Team:Stockholm/16 June 2010
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Mathworks offers several tools for computational biology. Knowing the capabilities of them will help in future estimations. | Mathworks offers several tools for computational biology. Knowing the capabilities of them will help in future estimations. | ||
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+ | = Johan = | ||
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+ | * From Falcon Tube with SOD, made glycerol stock and miniprep | ||
+ | - Glycerol Stock: 400 µl of SOD from Falcon Tube, and 800 µl pure glycerol (cutted of end of tip for pipette) | ||
+ | - Miniprep SOD from Falcon Tube | ||
+ | |||
+ | 183,77 ng/µl | ||
+ | 260: 0,037 | ||
+ | 280: 0,022 | ||
+ | 315: 0,004 | ||
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+ | * Streaked vector (pEX) | ||
+ | |||
+ | As nina was unsure what sample of IgG was the new and old one, | ||
+ | * PCR'ed "old" IgG | ||
+ | * Transformed "old" IgG (70 µl, 15 min) | ||
{{Stockholm/Footer}} | {{Stockholm/Footer}} |
Latest revision as of 17:59, 27 October 2010
Hassan
today we started looking into databases to find regulatory network for MITF, our question is: what does it regulate? if it is fused with cpp, will it effect regulation on any gene in E. Coli?
there are many databases that we need to look for:
- MITF regulates not only the expression of enzymes involved in melanin synthesis, but also the expression of a receptor which plays an essential role in melanocyte functions
- Microphthalmia-associated transcription factor (MITF) regulates the differentiation and development of melanocytes and retinal pigment epithelium and is also responsible for pigment cell-specific transcription of the melanogenesis enzyme genes. Review.
- MITF and STAT3 cooperatively induce c-fos, resulting in cellular transformation
- The results of this study demonstrate a role for glutamate in MiTF regulation that may have implications in melanocyte associated disorders.
- Sphingosylphosphorylcholine reduces melanin synthesis via MITF downregulation.
- MITF evokes transcription of a paradigmatic MITF target tyrosinase and show that the adenoviral E1A protein represses the MITF-driven transcription in these cells.
and more on http://www.ncbi.nlm.nih.gov/gene/4286
After talking with Lars about iGEM, he mentioned some databases:
Transfac: transcriptional gene regulation in eukaryotes Consite: http://www.ncbi.nlm.nih.gov/pubmed/15215389 web-based prediction of regulatory elements using cross-species comparison. Jaspar: JASPAR 2010: the greatly expanded open-access database of transcription factor binding profiles. http://jaspar.cgb.ki.se/
I also found this database which is for prokaryotic PRODORIC: prokaryotic database of gene regulation. link for article: http://www.ncbi.nlm.nih.gov/pubmed/12519998
Mathworks offers several tools for computational biology. Knowing the capabilities of them will help in future estimations.
Johan
- From Falcon Tube with SOD, made glycerol stock and miniprep
- Glycerol Stock: 400 µl of SOD from Falcon Tube, and 800 µl pure glycerol (cutted of end of tip for pipette) - Miniprep SOD from Falcon Tube
183,77 ng/µl 260: 0,037 280: 0,022 315: 0,004
- Streaked vector (pEX)
As nina was unsure what sample of IgG was the new and old one,
- PCR'ed "old" IgG
- Transformed "old" IgG (70 µl, 15 min)
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