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磷酸化丝氨酸和苏氨酸分析正常和突变的粒细胞集落刺激因子受体。

Phospho serine and threonine analysis of normal and mutated granulocyte colony stimulating factor receptors.

机构信息

Department of Cancer Biology, University of Cincinnati, Cincinnati, Ohio, 45267, USA.

Division of Immunobiology and Center for Systems Immunology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.

出版信息

Sci Data. 2019 Apr 9;6(1):21. doi: 10.1038/s41597-019-0015-8.

Abstract

Granulocyte colony stimulating factor receptor (G-CSFR) plays an important role in the production of neutrophil granulocytes. Mutated G-CSFRs have been directly associated with two distinct malignant phenotypes in patients, e.g. acute myeloid leukemia (AML) and chronic neutrophilic leukemia (CNL). However, the signaling mechanism of the mutated G-CSFRs is not well understood. Here, we present a comprehensive SILAC-based quantitative phosphoserine and phosphothreonine dataset of the normal and mutated G-CSFRs signaling using the BaF3 cell-line-based in vitro model system. High pH reversed phase concatenation and Titanium Dioxide Spin Tip column were utilized to increase the dynamic range and detection of the phosphoproteome of G-CSFRs. The dataset was further analyzed using several computational tools to validate the quality of the dataset. Overall, this dataset is the first global phosphoproteomics analysis of both normal and disease-associated-mutant G-CSFRs. We anticipate that this dataset will have a strong potential to decipher the phospho-signaling differences between the normal and malignant G-CSFR biology with therapeutic implications. The phosphoproteomic dataset is available via the PRIDE partner repository.

摘要

粒细胞集落刺激因子受体(G-CSFR)在中性粒细胞的生成中起着重要作用。突变的 G-CSFR 已被直接与患者的两种不同的恶性表型相关联,例如急性髓系白血病(AML)和慢性中性粒细胞白血病(CNL)。然而,突变的 G-CSFR 的信号转导机制尚不清楚。在这里,我们使用基于 BaF3 细胞系的体外模型系统,呈现了一个关于正常和突变的 G-CSFR 信号的基于 SILAC 的综合定量磷酸丝氨酸和磷酸苏氨酸数据集。高 pH 反相串联和 TiO2 旋转针尖柱被用来增加 G-CSFR 磷酸蛋白质组的动态范围和检测。该数据集还使用了几种计算工具进行了进一步分析,以验证数据集的质量。总的来说,这是对正常和与疾病相关的突变 G-CSFR 的磷酸蛋白质组的首次全面分析。我们预计,该数据集将具有很强的潜力,以破译正常和恶性 G-CSFR 生物学之间的磷酸信号差异,并具有治疗意义。磷酸蛋白质组数据集可通过 PRIDE 合作伙伴存储库获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b82/6480977/146d35ab810d/41597_2019_15_Fig1_HTML.jpg

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