Evidence map›Paper›PMID 35243297›Full record

ReviewMaterials today. Bio2022

Microfluidic platforms for single neuron analysis.

Pallavi Gupta, Ashwini Shinde, Kavitha Illath, Srabani Kar, Moeto Nagai, Fan-Gang Tseng, Tuhin Subhra Santra

Open access · goldAbstract readReview
In one paragraph

Review in Materials today. Bio, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. An integratediScience · 2026
    Article
  3. Review
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  15. Cultivation and Imaging ofBioengineering (Basel, Switzerland) · 2022
    Article
  16. Novel advanced patient-derivedFrontiers in neurology
    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

7 authors at 4 institutions in 4 countries.

Pallavi GuptaDepartment of Engineering Design, Indian Institute of Technology Madras, Chennai, 600036, India.
Ashwini ShindeDepartment of Engineering Design, Indian Institute of Technology Madras, Chennai, 600036, India.
Kavitha IllathDepartment of Engineering Design, Indian Institute of Technology Madras, Chennai, 600036, India.
Srabani KarDepartment of Electrical Engineering, University of Cambridge, Cambridge, CB3 0FA, UK.
Moeto NagaiDepartment of Mechanical Engineering, Toyohashi University of Technology, Toyohashi, 441-8580, Japan.
Fan-Gang TsengDepartment of Engineering and System Science, National Tsing Hua University, Hsinchu, 30013, Taiwan.
Tuhin Subhra SantraDepartment of Engineering Design, Indian Institute of Technology Madras, Chennai, 600036, India.
Indian Institute of Technology Madras · INNational Tsing Hua University · TWToyohashi University of Technology · JPUniversity of Cambridge · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

Single-neuron actions are the basis of brain function, as clinical sequelae, neuronal dysfunction or failure for most of the central nervous system (CNS) diseases and injuries can be identified via tracing single-neurons. The bulk analysis methods tend to miscue critical information by assessing the population-averaged outcomes. However, its primary requisite in neuroscience to analyze single-neurons and to understand dynamic interplay of neurons and their environment. Microfluidic systems enable precise control over nano-to femto-liter volumes via adjusting device geometry, surface characteristics, and flow-dynamics, thus facilitating a well-defined micro-environment with spatio-temporal control for single-neuron analysis. The microfluidic platform not only offers a comprehensive landscape to study brain cell diversity at the level of transcriptome, genome, and/or epigenome of individual cells but also has a substantial role in deciphering complex dynamics of brain development and brain-related disorders. In this review, we highlight recent advances of microfluidic devices for single-neuron analysis, i.e., single-neuron trapping, single-neuron dynamics, single-neuron proteomics, single-neuron transcriptomics, drug delivery at the single-neuron level, single axon guidance, and single-neuron differentiation. Moreover, we also emphasize limitations and future challenges of single-neuron analysis by focusing on key performances of throughput and multiparametric activity analysis on microfluidic platforms.

Indexed as

Microelectrode arrayMicrofluidic devicesOmicsSingle axon guidanceSingle cell analysisSingle neuron analysisSingle neuron dynamics

Identifiers

PMID35243297
PMCPMC8866890
OpenAlexW4213269114

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.