Somavarapu Arun Kumar, Balakrishnan Satish, Gautam Amit Kumar Singh, Palmer David S, Venkatraman Prasanna
Protein Interactome Lab for Structural and Functional Biology, Advanced Center for Treatment Research and Education in Cancer, Tata Memorial Centre, Kharghar, Navi Mumbai, Maharashtra 410210, India.
BMC Struct Biol. 2014 Mar 11;14:9. doi: 10.1186/1472-6807-14-9.
High-throughput mass spectrometric (HT-MS) study is the method of choice for monitoring global changes in proteome. Data derived from these studies are meant for further validation and experimentation to discover novel biological insights. Here we evaluate use of relative solvent accessible surface area (rSASA) and DEPTH as indices to assess experimentally determined phosphorylation events deposited in PhosphoSitePlus.
Based on accessibility, we map these identifications on allowed (accessible) or disallowed (inaccessible) regions of phosphoconformation. Surprisingly a striking number of HT-MS/MS derived events (1461/5947 sites or 24.6%) are present in the disallowed region of conformation. By considering protein dynamics, autophosphorylation events and/or the sequence specificity of kinases, 13.8% of these phosphosites can be moved to the allowed region of conformation. We also demonstrate that rSASA values can be used to increase the confidence of identification of phosphorylation sites within an ambiguous MS dataset.
While MS is a stand-alone technique for the identification of vast majority of phosphorylation events, identifications within disallowed region of conformation will benefit from techniques that independently probe for phosphorylation and protein dynamics. Our studies also imply that trapping alternate protein conformations may be a viable alternative to the design of inhibitors against mutation prone drug resistance kinases.
高通量质谱(HT-MS)研究是监测蛋白质组整体变化的首选方法。这些研究获得的数据旨在进一步验证和实验,以发现新的生物学见解。在此,我们评估使用相对溶剂可及表面积(rSASA)和深度作为指标,来评估存入PhosphoSitePlus中的实验确定的磷酸化事件。
基于可及性,我们将这些鉴定结果映射到磷酸化构象的允许(可及)或不允许(不可及)区域。令人惊讶的是,大量源自HT-MS/MS的事件(1461/5947个位点,即24.6%)存在于构象的不允许区域。通过考虑蛋白质动力学、自磷酸化事件和/或激酶的序列特异性,这些磷酸化位点中有13.8%可以转移到构象的允许区域。我们还证明,rSASA值可用于提高在模糊质谱数据集中磷酸化位点鉴定的可信度。
虽然质谱是鉴定绝大多数磷酸化事件的独立技术,但在构象的不允许区域内的鉴定将受益于独立探测磷酸化和蛋白质动力学的技术。我们的研究还表明,捕获替代蛋白质构象可能是设计针对易发生突变的耐药激酶的抑制剂的可行替代方法。