ArticleNature communications2023
The PECAn image and statistical analysis pipeline identifies Minute cell competition genes and features.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
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Who cites it
4 citing papers in PubMed, 6 citations in OpenAlex.
- Tumour-host interactions in Drosophila: mechanisms in the tumour micro- and macroenvironment.Molecular oncology · 2026Review
- Mechanisms of cellular fitness and cell competition: Towards an integrated view.Current opinion in cell biology · 2025Review
- NF-κB signaling driven by oncogenic Ras contributes to tumorigenesis in a Drosophila carcinoma model.PLoS biology · 2025Article
- The PECAn image and statistical analysis pipeline identifies Minute cell competition genes and features.Nature communications · 2023Article
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Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
Abstract
Investigating organ biology often requires methodologies to induce genetically distinct clones within a living tissue. However, the 3D nature of clones makes sample image analysis challenging and slow, limiting the amount of information that can be extracted manually. Here we develop PECAn, a pipeline for image processing and statistical data analysis of complex multi-genotype 3D images. PECAn includes data handling, machine-learning-enabled segmentation, multivariant statistical analysis, and graph generation. This enables researchers to perform rigorous analyses rapidly and at scale, without requiring programming skills. We demonstrate the power of this pipeline by applying it to the study of Minute cell competition. We find an unappreciated sexual dimorphism in Minute cell growth in competing wing discs and identify, by statistical regression analysis, tissue parameters that model and correlate with competitive death. Furthermore, using PECAn, we identify several genes with a role in cell competition by conducting an RNAi-based screen.
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Registered trials
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.