Wang, V. M. et al. CD9 identifies pancreatic most cancers stem cells and modulates glutamine metabolism to gasoline tumour development. Nat. Cell Biol. 21, 1425–1435 (2019).
Ligorio, M. et al. Stromal microenvironment shapes the intratumoral structure of pancreatic most cancers. Cell 178, 160–175 (2019).
Chan-Seng-Yue, M. et al. Transcription phenotypes of pancreatic most cancers are pushed by genomic occasions throughout tumor evolution. Nat. Genet. 52, 231–240 (2020).
Hayashi, A. et al. A unifying paradigm for transcriptional heterogeneity and squamous options in pancreatic ductal adenocarcinoma. Nat. Most cancers 1, 59–74 (2020).
Collisson, E. A., Bailey, P., Chang, D. Okay. & Biankin, A. V. Molecular subtypes of pancreatic most cancers. Nat. Rev. Gastroenterol. Hepatol. 16, 207–220 (2019).
Brazil, D. P., Church, R. H., Surae, S., Godson, C. & Martin, F. BMP signalling: agony and antagony within the household. Developments Cell Biol. 25, 249–264 (2015).
Ouahoud, S., Hardwick, J. C. H. & Hawinkels, L. Extracellular BMP antagonists, multifaceted orchestrators within the tumor and its microenvironment. Int. J. Mol. Sci. 21, 3888 (2020).
Sankpal, N. V., Fleming, T. P., Sharma, P. Okay., Wiedner, H. J. & Gillanders, W. E. A double-negative suggestions loop between EPCAM and ERK contributes to the regulation of epithelial-mesenchymal transition in most cancers. Oncogene 36, 3706–3717 (2017).
Pastushenko, I. et al. Identification of the tumour transition states occurring throughout EMT. Nature 556, 463–468 (2018).
Bardeesy, N. et al. Each p16Ink4a and the p19Arf-p53 pathway constrain development of pancreatic adenocarcinoma within the mouse. Proc. Natl Acad. Sci. USA 103, 5947–5952 (2006).
Schönhuber, N. et al. A next-generation dual-recombinase system for time- and host-specific focusing on of pancreatic most cancers. Nat. Med. 20, 1340–1347 (2014).
Gazzerro, E. et al. Conditional deletion of gremlin causes a transient enhance in bone formation and bone mass. J. Biol. Chem. 282, 31549–31557 (2007).
Muzumdar, M. D., Tasic, B., Miyamichi, Okay., Li, L. & Luo, L. A worldwide double-fluorescent Cre reporter mouse. Genesis 45, 593–605 (2007).
Collisson, E. A. et al. Subtypes of pancreatic ductal adenocarcinoma and their differing responses to remedy. Nat. Med. 17, 500–503 (2011).
Chaffer, C. L., San Juan, B. P., Lim, E. & Weinberg, R. A. EMT, cell plasticity and metastasis. Most cancers Metastasis Rev. 35, 645–654 (2016).
Dongre, A. & Weinberg, R. A. New insights into the mechanisms of epithelial-mesenchymal transition and implications for most cancers. Nat. Rev. Mol. Cell Biol. 20, 69–84 (2019).
Yang, J. et al. Tips and definitions for analysis on epithelial-mesenchymal transition. Nat. Rev. Mol. Cell Biol. 21, 341–352 (2020).
Moffitt, R. A. et al. Digital microdissection identifies distinct tumor- and stroma-specific subtypes of pancreatic ductal adenocarcinoma. Nat. Genet. 47, 1168–1178 (2015).
Neuzillet, C. et al. Inter- and intra-tumoural heterogeneity in cancer-associated fibroblasts of human pancreatic ductal adenocarcinoma. J. Pathol. 248, 51–65 (2019).
Pastushenko, I. & Blanpain, C. EMT transition states throughout tumor development and metastasis. Developments Cell Biol. 29, 212–226 (2019).
Sanvitale, C. E. et al. A brand new class of small molecule inhibitor of BMP signaling. PLoS ONE 8, e62721 (2013).
Stemmler, M. P., Eccles, R. L., Brabletz, S. & Brabletz, T. Non-redundant features of EMT transcription components. Nat. Cell Biol. 21, 102–112 (2019).
Guaita, S. et al. Snail induction of epithelial to mesenchymal transition in tumor cells is accompanied by MUC1 repression and ZEB1 expression. J. Biol. Chem. 277, 39209–39216 (2002).
Tran, D. D., Corsa, C. A., Biswas, H., Aft, R. L. & Longmore, G. D. Temporal and spatial cooperation of Snail1 and Twist1 throughout epithelial-mesenchymal transition predicts for human breast most cancers recurrence. Mol. Most cancers Res. 9, 1644–1657 (2011).
Dave, N. et al. Useful cooperation between Snail1 and twist within the regulation of ZEB1 expression throughout epithelial to mesenchymal transition. J. Biol. Chem. 286, 12024–12032 (2011).
Kröger, C. et al. Acquisition of a hybrid E/M state is important for tumorigenicity of basal breast most cancers cells. Proc. Natl Acad. Sci. USA 116, 7353–7362 (2019).
Turing, A. M. The chemical foundation of morphogenesis. Philos. Trans. R. Soc. Lond. B 237, 37–72 (1952).
Madamanchi, A., Mullins, M. C. & Umulis, D. M. Range and robustness of bone morphogenetic protein sample formation. Growth 148, dev192344 (2021).
