Auswahl der wissenschaftlichen Literatur zum Thema „Biopsy-based transcriptomics“
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Zeitschriftenartikel zum Thema "Biopsy-based transcriptomics"
Ungar, B., M. Yavzori, E. Fudim, O. Picard, U. Kopylov, R. Eliakim, D. Shouval et al. „P032 Host transcriptome signatures in human fecal-washes predict histological remission in IBD patients“. Journal of Crohn's and Colitis 16, Supplement_1 (01.01.2022): i152—i153. http://dx.doi.org/10.1093/ecco-jcc/jjab232.161.
Der volle Inhalt der QuelleDan, S., B. Ungar, S. Ben-Moshe, K. Bahar Halpern, M. Yavzori, E. Fudim, O. Picard et al. „P017 Fecal wash host transcriptomics identifies inflammation throughout the colon and terminal ileum“. Journal of Crohn's and Colitis 17, Supplement_1 (30.01.2023): i188. http://dx.doi.org/10.1093/ecco-jcc/jjac190.0147.
Der volle Inhalt der QuelleVoutetakis, Konstantinos, Aristotelis Chatziioannou, Efstathios S. Gonos und Ioannis P. Trougakos. „Comparative Meta-Analysis of Transcriptomics Data during Cellular Senescence andIn VivoTissue Ageing“. Oxidative Medicine and Cellular Longevity 2015 (2015): 1–17. http://dx.doi.org/10.1155/2015/732914.
Der volle Inhalt der QuelleDinis Fernandes, Catarina, Annekoos Schaap, Joan Kant, Petra van Houdt, Hessel Wijkstra, Elise Bekers, Simon Linder et al. „Radiogenomics Analysis Linking Multiparametric MRI and Transcriptomics in Prostate Cancer“. Cancers 15, Nr. 12 (06.06.2023): 3074. http://dx.doi.org/10.3390/cancers15123074.
Der volle Inhalt der QuelleCherry, Hannah, Joe Rastrick, Joanna Jacków, Maddy Parsons und John McGrath. „O22 Unravelling the pathophysiology of KLICK syndrome to identify therapeutically targetable pathways“. British Journal of Dermatology 190, Nr. 6 (17.05.2024): e78-e79. http://dx.doi.org/10.1093/bjd/ljae105.022.
Der volle Inhalt der QuelleBoldanova, Tuyana, Geoffrey Fucile, Jan Vosshenrich, Aleksei Suslov, Caner Ercan, Mairene Coto-Llerena, Luigi M. Terracciano et al. „Supervised learning based on tumor imaging and biopsy transcriptomics predicts response of hepatocellular carcinoma to transarterial chemoembolization“. Cell Reports Medicine 2, Nr. 11 (November 2021): 100444. http://dx.doi.org/10.1016/j.xcrm.2021.100444.
Der volle Inhalt der QuelleZhang, Yueyun, Carlos Henrique Venturi Ronchi, Giovanna Ambrosini, Yuanlong Liu, Patrick Aouad, Daria Matvienko, Christoph Merten und Cathrin Brisken. „Abstract PO5-14-06: Transcriptomics-based drug screening in 3D ex vivo patient-drived breast cancer model and patient biopsy for personalized therapy“. Cancer Research 84, Nr. 9_Supplement (02.05.2024): PO5–14–06—PO5–14–06. http://dx.doi.org/10.1158/1538-7445.sabcs23-po5-14-06.
Der volle Inhalt der QuelleCimadamore, Alessia, Silvia Gasparrini, Francesco Massari, Matteo Santoni, Liang Cheng, Antonio Lopez-Beltran, Marina Scarpelli und Rodolfo Montironi. „Emerging Molecular Technologies in Renal Cell Carcinoma: Liquid Biopsy“. Cancers 11, Nr. 2 (07.02.2019): 196. http://dx.doi.org/10.3390/cancers11020196.
Der volle Inhalt der QuelleDas, Sreyashi, Mohan Kumar Dey, Ram Devireddy und Manas Ranjan Gartia. „Biomarkers in Cancer Detection, Diagnosis, and Prognosis“. Sensors 24, Nr. 1 (20.12.2023): 37. http://dx.doi.org/10.3390/s24010037.
Der volle Inhalt der Quellevan Bergen, Cornelis A. M., Marvyn T. Koning, Edwin Quinten, Agnieszka Mykowiecka, Julieta Sepulveda, Ramin Monajemi, Ruben A. L. De Groen et al. „High-Throughput BCR Sequencing and Single-Cell Transcriptomics Reveal Distinct Transcriptional Profiles Associated with Subclonal Evolution of Follicular Lymphoma“. Blood 134, Supplement_1 (13.11.2019): 298. http://dx.doi.org/10.1182/blood-2019-130508.
Der volle Inhalt der QuelleDissertationen zum Thema "Biopsy-based transcriptomics"
Nattes, Tristan de. „Rejet humoral d'allogreffe rénale et allo-immunisation HLA“. Electronic Thesis or Diss., Normandie, 2023. http://www.theses.fr/2023NORMR053.
Der volle Inhalt der QuelleKidney transplantation is the best treatment of end-stage renal disease, improving life quality and quantity. Despite advances in pathophysiological knowledge of kidney transplant immunology, kidney transplant rejection remains the major cause of allograft dysfunction, especially antibody-mediated rejection.Antibody-mediated rejection risk assessment is based on the evaluation of donor-specific anti-HLA antibodies. However, these antibodies have a poor predictive value for incidence and prognosis of rejection. This could be explained by the heterogeneity of their intrinsic characteristics. These characteristics depend on cells responsible for their secretion, which include short- and long- lived plasma cells. Consequently, they indirectly depend on the cells responsible for maintaining the pool of these antibody-secreting cells, such as memory B cells. In infectious diseases, it is known that memory B cells are heterogeneous in terms of phenotype, function, degree of clonality, and diversification of their B-cell receptor (BCR). However, this heterogeneity has not been examined in the context of kidney transplantation.The aim of the first part of this thesis was to study the heterogeneity of HLA-specific memory B cells in sensitised patients on kidney transplant waiting list. To this end, single-cell analysis of HLA-specific memory B cells from patients with various aetiologies and degrees of immunisation was performed. This led to their phenotypic and transcriptomic characterisation and to the assessment of their BCR repertoire.The second part of this thesis was dedicated to the diagnosis of kidney transplant rejection.In recent years, biopsy-based transcriptomics has emerged, enabling the assessment of hundreds of transcripts in kidney biopsy tissue. These tools provide the opportunity to elucidate new physiopathological pathways and potentially enhance the diagnosis of rejection, especially humoral rejection. However, their application in clinical practice is still limited due to their restricted availability, required expertise for data processing and interpretation, and cost. Furthermore, their exact impact on patient management remains undetermined. Here, a molecular diagnostic tool with characteristics suitable for clinical use was developed. This tool enables the diagnosis of rejection and its classification between antibody-mediated and T-cell mediated rejection. Subsequently, this tool was assessed in ambiguous clinical situations to evaluate its impact in clinical practice.Through these studies, this thesis focused on enhancing our understanding of the humoral response in renal transplantation, which could help improving immunological risk stratification in transplantation. Additionally, it aimed to improve biopsy-based transcriptomics in the diagnosis of kidney transplant rejection