Evidence map›Paper›PMID 41413346›Full record

ReviewNature methods2026

Methods to analyze cell migration data: fundamentals and practical guidelines.

Pei-Hsun Wu, Jude M Phillip, Wenxuan Du, Andre Forjaz, Praful R Nair, Denis Wirtz

Abstract readReview
In one paragraph

Review in Nature methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. 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

6 authors.

Pei-Hsun Wu *Department of Chemical & Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, USA. pwu@jhu.edu.ORCID http://orcid.org/0000-0002-7371-2960
Jude M Phillip *Department of Chemical & Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, USA. jphillip@jhu.edu.ORCID http://orcid.org/0000-0002-2999-5254
Wenxuan DuDepartment of Chemical & Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, USA.ORCID http://orcid.org/0000-0003-4117-0623
Andre ForjazDepartment of Chemical & Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, USA.ORCID http://orcid.org/0009-0002-5115-2293
Praful R NairDepartment of Chemical & Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, USA.
Denis WirtzDepartment of Chemical & Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, USA. wirtz@jhu.edu.ORCID http://orcid.org/0000-0001-6147-3045

Funding

Tech Core 2U54CA268083 · NCI · JOHNS HOPKINS UNIVERSITY · PI Pei-Hsun wu · 2022 to 2026
$10.2M
Three-dimensional maps of senescence in the human pancreasUH3CA275681 · NCI · JOHNS HOPKINS UNIVERSITY · PI WU, PEI-HSUN · 2024 to 2025
$1.7M
Engineering self-propelled tumor-infiltrating CAR T cells using synthetic velocity receptorsR01CA300052 · NCI · JOHNS HOPKINS UNIVERSITY · PI Denis Wirtz · 2025 to 2026
$1.3M
Three-dimensional maps of senescence in the human pancreasUG3CA275681 · NCI · JOHNS HOPKINS UNIVERSITY · PI WU, PEI-HSUN · 2022 to 2023
$1.1M
Organ Specific ProjectU54AR081774 · NIAMS · JOHNS HOPKINS UNIVERSITY · PI REDDY, SASHANK K, WIRTZ, DENIS · 2022 to 2023
$1.1M
Defining a biophysical basis for cell types, cell states and cellular heterogeneity at single-cell resolutionR35GM157099 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI Jude Marvin Phillip · 2025 to 2026
$762k
NCI NIH HHS R01 CA300052NCI NIH HHS U54 CA268083NCI NIH HHS UG3 CA275681NCI NIH HHS UH3 CA275681NIAMS NIH HHS U54 AR081774NIGMS NIH HHS R35 GM157099U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) R01CA300052U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) U54AR081774U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) U54CA268083U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) UG3CA275681U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) UH3CA275681U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) R35-GM157099
6 · The paper itself

Abstract

Cell migration assays provide invaluable insights into fundamental biological processes. In a companion Review, we describe commercial and custom in vitro and in vivo assays to measure cell migration and provide guidelines on how to select the most appropriate assay for a given biological question. Here, we describe the fundamental principles of how to compute-from the raw data generated by these assays-quantitative cell migration parameters that help determine the biophysical nature of the cell migration, such as cell speed, mean-squared displacement, diffusivity, persistence, speed and anisotropy, and how to quantify cell heterogeneity, with practical guidance. We also describe new imaging and computational technologies, including AI-based methods, which have helped establish fast, robust and accurate tracking of cells and quantification of cell migration. Taken together, these Reviews offer practical guidance for cell migration assays from conception to analysis.

Indexed as

Cell Migration AssaysCell MovementImage Processing, Computer-AssistedAnimalsCell TrackingGuidelines as TopicHumans

Identifiers

PMID41413346
PMCPMC12920016

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.