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Transfer Learning Reveals Cancer-Associated Fibroblasts Are Associated with Epithelial-Mesenchymal Transition and Inflammation in Cancer Cells in Pancreatic Ductal Adenocarcinoma.

Samantha GuinnBenedict Kinny-KösterJoseph A TandurellaJacob T MitchellDimitrios N SidiropoulosMelanie LothMelissa R LymanAlexandra B PucsekDaniel J ZabranskyJae W LeeEmma KartaliaMili RamaniToni T SeppäläChristopher M CherryReecha SuriHaley ZlomkeJignasha PatelJin HeChristopher L WolfgangXin YuLei ZhengDavid P RyanDavid Tsai TingAlec C KimmelmanAnuj GuptaLudmila V DanilovaJennifer H ElisseeffLaura D WoodGenevieve L Stein-O'BrienLuciane Tsukamoto KagoharaElizabeth D ThompsonRichard Andrew BurkhartElana J FertigJacquelyn W Zimmerman
Published in: Cancer research (2024)
Adaptation of transfer learning to relate human single-cell RNA sequencing data to organoid-CAF cocultures facilitates discovery of human pancreatic cancer intercellular interactions and uncovers cross-talk between CAFs and tumor cells through VEGFA and ITGB1.
Keyphrases
  • single cell
  • endothelial cells
  • epithelial mesenchymal transition
  • high throughput
  • oxidative stress
  • rna seq
  • pluripotent stem cells
  • machine learning
  • big data
  • deep learning