Evidence map›Paper›PMID 30815639›Full record

ArticleLab on a chip2019

A diffusion-based microfluidic device for single-cell RNA-seq.

Mimosa Sarma, Jiyoung Lee, Sai Ma, Song Li, Chang Lu

Abstract read
In one paragraph

Article in Lab on a chip, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Advancement of Single-Cell Sequencing in Medulloblastoma.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. 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.

Mimosa SarmaDepartment of Chemical Engineering, Virginia Tech, Blacksburg, VA, USA. changlu@vt.edu.
Jiyoung Lee
Sai Ma
Song Li
Chang Lu

Funding

Probing dynamics in protein-DNA interactions during disease development using sinR01EB017235 · NIBIB · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI LU, CHANG · 2014 to 2017
$1.3M
Next-generation MOWChIP-seq for high-throughput epigenomic profiling using clinically relevant samplesR33CA214176 · NCI · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI LU, CHANG · 2017 to 2019
$1.2M
Ultrasensitive microfluidic ChIP-MethylC-seq for integrative analysis of histone modification and DNA methylationR21HG009256 · NHGRI · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI LU, CHANG · 2016 to 2018
$604k
NCI NIH HHS R33 CA214176NHGRI NIH HHS R21 HG009256NIBIB NIH HHS R01 EB017235
6 · The paper itself

Abstract

Microfluidic devices provide a low-input and efficient platform for single-cell RNA-seq (scRNA-seq). Existing microfluidic devices have a complicated multi-chambered structure for handling the multi-step process involved in RNA-seq and dilution between steps is used to negate the inhibitory effects among reagents. This makes the device difficult to fabricate and operate. Here we present microfluidic diffusion-based RNA-seq (MID-RNA-seq) for conducting scRNA-seq with a diffusion-based reagent swapping scheme. This device incorporates cell trapping, lysis, reverse transcription and PCR amplification all in one simple microfluidic device. MID-RNA-seq provides high data quality that is comparable to existing scRNA-seq methods while implementing a simple device design that permits multiplexing. The robustness and scalability of the MID-RNA-seq device will be important for transcriptomic studies of scarce cell samples.

Indexed as

Lab-On-A-Chip DevicesAnimalsDiffusionEquipment DesignHCT116 CellsHumansMiceSequence Analysis, RNASingle-Cell Analysis

Identifiers

PMID30815639
PMCPMC6459606

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Registered trials

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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.