 Tissue Array Analysis
"Tissue Array Analysis" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
The simultaneous analysis of multiple samples of TISSUES or CELLS from BIOPSY or in vitro culture that have been arranged in an array format on slides or microchips.
| Descriptor ID |
D046888
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| MeSH Number(s) |
E05.196.630.570.850 E05.588.570.850
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| Concept/Terms |
Tissue Array Analysis- Tissue Array Analysis
- Analyses, Tissue Array
- Analysis, Tissue Array
- Array Analyses, Tissue
- Array Analysis, Tissue
- Tissue Array Analyses
Cell Array Analysis- Cell Array Analysis
- Analyses, Cell Array
- Analysis, Cell Array
- Array Analyses, Cell
- Array Analysis, Cell
- Cell Array Analyses
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Below are MeSH descriptors whose meaning is more general than "Tissue Array Analysis".
Below are MeSH descriptors whose meaning is more specific than "Tissue Array Analysis".
This graph shows the total number of publications written about "Tissue Array Analysis" by people in this website by year, and whether "Tissue Array Analysis" was a major or minor topic of these publications.
To see the data from this visualization as text, click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 2005 | 0 | 1 | 1 | | 2006 | 0 | 4 | 4 | | 2007 | 1 | 4 | 5 | | 2008 | 1 | 3 | 4 | | 2009 | 0 | 3 | 3 | | 2010 | 0 | 5 | 5 | | 2011 | 1 | 7 | 8 | | 2012 | 1 | 7 | 8 | | 2013 | 2 | 3 | 5 | | 2014 | 0 | 5 | 5 | | 2015 | 1 | 1 | 2 | | 2016 | 0 | 6 | 6 | | 2017 | 0 | 6 | 6 | | 2018 | 0 | 2 | 2 | | 2019 | 0 | 1 | 1 | | 2020 | 1 | 0 | 1 |
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Below are the most recent publications written about "Tissue Array Analysis" by people in Profiles.
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Pandey S, Takahama M, Gruenbaum A, Zewde M, Cheronis K, Chevrier N. A whole-tissue RNA-seq toolkit for organism-wide studies of gene expression with PME-seq. Nat Protoc. 2020 04; 15(4):1459-1483.
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Setia N, Ahn S, Han HS, Park DY, Lauwers GY. Predictive value of WHO classification for PD-L1 and Her2/Neu expression and distinct associations with protein expression based classification in gastric carcinoma. Hum Pathol. 2019 12; 94:64-70.
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Tanyeri M, Tay S. Viable cell culture in PDMS-based microfluidic devices. Methods Cell Biol. 2018; 148:3-33.
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Bhanvadia RR, VanOpstall C, Brechka H, Barashi NS, Gillard M, McAuley EM, Vasquez JM, Paner G, Chan WC, Andrade J, De Marzo AM, Han M, Szmulewitz RZ, Vander Griend DJ. MEIS1 and MEIS2 Expression and Prostate Cancer Progression: A Role For HOXB13 Binding Partners in Metastatic Disease. Clin Cancer Res. 2018 08 01; 24(15):3668-3680.
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Tretiakova M, Fulton R, Kocherginsky M, Long T, Ussakli C, Antic T, Gown A. Concordance study of PD-L1 expression in primary and metastatic bladder carcinomas: comparison of four commonly used antibodies and RNA expression. Mod Pathol. 2018 04; 31(4):623-632.
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Mantilla JG, Antic T, Tretiakova M. GATA3 as a valuable marker to distinguish clear cell papillary renal cell carcinomas from morphologic mimics. Hum Pathol. 2017 08; 66:152-158.
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Shelton J, Purgina BM, Cipriani NA, Dupont WD, Plummer D, Lewis JS. p16 immunohistochemistry in oropharyngeal squamous cell carcinoma: a comparison of antibody clones using patient outcomes and high-risk human papillomavirus RNA status. Mod Pathol. 2017 09; 30(9):1194-1203.
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Rolle CE, Tan YC, Seiwert TY, Vora S, Kanteti R, Hasina R, Carey GB, Surati M, Weichselbaum RR, Lingen MW, Vokes EE, Salgia R. Expression and mutational analysis of c-CBL and its relationship to the MET receptor in head and neck squamous cell carcinoma. Oncotarget. 2017 Mar 21; 8(12):18726-18734.
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Sundaram KM, Zhang Y, Mitra AK, Kouadio JK, Gwin K, Kossiakoff AA, Roman BB, Lengyel E, Piccirilli JA. Prolactin Receptor-Mediated Internalization of Imaging Agents Detects Epithelial Ovarian Cancer with Enhanced Sensitivity and Specificity. Cancer Res. 2017 04 01; 77(7):1684-1696.
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Ahn S, Lee SJ, Kim Y, Kim A, Shin N, Choi KU, Lee CH, Huh GY, Kim KM, Setia N, Lauwers GY, Park DY. High-throughput Protein and mRNA Expression-based Classification of Gastric Cancers Can Identify Clinically Distinct Subtypes, Concordant With Recent Molecular Classifications. Am J Surg Pathol. 2017 01; 41(1):106-115.
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