Cargando…

A Next-generation Tissue Microarray (ngTMA) Protocol for Biomarker Studies

Biomarker research relies on tissue microarrays (TMA). TMAs are produced by repeated transfer of small tissue cores from a ‘donor’ block into a ‘recipient’ block and then used for a variety of biomarker applications. The construction of conventional TMAs is labor intensive, imprecise, and time-consu...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zlobec, Inti, Suter, Guido, Perren, Aurel, Lugli, Alessandro
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MyJove Corporation 2014
Materias:	Medicine
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4828107/ https://www.ncbi.nlm.nih.gov/pubmed/25285857 http://dx.doi.org/10.3791/51893

Ejemplares similares

Next-generation tissue microarray (ngTMA) increases the quality of biomarker studies: an example using CD3, CD8, and CD45RO in the tumor microenvironment of six different solid tumor types
por: Zlobec, Inti, et al.
Publicado: (2013)

Correlation of Vascular Endothelial Growth Factor subtypes and their receptors with melanoma progression: A next-generation Tissue Microarray (ngTMA) automated analysis
por: Seyed Jafari, S. Morteza, et al.
Publicado: (2018)

Loss of Raf-1 kinase inhibitor protein (RKIP) is strongly associated with high-grade tumor budding and correlates with an aggressive phenotype in pancreatic ductal adenocarcinoma (PDAC)
por: Karamitopoulou, Eva, et al.
Publicado: (2013)

Classification of colorectal tissue images from high throughput tissue microarrays by ensemble deep learning methods
por: Nguyen, Huu-Giao, et al.
Publicado: (2021)

Accumulation of FOXP3+T-cells in the tumor microenvironment is associated with an epithelial-mesenchymal-transition-type tumor budding phenotype and is an independent prognostic factor in surgically resected pancreatic ductal adenocarcinoma
por: Wartenberg, Martin, et al.
Publicado: (2015)

Evaluation of Tumor Budding in Primary Colorectal Cancer and Corresponding Liver Metastases Based on H&E and Pancytokeratin Staining
por: Blank, Annika, et al.
Publicado: (2019)

TmaDB: a repository for tissue microarray data
por: Sharma-Oates, Archana, et al.
Publicado: (2005)

Tumor Heterogeneity in Primary Colorectal Cancer and Corresponding Metastases. Does the Apple Fall Far From the Tree?
por: Blank, Annika, et al.
Publicado: (2018)

Progression Model Tissue Microarray (TMA) for the Study of Uterine Carcinomas
por: Arafa, Mohammad, et al.
Publicado: (2010)

Epithelial mesenchymal transition and tumor budding in aggressive colorectal cancer: Tumor budding as oncotarget
por: Zlobec, Inti, et al.
Publicado: (2010)

The battle for prognosis at the invasive front of colorectal cancer
por: Lugli, Alessandro, et al.
Publicado: (2020)

Real‐life data from standardized preanalytical coding (SPREC) in tissue biobanking and its dual use for sample characterization and process optimization
por: Skoworonska, Magdalena, et al.
Publicado: (2022)

Tissue MicroArray (TMA) analysis of normal and persistent Chlamydophila pneumoniae infection
por: Borel, Nicole, et al.
Publicado: (2006)

Identification of New Players in Hepatocarcinogenesis: Limits and Opportunities of Using Tissue Microarray (TMA)
por: Quagliata, Luca, et al.
Publicado: (2014)

Lagrange-NG: The next generation of Lagrange
por: Bettisworth, Ben, et al.
Publicado: (2023)

Tissue Microarray Technology for Molecular Applications: Investigation of Cross-Contamination between Tissue Samples Obtained from the Same Punching Device
por: Vassella, Erik, et al.
Publicado: (2015)

TMA Navigator: network inference, patient stratification and survival analysis with tissue microarray data
por: Lubbock, Alexander L. R., et al.
Publicado: (2013)

