Evidence map›Paper›PMID 35992642›Full record

ArticleBiomicrofluidics2022

An investigation into simplifying total RNA extraction with minimal equipment using a low volume, electrokinetically driven microfluidic protocol.

Kiara Lee, Anubhav Tripathi

Open access · greenAbstract read
In one paragraph

Article in Biomicrofluidics, 2022. 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
0.1field-weighted citation impact, top 64% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

2 authors at 1 institution in 1 country.

Anubhav TripathiCenter for Biomedical Engineering, School of Engineering, Brown University, Providence, Rhode Island 02912, USA.ORCID 0000-0002-8915-2320
Brown University · US

Funding

Advancing the Culture of PhD Learning & Scholarship in Biology & Health SciencesR25GM083270 · NIGMS · BROWN UNIVERSITY · PI CAMPBELL, ANDREW G., HARRINGTON, ELIZABETH O · 2008 to 2021
$7.5M
NIGMS NIH HHS R25 GM083270
6 · The paper itself

Abstract

Current methods for total RNA extraction are time-consuming and require several hands-on steps and specialized equipment. Microfluidic devices can offer the opportunity to reduce the number of hands-on steps, decrease the volumes of reagents required for purification, and make extraction high throughput. Here, we investigated the translation of a high volume magnetic bead-based total RNA extraction method (from human whole blood) onto a low input volume microfluidic device. Our results first show that RNA integrity is maintained when the reagent volumes are scaled down by a factor of 22 and the wash buffers are combined 1:1. With our microfluidic method, the number of wash steps can be reduced from four to one. Thus, the time to complete RNA extraction can be reduced from 2 h to 40 min. These manipulations to the conventional protocol yielded RNA amplifiable within 40 cycles of reverse transcription quantitative PCR (RT-qPCR) when using the microfluidic device to simplify the wash steps. To improve the purification of the RNA during the bead transport through the microchannel, we also investigated the effect of a synergetic application of the electrokinetic flow. Our results show that DNase I and other contaminants surrounding the beads get washed away more effectively via electrophoretic transport. Most notably, RNA adsorption on the beads is strong enough to counter electrophoretically-driven desorption. In all, our work opens new ways to extract high-quality total RNA rapidly and simply from a small quantity of blood, making the process of RNA extraction more accessible.

Identifiers

PMID35992642
PMCPMC9385220
OpenAlexW4291997196

What OpenQuestion holds

Textmetadata
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.