Evidence map›Paper›PMID 27267565›Full record

ReviewCurrent opinion in biotechnology2016

Microfluidics in systems biology-hype or truly useful?

Yi Liu, Hang Lu

Abstract readReview
In one paragraph

Review in Current opinion in biotechnology, 2016. 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. Review
  5. Article
  6. Review
  7. Mobile Microfluidics.Bioengineering (Basel, Switzerland) · 2019
    Review
  8. Article
  9. Review
  10. Review
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.

Yi LiuSchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0100, United States.
Hang LuSchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0100, United States. Electronic address: hang.lu@gatech.edu.

Funding

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
Automated droplet-based platform for combinatorial screens on whole animalsR21EB021676 · NIBIB · GEORGIA INSTITUTE OF TECHNOLOGY · PI LU, HANG · 2015 to 2016
$429k
Microfluidic assays for hyper-reactive platelets in diabetesR21EB020424 · NIBIB · GEORGIA INSTITUTE OF TECHNOLOGY · PI LU, HANG · 2016 to 2017
$405k
Evolving multigenic extensions to lifespanR21AG050304 · NIA · GEORGIA INSTITUTE OF TECHNOLOGY · PI LU, HANG, MCGRATH, PATRICK T · 2015 to 2016
$391k
Spatiotemporal control of reactive oxygen species in T cellsR56AI088023 · NIAID · GEORGIA INSTITUTE OF TECHNOLOGY · PI KEMP, MELISSA LAMBETH, LU, HANG · 2015 to 2015
$371k
NIAID NIH HHS R56 AI088023NIA NIH HHS R21 AG050304NIBIB NIH HHS R21 EB020424NIBIB NIH HHS R21 EB021676NIGMS NIH HHS R01 GM088333NINDS NIH HHS R01 NS096581
6 · The paper itself

Abstract

Systems biology often relies on large-scale measurements and model-building to understand how complex biological systems function. Microfluidic technology has been touted as a tool for high-throughput experiments and has been a valuable tool to some systems biology research. This review focuses on applications where microfluidics can enhance experimental sensitivity and throughput, particularly in recent development in single-cell analyses and analyses on multi-cellular or complex biological entities. We conclude that microfluidics is not necessarily always useful for systems biology, but when used appropriately can greatly enhance experimentalists' ability to measure and control, and thereby enhance the understanding of and expand the utility of biological systems.

Indexed as

Models, BiologicalAnimalsHumansMicrofluidicsSingle-Cell AnalysisSystems Biology

Identifiers

PMID27267565
PMCPMC4901307

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.