Literatura académica sobre el tema "Molecular medicine, gene expression analysis, clinical samples, technical optimization"
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Artículos de revistas sobre el tema "Molecular medicine, gene expression analysis, clinical samples, technical optimization"
García Aranda, Marilina, Inmaculada López-Rodríguez, Susana García-Gutiérrez, Maria Padilla-Ruiz, Vanessa de Luque, Maria Luisa Hortas, Tatiana Diaz, Martina Álvarez, Isabel Barragan-Mallofret y Maximino Redondo. "Laboratory protocol for the digital multiplexed gene expression analysis of nasopharyngeal swab samples using the NanoString nCounter system". F1000Research 11 (30 de septiembre de 2022): 133. http://dx.doi.org/10.12688/f1000research.103533.2.
Texto completoGarcía Aranda, Marilina, Inmaculada López-Rodríguez, Susana García-Gutiérrez, Maria Padilla-Ruiz, Vanessa de Luque, Maria Luisa Hortas, Tatiana Diaz, Martina Álvarez, Isabel Barragan-Mallofret y Maximino Redondo. "Laboratory protocol for the digital multiplexed gene expression analysis of nasopharyngeal swab samples using the NanoString nCounter system". F1000Research 11 (2 de febrero de 2022): 133. http://dx.doi.org/10.12688/f1000research.103533.1.
Texto completoBhende, Manisha, Anuradha Thakare, Bhasker Pant, Piyush Singhal, Swati Shinde y V. Saravanan. "Deep Learning-Based Real-Time Discriminate Correlation Analysis for Breast Cancer Detection". BioMed Research International 2022 (28 de junio de 2022): 1–12. http://dx.doi.org/10.1155/2022/4609625.
Texto completoHether, Tyler, Tim Howes, Christine Spencer, Travis Hollman, Jason Reeves, Danny Wells, Claire Friedman, Theresa LaVallee, Jedd Wolchok y Sarah Warren. "305 Technical considerations for normalizing digital spatial profiling data with multiple within-patient samples". Journal for ImmunoTherapy of Cancer 8, Suppl 3 (noviembre de 2020): A332. http://dx.doi.org/10.1136/jitc-2020-sitc2020.0305.
Texto completoWilliams, Marc A. "Article Commentary: Stabilizing the Code–-Methods to Preserve RNA Prove Their Worth". Biomarker Insights 5 (enero de 2010): BMI.S6094. http://dx.doi.org/10.4137/bmi.s6094.
Texto completoTeng, Pai-Chi, Yu Jen Jan, Jie-Fu Chen, Minhyung Kim, Nu Yao, Isla Garraway, Gina Chia-Yi Chu et al. "Prostate cancer CTC-RNA Assay: A new method for contemporary genomics and precision medicine via liquid biopsy." Journal of Clinical Oncology 38, n.º 6_suppl (20 de febrero de 2020): 170. http://dx.doi.org/10.1200/jco.2020.38.6_suppl.170.
Texto completoZhang, Kefen, Kaisheng Xie, Xin Huo, Lianlian Liu, Jilin Liu, Chao Zhang y Jun Wang. "Development and Optimization of a Prognostic Model Associated with Stemness Genes in Hepatocellular Carcinoma". BioMed Research International 2022 (5 de octubre de 2022): 1–28. http://dx.doi.org/10.1155/2022/9168441.
Texto completoXu, Congdi, Xinyu Hu, Yantao Fan, Ling Zhang, Zhengliang Gao y Chunhui Cai. "Wif1 Mediates Coordination of Bone Morphogenetic Protein and Wnt Signaling in Neural and Glioma Stem Cells". Cell Transplantation 31 (enero de 2022): 096368972211345. http://dx.doi.org/10.1177/09636897221134540.
Texto completoHarding, Taylor, Qidi Yang, Brittany Mineo, Jenna Malinauskas, Jason Perera, Karl Beutner, Denise Lau y Aly Khan. "73 Characterization of tumor-infiltrating T-cell repertoire in human cancers". Journal for ImmunoTherapy of Cancer 9, Suppl 2 (noviembre de 2021): A81. http://dx.doi.org/10.1136/jitc-2021-sitc2021.073.
Texto completoRudqvist, Nils-Petter, Roberta Zappasodi, Daniel Wells, Vésteinn Thorsson, Alexandria Cogdill, Anne Monette, Yana Najjar et al. "P854 Construction of the immune landscape of durable response to checkpoint blockade therapy by integrating publicly available datasets". Journal for ImmunoTherapy of Cancer 8, Suppl 1 (abril de 2020): A5.2—A6. http://dx.doi.org/10.1136/lba2019.8.
Texto completoTesis sobre el tema "Molecular medicine, gene expression analysis, clinical samples, technical optimization"
Dotti, Isabella. "Towards molecular medicine:optimization of the methods for gene expression analysis in clinical samples". Doctoral thesis, Università degli studi di Trieste, 2008. http://hdl.handle.net/10077/2626.
Texto completoThe advent of molecular “-omics” technologies enabled an unprecedented view into the inner molecular mechanisms of cancer and enhanced optimism towards a patient-tailored vision of medicine. The successful application of these molecular approaches in the discovery of candidate biomarker has accelerated the shift towards personalization of medicine. Indeed, biomarkers hold great promise for refining our ability to establish early diagnosis and prognosis, and to predict response to therapy. The develoment of clinically useful biomarkers would be impossible without access to human biological specimens and associated patient data, since they complete the molecular information gained from laboratory research. Furthermore, with the advances of sensitive molecular technologies, human bio-specimens can be now successfully used for wide analysis at all molecular levels (DNA, RNA and proteins), in addition to conventional cytologic and histologic investigations. However, despite the hundreds of reports on tumor markers, only a few markers have proven clinically useful. The insufficient experience in clinical application of molecular methods combined with the high complexity of clinical material represent the major obstacles for the development of clinically useful biomarkers. Thanks to the possibility to have access to the fresh and archival samples from the hospital, our laboratory can investigate the potential of technological innovations and the current technical pitfalls directly on clinical material. The work in my thesis is strictly correlated to this activity. In particular, the first part is focused on the technical optimization of molecular methods for gene expression analysis in biological fluids and especially in urine samples. In this context we validated a new experimental kit for total RNA extraction from urine samples and tested the potential of a colorimetric approach for PCR product detection. The major part of the study is focused on the technical optimization of molecular methods for gene expression analysis in archival material. This activity is in step with one of the main objectives of the European project called “Archive tissues: improving molecular medicine research and clinical practice-IMPACTS”, in which my laboratory and other 20 European centres are directly involved. In this phase the comparison of the experiences between laboratories and their active collaboration are essential for a more rapid validation of protocols dedicated to RNA (but also DNA and protein) analysis. In particular, we investigated some molecular aspects involved in the pre-analytical phase (tissue fixation procedures) and analytical phase (RNA extraction, RNA quantification and integrity assessment, qRT-PCR) of tissue processing. The final objective of this activity will be the definition of common technical guidelines for a reliable quantification of molecular biomarkers for diagnosis, prognosis and therapy directly in human archival samples. Finally, my thesis includes the clinical application of molecular methods for the quantification of candidate biomarkers in two archival case studies (a breast cancer and an adrenal gland cancer case study). In the breast cancer case study we showed that a panel of seven genes (involved in different cell pathways) is associated to patients’ survival. The adrenal gland tumor case study is part of a preliminary study about the angiogenetic process in rare human cancers.
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