Anti-Human Factor XIIIa monoclonal antibody

Contents The present study identified few potential proteins in the spermatozoa of buffalo bulls that can be used as an aid in fertility determination through comparative proteomics. The sperm proteome of high-fertile buffalo bulls was compared with that of low-fertile buffalo bulls using two-dimensional difference gel electrophoresis (2D-DIGE), and the differentially expressed proteins were identified through mass spectrometric method. The protein interaction network and the functional bioinformatics analysis of differentially expressed proteins were also carried out. In the spermatozoa of high-fertile bulls, 10 proteins were found overexpressed and 15 proteins were underexpressed at the level of twofold or more (p <= 0.05). The proteins overexpressed in high-fertile spermatozoa were PDZD8, GTF2F2, ZNF397, KIZ, LOH12CR1, ACRBP, PRSS37, CYP11B2, F13A1 and SPO11, whereas those overexpressed in low-fertile spermatozoa were MT1A, ATP5F1, CS, TCRB, PRODH2, HARS, IDH3A, SRPK3, Uncharacterized protein C9orf9 homolog isoform X4, TUBB2B, GPR4, PMP2, CTSL1, TPPP2 and EGFL6. The differential expression ranged from 2.0- to 6.1-fold between the two groups, where CYP11B2 was high abundant in high-fertile spermatozoa and MT1A was highly abundant in low-fertile spermatozoa. Most of the proteins overexpressed in low-fertile spermatozoa were related to energy metabolism and capacitation factors, pointing out the possible role of pre-mature capacitation and cryo-damages in reducing the fertility of cryopreserved buffalo spermatozoa.

Background: Blood contains exosomes that are related to tumor cells. Those exosomes can regulate communication between cells and have a great influence on a variety of tumor-associated proceedings through their target cells. Therefore, serum exosomes (SE) were supposed to play a crucial role in cancer development. Methods: This study presented a quantitative proteomics analysis to identify the protein content in SEs including 30 subjects from oral squamous cell carcinoma (OSCC) patients with lymph node metastasis (LNM), OSCC patients with no LNM (NLNM), and healthy controls (HC). Differentially expressed proteins (DEP) were analyzed by bioinformatics, and then a total of 30 subjects were used for Western blot and 60 subjects for IHC, ELISA, and RT-PCR verifications. The correlations were assessed between DEP expression and clinicopathologic factors. Results: A total of 415 proteins were identified. Comparing with HC and OSCC- NLNM, we found 37 proteins and 28 proteins in the SEs of OSCC-LNM, respectively. There were significant correlations among the expression of PF4V1 with tumor differentiation level, PF4V1 and F13A1 with the number of positive nodes, and ApoA1 with smoking and drinking. ROC curve analysis indicated that the combinations of the different biomarkers or specimen were obviously superior to single biomarker or specimen for diagnosing OSCC-LNM. Conclusions: We conclude that PF4V1, CXCL7, F13A1, and ApoA1 from SEs may be related to the metastasis of OSCC, which would be helpful in the diagnosis of OSCC-LNM. Impact: Biomarkers from SEs could help with the diagnosis of metastasis in OSCC.