus (MeV). The implementation of genome-wide siRNA screens can provide a powerful platform to discover host factors that mediate MeV infection and replication, which could be essential to develop novel therapeutic strategies against this disease. Here, we describe a human genome-wide siRNA screen for MeV.

Indexed as

Measles virusRNA, Small InterferingGenome, HumanHost-Pathogen InteractionsHumansRNA InterferenceVirus ReplicationRNA, Small InterferingGenome-wide screenMorbillivirusParamyxoviridaesiRNA

Identifiers

PMID38743365

DOI10.3390/v7020699

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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.