Evidence map›Paper›PMID 40637615›Full record

ArticleDevelopmental dynamics : an official publication of the American Association of Anatomists2026

Identification of neural crest and melanoma cancer cell invasion and migration genes using high-throughput screening and deep attention networks.

J C Kasemeier-Kulesa, S Martina Perez, R E Baker, P M Kulesa

Abstract read
In one paragraph

Article in Developmental dynamics : an official publication of the American Association of Anatomists, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Identification of neural crest and melanoma cancer cell invasion and migration genes using high-throughput screening and deep attention networks.Developmental dynamics : an official publication of the American Association of Anatomists · 2026
    Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

J C Kasemeier-KulesaStowers Institute for Medical Research, Kansas City, Missouri, USA.
S Martina PerezWolfson Centre for Mathematical Biology, Mathematical Institute, University of Oxford, Oxford, UK.ORCID 0000-0001-8596-8595
R E BakerWolfson Centre for Mathematical Biology, Mathematical Institute, University of Oxford, Oxford, UK.
P M KulesaChildren's Mercy Research Institute, Children's Mercy Hospital, Kansas City, Missouri, USA.ORCID 0000-0001-6354-9904

Funding

Investigating the relationship between Sympathetic Nervous System Development and NeuroblastomaR01NS128108 · NINDS · UNIVERSITY OF NOTRE DAME · PI Jennifer Kasemeier · 2023 to 2026
$1.2M
Application of Gabriella Miller Kids First Pediatric Research Data to a Predictive Model of NeuroblastomaR03HD105079 · NICHD · UNIVERSITY OF NOTRE DAME · PI KULESA, PAUL · 2021 to 2022
$322k
Eunice Kennedy Shriver National Institute of Child Health and Human Development R03-HD105079-02NICHD NIH HHS R03 HD105079NINDS NIH HHS R01 NS128108
6 · The paper itself

Abstract

backgroundCell migration and invasion are well-coordinated in development and disease but remain poorly understood. We previously showed that the neural crest (NC) cell migratory wavefront shares a 45-gene panel with other cell invasion phenomena. To rapidly and systematically identify critical genes, we performed a high-throughput siRNA screen and statistical and deep learning analyses to determine changes in NC- versus non-NC-derived human cell line behaviors.

resultsWe find 14 out of 45 genes significantly reduced c8161 melanoma cell migration; four of the 14 genes altered leader cell motility (BMP4, ITGB1, KCNE3, and RASGRP1). Deep learning identified marked disruptions in cell-neighbor interactions after BMP4 or RASGRP1 knockdown in c8161 cells. Recombinant proteins added to the culture media revealed five out of the 11 known secreted molecules stimulated c8161 cell migration. BMP4 knockdown severely reduced c8161 in vivo invasion in a chick embryo transplant model. Addition of BMP4 protein to the culture media of BMP4-siRNA-treated c8161 cells rescued cell migratory ability.

conclusionHigh-throughput screening and deep learning distilled a 45-gene panel to a small subset of genes critical to melanoma and warrant deeper in vivo functional analysis for their role and potential synergies in driving NC cell migration and invasion.

Indexed as

Cell MovementMelanomaNeural CrestAnimalsBone Morphogenetic Protein 4Cell Line, TumorChick EmbryoDeep LearningGene Expression Regulation, NeoplasticHigh-Throughput Screening AssaysHumansNeoplasm InvasivenessBMP4 protein, humanBone Morphogenetic Protein 4attention networkscell invasiondeep learninghigh‐throughputmelanomamigrationneural crestsiRNA screen

Identifiers

PMID40637615
PMCPMC12998410

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.