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Critical Reviews™ in Eukaryotic Gene Expression

Publicado 6 números por año

ISSN Imprimir: 1045-4403

ISSN En Línea: 2162-6502

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.6 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 2.2 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.3 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00058 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.33 SJR: 0.345 SNIP: 0.46 CiteScore™:: 2.5 H-Index: 67

Indexed in

The Utilization of Nuclear Matrix Proteins for Cancer Diagnosis

Volumen 6, Edición 2-3, 1996, pp. 103-113
DOI: 10.1615/CritRevEukarGeneExpr.v6.i2-3.10
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SINOPSIS

There is a great need for improved biomarkers in the areas of cancer diagnosis and treatment. Cancer-specific nuclear matrix proteins may provide clinicians with improved biomarkers for earlier diagnosis as well as improved therapies. The nuclear matrix is the RNA-protein skeleton of the nucleus that has structural and functional roles within the cell. Nuclear matrix proteins of a variety of cell lines and tissues, both normal and cancerous, have now been examined and are beginning to be characterized. After comparison of tumor and normal cell nuclear matrix protein compositions, it has been determined that there are a set of proteins common to all tissues as well as distinct tissue-specific and cancer-specific differences. It is these protein differences that provide possible novel biomarkers that may allow for earlier detection of cancer and thus potentially increase the chance of survival.

CITADO POR
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  15. KONETY BADRINATH R., NANGIA AJAY K., NGUYEN THU-SUONG T., VEITMEIER BARBARA N., DHIR RAJIV, ACIERNO JAMES S., BECICH MICHAEL J., HREBINKO RONALD L., GETZENBERG ROBERT H., IDENTIFICATION OF NUCLEAR MATRIX PROTEIN ALTERATIONS ASSOCIATED WITH RENAL CELL CARCINOMA, Journal of Urology, 159, 4, 1998. Crossref

  16. LAKSHMANAN YEGAPPAN, SUBONG ERIC N.P., PARTIN ALAN W., DIFFERENTIAL NUCLEAR MATRIX PROTEIN EXPRESSION IN PROSTATE CANCERS: CORRELATION WITH PATHOLOGIC STAGE, Journal of Urology, 159, 4, 1998. Crossref

  17. Pannek Jürgen, Lakshmanan Yegappan, Pound Charles R, Lemkin Peter F, Epstein Jonathan I, Partin Alan W, Nuclear shape and nuclear matrix protein composition in prostate and seminal vesicles, Urology, 54, 5, 1999. Crossref

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  19. Farkas Daniel L., Spectral Microscopy for Quantitative Cell and Tissue Imaging, in Methods in Cellular Imaging, 2001. Crossref

  20. Kośliński Piotr, Pluskota Robert, Mądra-Gackowska Katarzyna, Gackowski Marcin, Markuszewski Michał J., Kędziora-Kornatowska Kornelia, Koba Marcin, Comparison of Pteridine Normalization Methods in Urine for Detection of Bladder Cancer, Diagnostics, 10, 9, 2020. Crossref

  21. Puri Deepika, Swamy Ch V. B., Dhawan Jyotsna, Mishra Rakesh K., Comparative nuclear matrix proteome analysis of skeletal muscle cells in different cellular states, Cell Biology International, 45, 3, 2021. Crossref

  22. Akileswaran Lakshmi, Taraska Justin W., Sayer Jonathan A., Gettemy Jessica M., Coghlan Vincent M., A-kinase-anchoring Protein AKAP95 Is Targeted to the Nuclear Matrix and Associates with p68 RNA Helicase, Journal of Biological Chemistry, 276, 20, 2001. Crossref

  23. Spencer Virginia A., Coutts Amanda S., Samuel Shanti K., Murphy Leigh C., Davie James R., Estrogen Regulates the Association of Intermediate Filament Proteins with Nuclear DNA in Human Breast Cancer Cells, Journal of Biological Chemistry, 273, 44, 1998. Crossref

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