Evidence map›Paper›PMID 33635052›Full record

ArticleAnalytical chemistry2021

Screening of Additive Formulations Enables Off-Chip Drop Reverse Transcription Quantitative Polymerase Chain Reaction of Single Influenza A Virus Genomes.

Emma Kate Loveday, Geoffrey K Zath, Dimitri A Bikos, Zackary J Jay, Connie B Chang

Open access · greenAbstract read
In one paragraph

Article in Analytical chemistry, 2021. 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
0.8field-weighted citation impact, top 33% 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, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  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

5 authors at 1 institution in 1 country.

Emma Kate LovedayCenter for Biofilm Engineering and the Department of Chemical and Biological Engineering, Montana State University, Bozeman, Montana 59717, United States.
Geoffrey K ZathCenter for Biofilm Engineering and the Department of Chemical and Biological Engineering, Montana State University, Bozeman, Montana 59717, United States.ORCID 0000-0001-7870-9034
Dimitri A BikosCenter for Biofilm Engineering and the Department of Chemical and Biological Engineering, Montana State University, Bozeman, Montana 59717, United States.
Zackary J JayDepartment of Chemistry and Biochemistry, Montana State University, Bozeman, Montana 59717, United States.
Connie B ChangCenter for Biofilm Engineering and the Department of Chemical and Biological Engineering, Montana State University, Bozeman, Montana 59717, United States.ORCID 0000-0001-9555-8223
Montana State University · US

Funding

High-throughput droplet qRT-PCR microfluidic platform for quantification of virus from single cellsR56AI156137 · NIAID · MONTANA STATE UNIVERSITY - BOZEMAN · PI CHANG, CONNIE B · 2021 to 2021
$360k
NIAID NIH HHS R56 AI156137
6 · The paper itself

Abstract

The miniaturization of polymerase chain reaction (PCR) using drop-based microfluidics allows for amplification of single nucleic acids in aqueous picoliter-sized drops. Accurate data collection during PCR requires that drops remain stable to coalescence during thermocycling and drop contents are retained. Following systematic testing of known PCR additives, we identified an optimized formulation of 1% w/v Tween-20, 0.8 μg/μL bovine serum albumin, 1 M betaine in the aqueous phase, and 3 wt % (w/w) of the polyethylene glycol-perfluoropolyether

Indexed as

Influenza A virusOligonucleotide Array Sequence AnalysisReal-Time Polymerase Chain ReactionReverse Transcriptase Polymerase Chain ReactionReverse Transcription

Identifiers

PMID33635052
PMCPMC10016143
OpenAlexW3129640622

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.