Jackson, E. L. et al. Evaluation of lung tumor initiation and development utilizing conditional expression of oncogenic Okay-ras. Genes Dev. 15, 3243–3248 (2001).
Marino, S., Vooijs, M., van Der Gulden, H., Jonkers, J. & Berns, A. Induction of medulloblastomas in p53-null mutant mice by somatic inactivation of Rb within the exterior granular layer cells of the cerebellum. Genes Dev. 14, 994–1004 (2000).
Hingorani, S. R. et al. Preinvasive and invasive ductal pancreatic most cancers and its early detection within the mouse. Most cancers Cell 4, 437–450 (2003).
Srinivas, S. et al. Cre reporter strains produced by focused insertion of EYFP and ECFP into the ROSA26 locus. BMC Dev. Biol. 1, 4 (2001).
Flanagan, S. P. ‘Nude’, a brand new hairless gene with pleiotropic results within the mouse. Genet. Res. 8, 295–309 (1966).
Wang, F. et al. RNAscope: a novel in situ RNA evaluation platform for formalin-fixed, paraffin-embedded tissues. J. Mol. Diagn. 14, 22–29 (2012).
Boj, S. F. et al. Organoid fashions of human and mouse ductal pancreatic most cancers. Cell 160, 324–338 (2015).
Yusa, Okay., Zhou, L., Li, M. A., Bradley, A. & Craig, N. L. A hyperactive piggyBac transposase for mammalian functions. Proc. Natl Acad. Sci. USA 108, 1531–1536 (2011).
Fujii, M., Matano, M., Nanki, Okay. & Sato, T. Environment friendly genetic engineering of human intestinal organoids utilizing electroporation. Nat. Protoc. 10, 1474–1485 (2015).
Ramachandran, A. et al. TGF-β makes use of a novel mode of receptor activation to phosphorylate SMAD1/5 and induce epithelial-to-mesenchymal transition. eLife 7, e31756 (2018).
Kechin, A., Boyarskikh, U., Kel, A. & Filipenko, M. cutPrimers: a brand new device for correct chopping of primers from reads of focused subsequent technology sequencing. J. Comput. Biol. 24, 1138–1143 (2017).
Li, B. & Dewey, C. N. RSEM: correct transcript quantification from RNA-seq information with or with out a reference genome. BMC Bioinform. 12, 323 (2011).
Dobin, A. et al. STAR: ultrafast common RNA-seq aligner. Bioinformatics 29, 15–21 (2013).
Aken, B. L. et al. Ensembl 2017. Nucleic Acids Res. 45, D635–D642 (2017).
Love, M. I., Huber, W. & Anders, S. Moderated estimation of fold change and dispersion for RNA-seq information with DESeq2. Genome Biol. 15, 550 (2014).
Kim, D., Paggi, J. M., Park, C., Bennett, C. & Salzberg, S. L. Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype. Nat. Biotechnol. 37, 907–915 (2019).
Howe, Okay. L. et al. Ensembl 2021. Nucleic Acids Res. 49, D884–D891 (2021).
Jolliffe, I. T. & Cadima, J. Principal part evaluation: a evaluation and up to date developments. Philos. Trans. A 374, 20150202 (2016).
Durinck, S. et al. BioMart and Bioconductor: a strong hyperlink between organic databases and microarray information evaluation. Bioinformatics 21, 3439–3440 (2005).
Hoshida, Y. Nearest template prediction: a single-sample-based versatile class prediction with confidence evaluation. PLoS ONE 5, e15543 (2010).
Reich, M. et al. GenePattern 2.0. Nat. Genet. 38, 500–501 (2006).
Subramanian, A. et al. Gene set enrichment evaluation: a knowledge-based strategy for decoding genome-wide expression profiles. Proc. Natl Acad. Sci. USA 102, 15545–15550 (2005).
Elyada, E. et al. Cross-species single-cell evaluation of pancreatic ductal adenocarcinoma reveals antigen-presenting cancer-associated fibroblasts. Most cancers Discov. 9, 1102–1123 (2019).
Liberzon, A. et al. The Molecular Signatures Database (MSigDB) hallmark gene set assortment. Cell Syst. 1, 417–425 (2015).
Kanehisa, M. & Goto, S. KEGG: Kyoto Encyclopedia of Genes and Genomes. Nucleic Acids Res. 28, 27–30 (2000).
Ashburner, M. et al. Gene Ontology: device for the unification of biology. Nat. Genet. 25, 25–29 (2000).
Peng, J. et al. Single-cell RNA-seq highlights intra-tumoral heterogeneity and malignant development in pancreatic ductal adenocarcinoma. Cell Res. 29, 725–738 (2019).
Butler, A., Hoffman, P., Smibert, P., Papalexi, E. & Satija, R. Integrating single-cell transcriptomic information throughout completely different situations, applied sciences, and species. Nat. Biotechnol. 36, 411–420 (2018).
Liberzon, A. et al. Molecular signatures database (MSigDB) 3.0. Bioinformatics 27, 1739–1740 (2011).
Huang da, W., Sherman, B. T. & Lempicki, R. A. Systematic and integrative evaluation of huge gene lists utilizing DAVID bioinformatics sources. Nat. Protoc. 4, 44–57 (2009).
Fornes, O. et al. JASPAR 2020: replace of the open-access database of transcription issue binding profiles. Nucleic Acids Res. 48, D87–d92 (2020).
Ghandi, M. et al. Subsequent-generation characterization of the Most cancers Cell Line Encyclopedia. Nature 569, 503–508 (2019).