Polymorphisms of the Myostatin Gene and Its Relationship with Reproduction Traits in the Bian Chicken

Myostatin, or growth and differentiation factor 8, is a member of the transforming growth factor-β superfamily; it functions as a negative regulator of skeletal muscle development and growth in mammals. In this study, single nucleotide polymorphisms in the 5′ regulatory region and exon 1 of the myostatin gene were detected by PCR–SSCP in the Bian, Jinghai, Youxi, and Arbor Acre chickens, and the associations of the polymorphisms with reproduction traits were analyzed. Seven SNPs (A326G, C334G, C1346T, G1375A, A1473G, G1491A, and G2283A) were found in the myostatin gene. Association analysis showed that the G2283A were significantly associated with reproduction traits. Bian chickens of the GG genotype had a greater age at first egg than those of the GA and AA genotypes (P < 0.01). Correspondingly, Bian chickens of the GA and AA genotypes had larger egg number at 300 days than those of the GG genotype (P < 0.05 and P < 0.01, respectively). Bian chickens of the AA genotype had significantly higher body weight at 300 days than those of the GG genotype (P < 0.05). These results suggested that the myostatin gene may have certain effects on reproduction traits other than merely as a negative regulator of skeletal muscle development and growth in mammals previously reported.     

Hemodynamic investigation of a patient-specific abdominal aortic aneurysm with iliac artery tortuosity

Abstract

This paper describes a systematic investigation on the hemodynamic environment in a patient-specific AAA with tortuous common iliac artery(CIA) and external iliac artery (EIA). 3D reconstructions from CT scans and subsequent computational simulation are carried out. It is found out that the Newtonian and non-Newtonian models have very similar flow field and WSS distribution. More importantly, it is revealed that the torturous CIA maintained its helical flow. It is concluded that the assumption of Newtonian blood is adequate in capturing the intra-aneurysmal hemodynamics. Moreover, it is speculated that the physiological spiral flow protects the twisted CIA from the thrombosis formation.     

ADIPOQ gene polymorphisms and cancer risk: A meta-analysis

The results of studies investigating the association between ADIPOQ gene polymorphisms and risk of cancer have been inconsistent and often contradictory. The present meta-analysis was conducted in order to overcome the limitations of any individual study and to provide a more precise overall effect estimate. Relevant studies were identified by searching PubMed and Embase for articles published through May 2012. The strength of the relationship between the ADIPOQ gene and risk of cancer was assessed using odds ratios (ORs). Either a fixed-effects or a random-effects model was used to calculate the overall risk estimates. Fifteen studies were included and five SNPs were considered. A significant association was found between SNP rs2241766 and risk of cancer in the recessive genetic model (OR: 0.768, 95% CI: [0.626, 0.942], P = 0.011); a significant relationship was also found between SNP rs1501299 and risk of cancer in both an allele contrast (OR: 0.141, 95%CI: [0.113, 0.176], P < 0.001) and the dominant genetic model (OR: 0.904, 95%CI: [0.830, 0.985], P = 0.021); no association was found with the rs266729, rs822395, or rs822396 SNPs. Adjusted ORs were also considered, but no statistically significant association was found in homozygote contrasts for any of the five SNPs after adjustment. Our results suggest that two polymorphisms, SNP rs2241766 and SNP rs1501299, of the ADIPOQ gene may be associated with reduced risk of cancer. However, the overall strength of association is mild to moderate, and additional well-designed studies are needed to confirm the present conclusion.     

Oxidative stress alters neuronal RNA- and protein-synthesis: Implications for neural viability

Recent studies have demonstrated that impaired protein synthesis occurs in several neurodegenerative conditions associated with oxidative stress. Studies have also demonstrated that administration of oxidative stressors is sufficient to impair different and discrete regulatory aspects of protein synthesis in neural cells, with the majority of these studies focused on the effects of oxidative stressors towards initiation factors. Currently, little is known with regards to oxidative stress effects on the rates of RNA- and protein-synthesis, or the relationship between oxidant-induced impairments in RNA-/protein-synthesis to subsequent neuron death. In the present study, we demonstrate that administration of an oxidative stressor (hydrogen peroxide) induces a significant and time-dependent decrease in both RNA- and protein-synthesis in primary neurons and neural SH-SY5Y cells. Increases in RNA oxidation and disruption of ribosome complexes were selectively observed following the longer durations of oxidant exposure. Significant correlations between the loss of RNA- and protein-synthesis and the amount of oxidant-induced neuron death were also observed. Interestingly, the addition of a protein synthesis inhibitor (cycloheximide) did not significantly alter the amount of neuron death induced by the oxidative stressor. These data demonstrate that oxidant exposure promotes a time-dependent decrease in both RNA- and protein-synthesis in neurons, and demonstrate a role for elevations in RNA oxidation and ribosome dysfunction as potential mediators of impaired protein synthesis. These data also suggest that there is a complex relationship between the ability of oxidative stressors to modulate RNA- and protein-synthesis, and the ability of oxidative stressors to ultimately induce neuron death.     

