Enhanced protein phosphorylation in Apostichopus japonicus intestine triggered by tussah immunoreactive substances might be involved in the regulation of immune-related signaling pathways

Author(s):  
Rui Mi ◽  
Md Hasim Rabbi ◽  
Yongxin Sun ◽  
Xuejun Li ◽  
Shuhui Ma ◽  
...  
2010 ◽  
Vol 9 (2) ◽  
pp. 980-989 ◽  
Author(s):  
Hengwei Zhang ◽  
Rui Cao ◽  
Wai-Nang Paul Lee ◽  
Caishu Deng ◽  
Yingchun Zhao ◽  
...  

Cells ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 47
Author(s):  
Rijwan Uddin Ahammad ◽  
Tomoki Nishioka ◽  
Junichiro Yoshimoto ◽  
Takayuki Kannon ◽  
Mutsuki Amano ◽  
...  

Protein phosphorylation plays critical roles in a variety of intracellular signaling pathways and physiological functions that are controlled by neurotransmitters and neuromodulators in the brain. Dysregulation of these signaling pathways has been implicated in neurodevelopmental disorders, including autism spectrum disorder, attention deficit hyperactivity disorder and schizophrenia. While recent advances in mass spectrometry-based proteomics have allowed us to identify approximately 280,000 phosphorylation sites, it remains largely unknown which sites are phosphorylated by which kinases. To overcome this issue, previously, we developed methods for comprehensive screening of the target substrates of given kinases, such as PKA and Rho-kinase, upon stimulation by extracellular signals and identified many candidate substrates for specific kinases and their phosphorylation sites. Here, we developed a novel online database to provide information about the phosphorylation signals identified by our methods, as well as those previously reported in the literature. The “KANPHOS” (Kinase-Associated Neural Phospho-Signaling) database and its web portal were built based on a next-generation XooNIps neuroinformatics tool. To explore the functionality of the KANPHOS database, we obtained phosphoproteomics data for adenosine-A2A-receptor signaling and its downstream MAPK-mediated signaling in the striatum/nucleus accumbens, registered them in KANPHOS, and analyzed the related pathways.


Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 928-928
Author(s):  
Aradhana Awasthi ◽  
Delphine Rolland ◽  
Matthew J. Barth ◽  
Janet Ayello ◽  
Carmella van de Ven ◽  
...  

