User:SJyothiK/sandbox
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Article Evaluation[edit]
Cre-Lox recombination [1] article
- article is rated C with mid importance
- there is a warning banner urging the need for additional citations to reliable sources for verification
- the article has a warning banner urging the need for additional citations to reliable sources for verification
- some value statements exist that should be reworded :
- the clear demonstration of its usefulness
- provides the best experimental control that presently exists in transgenic animal modelling to link genotypes to phenotypes
- very short section on implementation of multiple loxP site pairs --> meaning unequal emphasis of subtopics --> could have emphasized experimental usage and breakthroughs discovered using cre-lox recombinase
- a respectable amount of citations do exist, all mainly primary articles of research - maybe use of more textbook links or perspectives articles could be used
- need to clearly explain how the deletions and inversions are functioning seperately not briefly discussing that it just happens in the same sentence
Article Topic Choices[edit]
- stem cell genomics : Talk:Stem cell genomics
- CED9 - CED9 (gene)
- stem cell chip : Stem cell chip
- metabolic imprinting : Metabolic imprinting
- epigenetic code : Talk:Epigenetic code
- segmentation gene: Segmentation gene
- ^ "Cre-Lox recombination". Wikipedia.
Gene Signature Detection Timeline[edit]
In the mid 1990's there were 2 studies conducted that identified unique approaches to analyzing global gene expression of a genome which collectively promoted the value of identifying and analyzing gene signatures for physiological relevance. The first study reports a technique known as Serial Analysis of Gene Expression (SAGE) that hinged on sequencing and quantifying mRNA samples which acquired levels of gene expression that eventually revealed characteristic gene expression patterns.[1]
The second study identified a technique that is now widely known as the microarray which quantifies complementary DNA (cDNA) hybridization on a glass slide to analyze the expression of many genes in parallel. [2] Fast forward to today, this technique has revolutionized research in genetics and DNA chip technology[3] as it is a widely adopted technique to profile gene expression signatures such that these physiological responses can be cataloged[4]. This catalogue of prognostic, diagnostic and predictive gene expression signatures allow for predictions of onset of pathogenic diseases in patients[5], tumour and cancer classification[6], and enhanced therapeutic strategies that predict the optimal target candidates subjects and candidate genes[7].
- ^ Velculescu, V. E.; Zhang, L.; Vogelstein, B.; Kinzler, K. W. (1995-10-20). "Serial analysis of gene expression". Science (New York, N.Y.). 270 (5235): 484–487. ISSN 0036-8075. PMID 7570003.
- ^ Schena, M.; Shalon, D.; Davis, R. W.; Brown, P. O. (1995-10-20). "Quantitative monitoring of gene expression patterns with a complementary DNA microarray". Science (New York, N.Y.). 270 (5235): 467–470. ISSN 0036-8075. PMID 7569999.
- ^ Kurian, K. M.; Watson, C. J.; Wyllie, A. H. (February 1999). "DNA chip technology". The Journal of Pathology. 187 (3): 267–271. doi:10.1002/(SICI)1096-9896(199902)187:33.0.CO;2-#. ISSN 0022-3417. PMID 10398077.
- ^ Lamb, Justin; Crawford, Emily D.; Peck, David; Modell, Joshua W.; Blat, Irene C.; Wrobel, Matthew J.; Lerner, Jim; Brunet, Jean-Philippe; Subramanian, Aravind (2006-09-29). "The Connectivity Map: using gene-expression signatures to connect small molecules, genes, and disease". Science (New York, N.Y.). 313 (5795): 1929–1935. doi:10.1126/science.1132939. ISSN 1095-9203. PMID 17008526.
- ^ Diagnostic, Prognostic and Therapeutic Value of Gene Signatures | SpringerLink. doi:10.1007/978-1-61779-358-5.
- ^ Sørlie, T.; Perou, C. M.; Tibshirani, R.; Aas, T.; Geisler, S.; Johnsen, H.; Hastie, T.; Eisen, M. B.; van de Rijn, M. (2001-09-11). "Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications". Proceedings of the National Academy of Sciences of the United States of America. 98 (19): 10869–10874. doi:10.1073/pnas.191367098. ISSN 0027-8424. PMID 11553815.
- ^ Scherf, U.; Ross, D. T.; Waltham, M.; Smith, L. H.; Lee, J. K.; Tanabe, L.; Kohn, K. W.; Reinhold, W. C.; Myers, T. G. (March 2000). "A gene expression database for the molecular pharmacology of cancer". Nature Genetics. 24 (3): 236–244. doi:10.1038/73439. ISSN 1061-4036. PMID 10700175.