Study on the Interaction between the Inclusion Complex of Hematoxylin with β-Cyclodextrin and DNA

Ultraviolet-visible (UV-vis) spectra, fluorescence spectra, electrochemistry, and the thermodynamic method were used to discuss the interaction mode between the inclusion complex of hematoxylin with β-cyclodextrin and herring sperm DNA. On the condition of physiological pH, the result showed that hematoxylin and β-cyclodextrin formed an inclusion complex with binding ratio n_hematoxylin:n_{β-cyclodextrin} = 1:1. The interaction mode between β-cyclodextrin-hematoxylin and DNA was a mixed binding, which contained intercalation and electrostatic mode. The binding ratio between β-cyclodextrin-hematoxylin and DNA was n_{β-cyclodextrin -hematoxylin}:n_DNA = 2:1, binding constant was K^? _298.15K = 5.29 × 10⁴ L·mol^?1, and entropy worked as driven force in this action.     

Soil Microbial Community Response to Nitrobenzene Exposure for a Spartina Wetland

To explore the response of the soil microbial community to nitrobenzene (NB) exposure in a Spartina marsh, a short-term (45 d) mesocosm study was conducted at three NB concentrations of (10, 50, and 100) mg kg^?1. Dry soil, sterile and unsterile controls were also compared. The ability of the microbes to biodegrade NB was studied in an effort to predict the outcome of NB in the mesocosm. The results indicated that a microbial community is capable of doing so. Microbial enumeration and enzyme assays showed that the fluctuations in microbial communities and polyphenol oxidase activities are related to the initial NB concentration. Moreover, cluster analyses through denaturing gradient gel electrophoresis (DGGE) revealed very similar patterns (95.5%) throughout the 45 d term, indicating that the microbial community regenerates when NB is exhausted. Although volatilization and photolysis were the major processes responsible for the reduction in NB in contaminated mesocosms and the microbial community regenerated at the end of incubation, the data indicate potential ecological risks in outfall areas even if the discharged wastewater complies with the national wastewater discharge standards.     

