Evidence map›Paper›PMID 33237042›Full record

ArticleLab on a chip2020

Enabling high-throughput single-animal gene-expression studies with molecular and micro-scale technologies.

Jason Wan, Hang Lu

Open access · greenAbstract read
In one paragraph

Article in Lab on a chip, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. 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

2 authors at 1 institution in 1 country.

Jason WanWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia 30332, USA. hang.lu@gatech.edu.ORCID 0000-0002-4434-9357
Hang LuWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia 30332, USA. hang.lu@gatech.edu and School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA and Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia 30332, USA.ORCID 0000-0002-6881-660X
Georgia Institute of Technology · US

Funding

Systems variation underlying the genetics of agingR01AG056436 · NIA · UNIVERSITY OF OREGON · PI LU, HANG, PHILLIPS, PATRICK C. · 2017 to 2021
$2.7M
Functional Analysis of Whole-Brain Dynamics in LearningR01NS115484 · NINDS · HARVARD UNIVERSITY · PI LU, HANG, ZHANG, YUN · 2020 to 2024
$2.4M
Quantitative microscopy-based rapid phenotyping and screeningR01GM088333 · NIGMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI LU, HANG · 2011 to 2018
$2.3M
Quantitative Understanding of Mechnosensory Circuit on ChipR01NS096581 · NINDS · GEORGIA INSTITUTE OF TECHNOLOGY · PI LU, HANG · 2016 to 2020
$1.7M
In-line, Non-invasive, Real-time 3D Quantitative Phase Microscopy for OrganoidsR21NS117067 · NINDS · GEORGIA INSTITUTE OF TECHNOLOGY · PI LU, HANG, ROBLES, FRANCISCO E · 2020 to 2020
$426k
Droplet-based platform for functional neuronal imaging of developing nervous systemR21NS117066 · NINDS · GEORGIA INSTITUTE OF TECHNOLOGY · PI AUBRY, GUILLAUME, LU, HANG · 2020 to 2020
$407k
An Assay to Screen for Drugs Against Transmembrane Proteins Associated with DeafnessR21DC015652 · NIDCD · GEORGIA INSTITUTE OF TECHNOLOGY · PI LU, HANG · 2017 to 2018
$386k
NIA NIH HHS R01 AG056436NIDCD NIH HHS R21 DC015652NIGMS NIH HHS R01 GM088333NINDS NIH HHS R01 NS096581NINDS NIH HHS R01 NS115484NINDS NIH HHS R21 NS117066NINDS NIH HHS R21 NS117067
6 · The paper itself

Abstract

Gene expression and regulation play diverse and important roles across all living systems. By quantifying the expression, whether in a sample of single cells, a specific tissue, or in a whole animal, one can gain insights into the underlying biology. Many biological questions now require single-animal and tissue-specific resolution, such as why individuals, even within an isogenic population, have variations in development and aging across different tissues and organs. The popular techniques that quantify the transcriptome (e.g. RNA-sequencing) process populations of animals and cells together and thus, have limitations in both individual and spatial resolution. There are single-animal assays available (e.g. fluorescent reporters); however, they suffer other technical bottlenecks, such as a lack of robust sample-handling methods. Microfluidic technologies have demonstrated various improvements throughout the years, and it is likely they can enhance the impact of these single-animal gene-expression assays. In this perspective, we aim to highlight how the engineering/method-development field have unique opportunities to create new tools that can enable us to robustly answer the next set of important questions in biology that require high-density, high-quality gene expression data.

Indexed as

MicrofluidicsTranscriptomeAnimalsSequence Analysis

Identifiers

PMID33237042
PMCPMC7769683
OpenAlexW3095371892

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.