Evidence map›Paper›PMID 39091432›Full record

ReviewBiophysics reviews2024

Decoding physical principles of cell migration under controlled environment using microfluidics.

Young Joon Suh, Alan T Li, Mrinal Pandey, Cassidy S Nordmann, Yu Ling Huang, Mingming Wu

Abstract readReview
In one paragraph

Review in Biophysics reviews, 2024. 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
–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

2 citing papers in PubMed.

  1. Article
  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

6 authors.

Young Joon SuhDepartment of Biological and Environmental Engineering, Cornell University, Ithaca, New York 14853, USA.ORCID https://orcid.org/0000-0002-8281-3042
Alan T LiDepartment of Biological and Environmental Engineering, Cornell University, Ithaca, New York 14853, USA.ORCID https://orcid.org/0009-0002-6410-7715
Mrinal PandeyDepartment of Biological and Environmental Engineering, Cornell University, Ithaca, New York 14853, USA.ORCID https://orcid.org/0000-0001-8941-4290
Cassidy S NordmannDepartment of Biomedical Engineering, Cornell University, Ithaca, New York 14853, USA.ORCID https://orcid.org/0009-0003-7090-2165
Yu Ling HuangDepartment of Biological and Environmental Engineering, Cornell University, Ithaca, New York 14853, USA.ORCID https://orcid.org/0000-0003-0441-0157
Mingming WuDepartment of Biological and Environmental Engineering, Cornell University, Ithaca, New York 14853, USA.ORCID https://orcid.org/0000-0001-7846-3580

Funding

Microfluidic platform for tumor cell invasionR01CA221346 · NCI · CORNELL UNIVERSITY · PI Mingming Wu · 2017 to 2026
$3.4M
NCI NIH HHS R01 CA221346
6 · The paper itself

Abstract

Living cells can perform incredible tasks that man-made micro/nano-sized robots have not yet been able to accomplish. One example is that white blood cells can sense and move to the site of pathogen attack within minutes. The robustness and precision of cellular functions have been perfected through billions of years of evolution. In this context, we ask the question whether cells follow a set of physical principles to sense, adapt, and migrate. Microfluidics has emerged as an enabling technology for recreating well-defined cellular environment for cell migration studies, and its ability to follow single cell dynamics allows for the results to be amenable for theoretical modeling. In this review, we focus on the development of microfluidic platforms for recreating cellular biophysical (e.g., mechanical stress) and biochemical (e.g., nutrients and cytokines) environments for cell migration studies in 3D. We summarize the basic principles that cells (including bacteria, algal, and mammalian cells) use to respond to chemical gradients learned from microfluidic systems. We also discuss about novel biological insights gained from studies of cell migration under biophysical cues and the need for further quantitative studies of cell function under well-controlled biophysical environments in the future.

Identifiers

PMID39091432
PMCPMC11290890

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.