11/26 Proteomics-Part A 2DE and Image analysis

2D (MW,PI)
Step1: Posing the question
Step2:The start point
Step3:get useful information
Step4: Creating a knowledgebase of interaction
Step5: Fitting the diverse data together
Step6: Looking for enrichment
Step7: Summarizing the disease profile
Step8: Interpreting proteomic profiles in a network framework
Step9 : filling the gap

每次實驗步驟統一，才能得到一致的結果

冰山理論:
冰山下是未知蛋白的表現量

如果做40% surcose gradient
配40%surcose 拿去凍起來
再拿出來退凍，形成自然的gradient

用強酸強鹼BUFFER形成gradient
通電後，Sample會跑到等電點

Melanie viewer

選取範圍
用3d view

Global show profile

進入MASCOT Peptide Mass Fingerprint

PyMol and ExPasy

ExPasy
UniPortKB

確認PI值

選擇 

• protein characterisation and function

Prosite-看protein domain

• families, patterns and profiles

選擇 protein structure知道2級結構APSSP

Jpred

protein data bank

function

sequence

Pymol- plugin 最下面可直接用網路搜尋蛋白質結構

　藍氮 紅氧 黃硫

wizard demo representation

PyMol wiki

2AVU

show cartoon

hide line 

back: white

輸入 Color Red, chain F

11/5 In silico miRNA prediction & miRNA tools

siRNA主要是人為或病毒造成的

並非本來會自然存在的

直接把Target mRNA切斷

miRNA則是抑制轉譯

miRTarBase 可用來找什麼miRNA已經被Publish

EX: miR-377

點最上面 Interactive Predictions

HomeWork