Fen Edebiyat Fakültesi / Faculty of Letters and Science

Permanent URI for this collectionhttps://hdl.handle.net/11727/1396

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    A Partial Epithelial-Mesenchymal Transition Signature For Highly Aggressive Colorectal Cancer Cells That Survive Under Nutrient Restriction
    (JOURNAL OF PATHOLOGY, 2024-01-24) Pastorino, Gil A.; Sheraj, Ilir; Oral, Goksu; Gulec Taskiran, Aliye Ezgi; Palmisano, Ralph; Schneider-Stock, Regine
    Partial epithelial-mesenchymal transition (p-EMT) has recently been identified as a hybrid state consisting of cells with both epithelial and mesenchymal characteristics and is associated with the migration, metastasis, and chemoresistance of cancer cells. Here, we describe the induction of p-EMT in starved colorectal cancer (CRC) cells and identify a p-EMT gene signature that can predict prognosis. Functional characterisation of starvation-induced p-EMT in HCT116, DLD1, and HT29 cells showed changes in proliferation, morphology, and drug sensitivity, supported by in vivo studies using the chorioallantoic membrane model. An EMT-specific quantitative polymerase chain reaction (qPCR) array was used to screen for deregulated genes, leading to the establishment of an in silico gene signature that was correlated with poor disease-free survival in CRC patients along with the CRC consensus molecular subtype CMS4. Among the significantly deregulated p-EMT genes, a triple-gene signature consisting of SERPINE1, SOX10, and epidermal growth factor receptor (EGFR) was identified. Starvation-induced p-EMT was characterised by increased migratory potential and chemoresistance, as well as E-cadherin processing and internalisation. Both gene signature and E-cadherin alterations could be reversed by the proteasomal inhibitor MG132. Spatially resolving EGFR expression with high-resolution immunofluorescence imaging identified a proliferation stop in starved CRC cells caused by EGFR internalisation. In conclusion, we have gained insight into a previously undiscovered EMT mechanism that may become relevant when tumour cells are under nutrient stress, as seen in early stages of metastasis. Targeting this process of tumour cell dissemination might help to prevent EMT and overcome drug resistance. (c) 2024 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
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    Advancements in QTL Mapping and GWAS Application in Plant Improvement
    (TURKISH JOURNAL OF BOTANY, 2024) Altaf, Muhammad Tanveer; Tatar, Muhammed; Ali, Amjad; Liaqat, Waqas; Mortazvi, Parnaz; Kayihan, Ceyhun; Olmez, Fatih; Nadeem, Muhammad Azhar; Javed, Jazib; Gou, Jin-Ying; Wang, Meng-Lu; Umar, Ummad Ud Din; Dasgan, Hayriye Yildiz; Kurt, Cemal; Yildiz, Mehtap; Mansoor, Sheikh; Dababat, Abdelfattah A.; Celiktas, Nafiz; Baloch, Faheem Shehzad
    In modern plant breeding, molecular markers have become indispensable tools, allowing the precise identification of genetic loci linked to key agronomic traits. These markers provide critical insight into the genetic architecture of crops, accelerating the selection of desirable traits for sustainable agriculture. This review focuses on the advancements in quantitative trait locus (QTL) mapping and genome-wide association studies (GWASs), highlighting their effective roles in identifying complex traits such as stress tolerance, yield, disease resistance, and nutrient efficiency. QTL mapping identifies the significant genetic regions linked to desired traits, while GWASs enhance precision using larger populations. The integration of high-throughput phenotyping has further improved the efficiency and accuracyof QTL research and GWASs, enabling precise trait analysis across diverse conditions. Additionally, next-generation sequencing, clustered regularly interspaced short palindromic repeats (CRISPR) technology, and transcriptomics have transformed these methods, offering profound insights into gene function and regulation. Single-cell RNA sequencing further enhances our understanding of plant responses at the cellular level, especially under environmental stress. Despite this progress, however, challenges persist in optimizing methods, refining training populations, and integrating these tools into breeding programs. Future studies must aim to enhance genetic prediction models, incorporate advanced molecular technologies, and refine functional markers to tackle the challenges of sustainable agriculture.