EV proteomics / cargo analysis

一行要約

EV proteomics / RNA / lipidomics は EV-isolation の下流で EV 内 cargo (protein, mRNA / miRNA / lncRNA / circRNA, lipid, glycan, metabolite) を網羅的に同定 / 定量する手法群。Cancer EV biomarker discovery (血漿 EV protein / miRNA panel での early detection), exosomal PD-L1 と IO 抵抗性, EV organotropism (integrin profile), pre-metastatic niche cargo の機序解析の中核。Single-EV proteomics の発展で EV 亜集団の heterogeneity を解像できるようになり、biomarker translation が加速。

原理

EV-Proteomics

(1) EV isolation (UC, SEC, immunoaffinity)。(2) lysis + tryptic digest → LC-MS/MS (DDA / DIA / TMT label)。(3) MaxQuant / FragPipe で identification, Perseus で quant analysis。(4) Single-EV proteomics: ExoView / SP-IRIS / NanoFCM で single-EV co-localization, SiMoA (single-molecule array) で ultra-sensitive detection。Vesiclepedia / ExoCarta database で reference annotation。

EV-RNA / miRNA

(1) RNA 抽出 (column / TRIzol)。(2) small-RNA-seq (約17-40 nt) で miRNA / piRNA / tRNA fragment 検出。(3) total RNA-seq (rRNA depleted) で mRNA / lncRNA / circRNA。(4) NanoString nCounter で targeted miRNA profile (clinical-friendly)。

EV-Lipidomics

(1) MTBE 脂質抽出。(2) LC-MS で species 同定 (PC, PE, PS, sphingomyelin, ceramide)。(3) LipidSearch / LIPIDMAPS で annotation。

主要エビデンス / 適用領域

  • Cancer EV biomarker: 血漿 EV miRNA panel (NSCLC / SCLC / pancreatic) で early detection
  • Exosomal PD-L1: tumor-derived EV 上の PD-L1 が systemic IO 抵抗性に寄与 (Chen et al. Nature 2018, Poggio et al. Cell 2019)
  • EV integrin organotropism: αvβ5 → liver, α6β4/α6β1 → lung Hoshino et al. Nature 2015 で organ-specific homing 機序
  • Pre-metastatic niche cargo: EV protein / miRNA が distant organ stromal cell を rewire
  • Glioma EV: EGFRvIII mRNA を含む EV の血漿検出, glioma 早期診断
  • EV-mediated drug resistance: drug efflux pump (P-gp) 含有 EV の drug-tolerant population への伝播

適用分野と限界

  • 強み: bulk + single-EV multi-omics, biofluid 由来で minimally invasive biomarker, 治療応答 dynamic monitoring 可能
  • 限界: isolation method 依存性で profile 大きく異なる (lipoprotein contamination, soluble protein co-precipitation)、low-abundance protein detection 限界、EV subpopulation (exomere / supermere) の bulk 平均化、reference annotation の incompleteness、quantification standardization 不足

Open Questions

  • Single-EV multi-omics: protein × RNA × lipid を 1 EV 単位で同時取得
  • In vivo EV cargo selection の機序 (proximity labeling 適用)
  • Clinical-grade EV biomarker: pre-analytical / assay variability の harmonization
  • Therapeutic EV cargo loading: engineered EV vaccine / drug delivery の cargo programming

関連エンティティ