A Fast Workflow for Identification and Quantification of Proteomes

The current in-depth proteomics makes use of long chromatography gradient to get access to more peptides for protein identification, resulting in covering of as many as 8000 mammalian gene products in 3 days of mass spectrometer running time. Here we report a fast sequencing (Fast-seq) workflow of the use of dual reverse phase high performance liquid chromatography - mass spectrometry (HPLC-MS) with a short gradient to achieve the same proteome coverage in 0.5 day. We adapted this workflow to a quantitative version (Fast quantification, Fast-quan) that was compatible to large-scale protein quantification. We subjected two identical samples to the Fast-quan workflow, which allowed us to systematically evaluate different parameters that impact the sensitivity and accuracy of the workflow. Using the statistics of significant test, we unraveled the existence of substantial falsely quantified differential proteins and estimated correlation of false quantification rate and parameters that are applied in label-free quantification. We optimized the setting of parameters that may substantially minimize the rate of falsely quantified differential proteins, and further applied them on a real biological process. With improved efficiency and throughput, we expect that the Fast-seq/Fast-quan workflow, allowing pair wise comparison of two proteomes in 1 day may make MS available to the masses and impact biomedical research in a positive way.The performance of mass spectrometry has been improved tremendously over the last few years (1–3), making mass spectrometry-based proteomics a viable approach for large-scale protein analysis in biological research. Scientists around the world are striving to fulfill the promise of identifying and quantifying almost all gene products expressed in a cell line or tissue. This would make mass spectrometry-based protein analysis an approach that is compatible to the second-generation mRNA deep-seq technique (4, 5).Two liquid chromatography (LC)-MS strategies have been employed to achieve deep proteome coverage. One is a single run with a long chromatography column and gradient to take advantage of the resolving power of HPLC to reduce the complexity of peptide mixtures; the other is a sequential run with two-dimensional separation (typically ion-exchange and reverse phase) to reduce peptide complexity. It was reported by two laboratories that 2761 and 4500 proteins were identified with a 10 h chromatography gradient on a dual pressure linear ion-trap orbitrap mass spectrometer (LTQ Orbitrap Velos)(6–8). Similarly, 3734 proteins were identified using a 8 h gradient on a 2 m long column with a hybrid triple quadrupole - time of flight (Q-TOF, AB sciex 5600 Q-TOF)(9) mass spectrometer. The two-dimensional approach has yielded more identification with longer time. For example, 10,006 proteins (representing over 9000 gene products, GPs)¹ were identified in U2OS cell (10), and 10,255 proteins (representing 9207 GPs) from HeLa cells (11). It took weeks (for example, 2–3 weeks) of machine running time to achieve such proteome coverage, pushing proteome analysis to the level that is comparable to mRNA-seq. With the introduction of faster machines, human proteome coverage now has reached the level of 7000–8500 proteins (representing 7000–8000 GPs) in 3 days (12). Notwithstanding the impressive improvement, the current approach using long column and long gradient suffers from inherent limitations: it takes long machine running time and it is challenging to keep reproducibility among repeated runs. Thus, current throughput and reproducibility have hindered the application of in-depth proteomics to traditional biological researches. A timesaving approach is in urgent need.In this study, we used the first-dimension (1D) short pH 10 RP prefractionation to reduce the complexity of the proteome (13), followed by sequential 30 min second-dimension (2D) short pH 3 reverse phase-(RP)-LC-MS/MS runs for protein identification (14). The results demonstrated that it is possible to identify 8000 gene products from mammalian cells within 12 h of total MS measurement time by applying this dual-short 2D-RPLC-MS/MS strategy (Fast sequencing, Fast-seq). The robustness of the strategy was revealed by parallel testing on different MS systems including quadrupole orbitrap mass spectrometer (Q-Exactive), hybrid Q-TOF (Triple-TOF 5600), and dual pressure linear ion-trap orbitrap mass spectrometer (LTQ-Orbitrap Velos), indicating the inherent strength of the approach as to merely taking advantage of the better MS instruments. This strategy increases the efficiency of MS sequencing in unit time for the identification of proteins. We achieved identification of 2200 proteins/30 mins on LTQ-Orbitrap Velos, 2800 proteins/30 mins on Q-Exactive and Triple-TOF 5600 respectively. We further optimized Fast-seq and worked out a quantitative-version of the Fast-seq workflow: Fast-quantification (Fast-quan) and applied it for protein abundance quantification in HUVEC cell that was treated with a drug candidate MLN4924 (a drug in phase III clinical trial). We were able to quantify > 6700 GPs in 1 day of MS running time and found 99 proteins were up-regulated with high confidence. We expect this efficient alternative approach for in-depth proteome analysis will make the application of MS-based proteomics more accessible to biological applications.     

Cell-based high-throughput proliferation and cytotoxicity assays for screening traditional Chinese herbal medicines

A simple, reliable, high-throughput screening method was developed and used to assess the pharmaceutical effects of extracts of traditional Chinese herbal medicines (TCHMs). This method is based on 3-dimensional (3-D) cultures of mouse embryonic stem (mES) and human colon cancer and breast cancer cells expressing enhanced green fluorescent protein (EGFP) in polyethylene terephthalate (PET) fibrous scaffolds on modified 384-well plates with online monitoring of culture fluorescence for dynamic responses of cells to drugs present in culture media. Cell responses to deoxycholic acid and the extracts of 3 TCHMs (Ganoderma lucidum spores, Ginkgo biloba, and Epimedium brevicornum) at various concentrations were investigated for their effects on proliferation and cytotoxicity. The screening results, i.e., the growth responses of cancer cells to those drugs, were consistent with what have been reported in the literature, confirming the reliability of the new screening approach. Different from previous screening methods for both TCHMs and western medicines that used animal models or 2-D cell-based assays with single cell lines, this 3-D cell-based screening method employs both cancer and normal cells and thereby provides a way for quick, direct evaluation of the anticancer effects of TCHMs. This method also offers assessment on the side effects of TCHMs.     

The role of IL-6 in bone marrow (BM)-derived mesenchymal stem cells (MSCs) proliferation and chondrogenesis

Rheumatoid arthritis (RA) is the most common degenerative arthritic cartilage and represents a disease where the prospect of stem cell therapy offers considerable hope. Currently, bone marrow (BM) represents the major source of mesenchymal stem cells (MSCs) for cell therapy. In the pathology of RA, the pro-inflammatory cytokines, such as interleukin 6 (IL-6) play a pivotal role. To investigate the direct role of IL-6 in the chondrogenic differentiation of murine MSCs (mMSCs), we isolate MSCs from the murine bone marrow, and induce MSCs chondrogenesis with different concentrations of IL-6 in vitro. Through detecting the histological and histochemical qualities of the aggregates, we demonstrate that IL-6 inhibited the differentiation of MSCs into chondrocytes in the dose-dependence manner. These findings suggest that possible strategies for improving the clinical outcome of cartilage repair procedures.