Abstract Background Burkitt Lymphoma (BL) is the most common non-Hodgkin lymphoma (NHL) in children and adolescents and has an excellent prognosis (≥80% 5years, EFS) following short but intense multi-agent chemotherapy (Cairo et al JCO, 2012). The prognosis has improved following the addition of targeted immunotherapy with rituximab (Goldman/Cairo et al, Leukemia, 2013). However, a subset of patients with chemoimmunotherapy resistant disease have a dismal prognosis (≤ 10% 5 years, EFS) (Miles/Cairo et al. BJH, 2012 and Cairo et al Blood, 2007). Deregulation of signaling pathways controlled by protein phosphorylation underlies the pathogenesis of B-cell lymphomas, however the extent to which they contribute to rituximab resistance is largely unknown (Barth et al. BJH, 2013). Recently, Czuczman et al have generated a chemoimmunotherapy resistant BL cell line Raji4RH from the native Raji BL line after serial exposures to rituximab (Czuczman et al Clin Cancer Res, 2008). Objective We therefore sought to compare the in-vitro cytotoxicity of rituximab to Raji vs. Raji4RH and the resulting phosphoproteomics changes between untreated and rituximab treated Raji vs. Raji4RH by global phosphoproteomics. Methods In order to identify deregulated signaling proteins/pathways that play a role in BL rituximab resistance, we performed a mass spectrometry-based label-free quantitative phosphoproteomic profiling of the BL cell line Raji, (CD20+,ATCC, Manhassas, VA) and its rituximab resistant derivative Raji 4RH in the presence or absence of Rituximab (100µg/ml for 24 hr) or isotype control. Six milligrams of protein from each condition were digested by trypsin and peptides were subjected to phosphopeptide enrichment using metal oxide affinity chromatography (MOAC) and immunoprecipitation using a cocktail of 3 anti-phosphotyrosine antibodies. An LTQ Orbitrap XL in-line with a Paradigm MS2 HPLC was employed for acquiring high-resolution MS and MS/MS data which were searched with the Swissprot Human taxonomic protein database. Quantitation of identified phosphopeptides was based on spectral counts of phosphorylated peptides. The accuracy of the phospho-site localization was predicted using Luciphor program. Pathway analyses were performed using the Database for Annotation, Visualization and Integrated Discovery (DAVID) Results Our in-vitro results shows that rituximab induced significantly more cell death against Raji vs. Raji4RH (32.7±6.8% vs.5.5±2.2%, p=0.001) compared to isotype control (9.35±0.75% vs.8.9±1.1%, p=NS) at 24 hrs. Furthermore, 2272 unique phosphopeptides were identified and quantified with a probability P> 0.7 and a false localization rate (FLR) < 0.01. These unique phosphopeptides corresponded to 850 unique phosphorylated proteins. Six hundred and nine proteins were differentially phosphorylated (>1.5-fold change) between Raji and Raji 4RH (Figure 1A). Out of these proteins, 374 were more phosphorylated in Raji4RH than in Raji and 235 were more phosphorylated in Raji than in Raji 4RH. Proteins in the spliceosome and the BCR signaling pathway were significantly represented. Changes in the phosphorylation of 430 proteins were induced by Rituximab in Raji cells and involved those in the B-cell receptor (BCR) signaling pathway (LYN, LCK, SLAMF1, PAG1, CD20), the spliceosome (SF3A1, SF3B1, SRSF6), the mTOR pathway (RICTOR, PDPK1, RPS6KA1, BRAF) and the chemokine signaling pathway (CXCR5, PTK2B, CCL1, PRKCD). After rituximab treatment, 559 proteins were differentially phosphorylated between Raji and Raji 4RH (Figure 1B). Rituximab treatment increased the phosphorylation of 262 proteins in Raji 4R while it increased the phosphorylation of 299 proteins in Raji. Conclusions The data indicate that Rituximab results in global changes in proteins in BL involved in not just BCR signaling but also in the spliceosome, the mTOR and the chemokine signaling pathway. Furthermore, aberrant phosphorylation-induced signaling events in the spliceosome and the BCR signaling pathways may contribute to resistance to rituximab. These data revealed the utility of unbiased phosphoproteome interrogation of rituximab mediated signaling events as well as characterizing signaling networks that may provide insights into pathogenetic mechanisms of rituximab resistance. AA and DR considered co-primary first authors, and ML and MC considered co-senior authors. Disclosures: Cairo: Roche/Genentech : advisory board Other.


2014 ◽  
Vol 13s1 ◽  
pp. CIN.S13883 ◽  
Author(s):  
Chunhui Cai ◽  
Lujia Chen ◽  
Xia Jiang ◽  
Xinghua Lu

Background Signaling networks are of great importance for us to understand the cell's regulatory mechanism. The rise of large-scale genomic and proteomic data, and prior biological knowledge has paved the way for the reconstruction and discovery of novel signaling pathways in a data-driven manner. In this study, we investigate computational methods that integrate proteomics and transcriptomic data to identify signaling pathways transmitting signals in response to specific stimuli. Such methods can be applied to cancer genomic data to infer perturbed signaling pathways. Method We proposed a novel Bayesian Network (BN) framework to integrate transcriptomic data with proteomic data reflecting protein phosphorylation states for the purpose of identifying the pathways transmitting the signal of diverse stimuli in rat and human cells. We represented the proteins and genes as nodes in a BN in which edges reflect the regulatory relationship between signaling proteins. We designed an efficient inference algorithm that incorporated the prior knowledge of pathways and searched for a network structure in a data-driven manner. Results We applied our method to infer rat and human specific networks given gene expression and proteomic datasets. We were able to effectively identify sparse signaling networks that modeled the observed transcriptomic and proteomic data. Our methods were able to identify distinct signaling pathways for rat and human cells in a data-driven manner, based on the facts that rat and human cells exhibited distinct transcriptomic and proteomics responses to a common set of stimuli. Our model performed well in the SBV IMPROVER challenge in comparison to other models addressing the same task. The capability of inferring signaling pathways in a data-driven fashion may contribute to cancer research by identifying distinct aberrations in signaling pathways underlying heterogeneous cancers subtypes.


2019 ◽  
Vol 10 (11) ◽  
pp. 7565-7575 ◽  
Author(s):  
Yunmei Chen ◽  
Huimin Liu ◽  
Yuanhong Wang ◽  
Shuang Yang ◽  
Mingming Yu ◽  
...  

AHG-induced activation of the Akt/FoxO1 signaling pathway and inhibition of the PKA/CREB signaling pathway regulated the expression of gluconeogenesis rate-limiting enzymes G6Pase and PEPCK, thus inhibiting HGP in insulin resistant hepatocytes.


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