TMA-Mate: An open-source modular toolkit for constructing tissue microarrays of arbitrary layouts
por: Pazaitis, Nikolaos, et al.
Publicado: (2023)

Cell Line Derived Xenograft Mouse Models Are a Suitable in vivo Model for Studying Tumor Budding in Colorectal Cancer
por: Georges, Laurent M. C., et al.
Publicado: (2019)

Construction and analysis of tissue microarrays in the era of digital pathology: a pilot study targeting CDX1 and CDX2 in a colon cancer cohort of 612 patients
por: Nolte, Sarah, et al.
Publicado: (2017)

Tumour budding and its clinical implications in gastrointestinal cancers
por: Zlobec, Inti, et al.
Publicado: (2020)

Image microarrays derived from tissue microarrays (IMA-TMA): New resource for computer-aided diagnostic algorithm development
por: Hipp, Jennifer A., et al.
Publicado: (2012)

Technical Feasibility of Tissue Microarray (TMA) Analysis of Tumor-Associated Immune Response in Prostate Cancer
por: Wallace, Timothy J., et al.
Publicado: (2018)

ATG5 is induced by DNA-damaging agents and promotes mitotic catastrophe independent of autophagy
por: Maskey, Dipak, et al.
Publicado: (2013)

Role of Intra- and Peritumoral Budding in the Interdisciplinary Management of Rectal Cancer Patients
por: Zlobec, Inti, et al.
Publicado: (2012)

Check Point NG : next generation security administration
por: Simonis, Drew
Publicado: (2002)

A Digital Pathology-Based Shotgun-Proteomics Approach to Biomarker Discovery in Colorectal Cancer
por: Zahnd, Stefan, et al.
Publicado: (2019)

Tumor Budding in Upper Gastrointestinal Carcinomas
por: Koelzer, Viktor H., et al.
Publicado: (2014)

Characterization of CDKN2A(p16) methylation and impact in colorectal cancer: systematic analysis using pyrosequencing
por: Bihl, Michel P, et al.
Publicado: (2012)

The tissue microarray data exchange specification: Extending TMA DES to provide flexible scoring and incorporate virtual slides
por: Wright, Alexander, et al.
Publicado: (2011)

Next Generation Java Testing: TestNG and Advanced Concepts
por: Beust, Cédric, et al.
Publicado: (2008)

NG-Circos: next-generation Circos for data visualization and interpretation
por: Cui, Ya, et al.
Publicado: (2020)

Role of the VEGF ligand to receptor ratio in the progression of mismatch repair-proficient colorectal cancer
por: Eppenberger, Manuela, et al.
Publicado: (2010)

A TMA De-Arraying Method for High Throughput Biomarker Discovery in Tissue Research
por: Wang, Yinhai, et al.
Publicado: (2011)

NG6: Integrated next generation sequencing storage and processing environment
por: Mariette, Jérôme, et al.
Publicado: (2012)

TMA for all: a new method for the construction of tissue microarrays without recipient paraffin block using custom-built needles
por: Pires, Andréa Rodrigues Cordovil, et al.
Publicado: (2006)

Editorial: Computational Pathology
por: Bozorgtabar, Behzad, et al.
Publicado: (2020)

Stratification and Prognostic Relevance of Jass’s Molecular Classification of Colorectal Cancer
por: Zlobec, Inti, et al.
Publicado: (2012)

Loss of tapasin correlates with diminished CD8(+) T-cell immunity and prognosis in colorectal cancer
por: Sokol, Lena, et al.
Publicado: (2015)

Heterogeneity analysis of Metastasis Associated in Colon Cancer 1 (MACC1) for survival prognosis of colorectal cancer patients: a retrospective cohort study
por: Koelzer, Viktor H, et al.
Publicado: (2015)

Cannot write session to /tmp/vufind_sessions/sess_4qlr1l9u44787c0ngg24ri4ur8