The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Tissue microarray (TMA) technology: miniaturized pathology archives for high-throughputin situ studies
Open accessAbstract
Tissue microarray (TMA) technology allows a massive acceleration of studies correlating molecular in situ findings with clinico-pathological information. In this technique, cylindrical tissue samples are taken from up to 1000 different archival tissue blocks and subsequently placed into one empty 'recipient' paraffin block. Sections from TMA blocks can be used for all different types of in situ tissue analyses including immunohistochemistry and in situ hybridization. Multiple studies have demonstrated that findings obtained on TMAs are highly representative of their donor tissues, despite the small size of the individual specimens (diameter 0.6 mm). It is anticipated that TMAs will soon become a widely used tool for all types of tissue-based research. The availability of TMAs containing highly characterized tissues will enable every researcher to perform studies involving thousands of tumours rapidly. Therefore, TMAs will lead to a significant acceleration of the transition of basic research findings into clinical applications.
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Cites
Tissue microarrays for high-throughput molecular profiling of tumor specimens
Kononen, J., Bubendorf, L., Kallionimeni, A., Bärlund, M., Schraml, P., Leighton, S., Torhorst, J., Mihatsch, M. J., Sauter, G., & Kallionimeni, O.-P. (1998) · Nature Medicine · doi:10.1038/nm0798-844 · Cited by 4,099
Self-citationUse of a cDNA microarray to analyse gene expression patterns in human cancer
(1996) · Nature Genetics · doi:10.1038/ng1296-457 · Cited by 1,951
Expression profiling using cDNA microarrays
Duggan, D. J., Bittner, M., Chen, Y., Meltzer, P., & Trent, J. M. (1999) · Nature Genetics · doi:10.1038/4434 · Cited by 1,657
Bubendorf, L., Kononen, J., Koivisto, P. A., Schraml, P., Moch, H., Gasser, T. C., Willi, N., Mihatsch, M. J., Sauter, G., & Kallioniemi, O. (1999) · PubMed · Cited by 594
Self-citationTissue microarrays for gene amplification surveys in many different tumor types.
Schraml, P., Kononen, J., Bubendorf, L., Moch, H., Bissig, H., Nocito, A., Mihatsch, M. J., Kallioniemi, O., & Sauter, G. (1999) · PubMed · Cited by 433
Self-citationMoch, H., Schraml, P., Bubendorf, L., Mirlacher, M., Kononen, J., Gasser, T., Mihatsch, M. J., Kallioniemi, O. P., & Sauter, G. (1999) · The American Journal of Pathology · doi:10.1016/s0002-9440(10)65349-7 · Cited by 391
Self-citationThe multitumor (sausage) tissue block: novel method for immunohistochemical antibody testing.
Battifora, H. A. (1986) · PubMed · Cited by 381
Bubendorf, L., Kolmer, M., Kononen, J., Koivisto, P., Mousses, S., Chen, Y., Mahlamaki, E., Schraml, P., Moch, H., Willi, N., et al. (1999) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/91.20.1758 · Cited by 350
Self-citationBarlund, M., Forozan, F., Kononen, J., Bubendorf, L., Chen, Y., Bittner, M. L., Torhorst, J., Haas, P., Bucher, C., Sauter, G., et al. (2000) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/92.15.1252 · Cited by 275
Self-citationRichter, J., Wagner, U., Kononen, J., Fijan, A., Bruderer, J., Schmid, U., Ackermann, D., Maurer, R., Alund, G., Knönagel, H., et al. (2000) · The American Journal of Pathology · doi:10.1016/s0002-9440(10)64592-0 · Cited by 242
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Went, P. T. H., Lugli, A., Meier, S., Bundi, M., Mirlacher, M., Sauter, G., & Dirnhofer, S. (2004) · Human Pathology · doi:10.1016/j.humpath.2003.08.026 · Cited by 819
Self-citationDifferential Gene Expression of Eph Receptors and Ephrins in Benign Human Tissues and Cancers
Hafner, C., Schmitz, G., Meyer, S., Bataille, F., Hau, P., Langmann, T., Dietmaier, W., Landthaler, M., & Vogt, T. (2004) · Clinical Chemistry · doi:10.1373/clinchem.2003.026849 · Cited by 323
Masiero, M., Simões, F. C., Han, H. D., Snell, C., Peterkin, T., Bridges, E., Mangala, L. S., Wu, S. Y.-Y., Pradeep, S., Li, D., et al. (2013) · Cancer Cell · doi:10.1016/j.ccr.2013.06.004 · Cited by 313
Multistain deep learning for prediction of prognosis and therapy response in colorectal cancer
Foersch, S., Glasner, C., Woerl, A.-C., Eckstein, M., Wagner, D.-C., Schulz, S., Kellers, F., Fernandez, A., Tserea, K., Kloth, M., et al. (2023) · Nature Medicine · doi:10.1038/s41591-022-02134-1 · Cited by 251
High Ep-CAM Expression is Associated with Poor Prognosis in Node-positive Breast Cancer
Spizzo, G., Gastl, G., Obrist, P., Went, P., Dirnhofer, S., Bischoff, S., Mirlacher, M., Sauter, G., Simon, R., Stopatschinskaya, S., et al. (2004) · Breast Cancer Research and Treatment · doi:10.1023/b:brea.0000036787.59816.01 · Cited by 254
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Metadata
- Authors
- Bubendorf, L., Nocito, A., Moch, H., & Sauter, G.
- Venue
- The Journal of Pathology
- Publisher
- Wiley
- Published
- 2001
- Volume
- 195
- Issue
- 1
- Pages
- 72-79
- ISSN
- 0022-3417 (ISSN-L)
- 1096-9896
- OpenAlex
- W2049299149
- Cited by
- 398
- References
- 11
- FWCI
- 30.04
- Type
- journal article
- Language
- en
- Open access
- bronze
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