蛋白質體分析

Proteomics analysis

服務代號

Service Code

服務項目

Service Items

校院內 (NTD$)

Internal (NCKU/NCKUH)

校外 (NTD$)

External (Academic Users)

酶解消化與去鹽處理(胰蛋白酶消化，含ZipTip去鹽)

Enzymatic Digestion and Desalting (tryptic digestion with ZipTip desalting)

質譜分析：蛋白質鑑定(DDA；鑑定性分析)

MS Analysis: Protein Identification (DDA; identification only)

質譜分析：非標記相對定量蛋白質體學 (DDA模式)

MS Analysis: Label-free Relative Quantitative Proteomics (DDA mode)

質譜分析：非標記相對定量蛋白質體學 (DIA模式)

MS Analysis: Label-free Relative Quantitative Proteomics (DIA mode)

基礎數據分析（資料庫搜尋、蛋白質鑑定與相對定量結果彙整，提供Excel格式報表）

Basic Data Analysis (Database search, protein identification and relative quantification summary with Excel report)

1,500/batch

*Applicable to ≤20 samples/≤3 groups; beyond this scope upon request

3,000/batch

*Applicable to ≤20 samples/≤3 groups; beyond this scope upon request

進階差異蛋白質體學分析（於基礎數據分析結果之上，進行組間統計比較、差異表現檢定，並搭配功能/訊息路徑註解與視覺化呈現）

Advanced Differential Proteomics Analysis (Building upon the basic data analysis results, including between-group statistical comparison, differential expression testing, and functional/pathway annotation with visualization)

5,000/batch

*Applicable to ≤20 samples/≤3 groups; beyond this scope upon request

8,000/batch

*Applicable to ≤20 samples/≤3 groups; beyond this scope upon request

特殊實驗設計諮詢（樣本種類或實驗設計超出上述標準服務範圍者，需事先與平台管理人討論）

Special Experimental Design Consultation (for sample types or experimental designs beyond the standard services listed above; please consult with the platform manager in advance)

洽詢平台管理人

Please contact platform manager

洽詢平台管理人

Please contact platform manager

※ DDA (Data-dependent Acquisition)：儀器在每個循環中自動選取訊號最強的前驅離子進行MS/MS分析，適合蛋白質鑑定及小規模無標記定量分析。

※ DIA (Data-independent Acquisition)：預先設定m/z區間，同時取得各區段內所有離子的MS/MS數據，適合大規模、高重現性的無標記相對定量分析。

※ DDA (Data-dependent Acquisition): The instrument automatically selects the most intense precursor ions for MS/MS analysis in each cycle; well-suited for protein identification and smaller-scale label-free quantification.

※ DIA (Data-independent Acquisition): Uses predefined m/z windows to simultaneously collect MS/MS data for all ions in each window; ideal for large-scale, highly reproducible label-free relative quantification.