从酵母中提取谷胱甘肽的初步研究

考察了不同提取方法对从酵母中提取谷胱甘肽（ＧＳＨ）的影响,热水抽提由于其提取收率高（９０％）,耗时短（１０ｍｉｎ）经济性强而明显优于其它提取方法,对７３２阳离子交换树脂纯化ＧＳＨ进行了初步研究,主要研究了树脂颗粒大小对提纯ＧＳＨ的影响,采用６０～８０目的树脂,ＧＳＨ收率为５７．６％,虽然比８０目以上的树脂低１０％但前者操作作所需时间只有后者的１／３。     

The effect of HMGB1 A box on lung injury in mice with acute pancreatitis

The objective of this study is to observe the effect of high-mobility group protein B1 A Box (HMGB1 A) box on lung injury in mice with acute pancreatitis and its effect on the level of high-mobility group protein B1 (HMGB1) in lung, to explore the mechanism. A total of 60 male Institute of Cancer Research mice were randomly divided into control group (n = 30) and treatment group (n = 30). Severe acute pancreatitis mice model was induced by 20% L-Arg intraperitoneal injection. The recombination HMGB1 A box was used in treatment after modeling. All the mice were killed under anesthesia at 24 and 48 h after the modeling injection. The level of HMGB1 and activity of myeloperoxidase (MPO) in lung were measured. The pathological changes of lung were observed. The level of HMGB1 in lung of A box treatment group decreased more significantly 24 h and 48 h after modeling compared with control group. The activity of MPO in lung of A box treatment group decreased more significantly 24 h after modeling compared with control group. The lung tissue pathologic score of A box treatment group decreased more significantly 48 h after modeling compared with control group. HMGB1 expression levels in the lungs were positively related to histological score of injured lung in acute pancreatitis. It indicates that HMGB1 A box is remarkably protective to lung injury induced by acute pancreatitis.     

Protein Kinase D3 promotes the cell proliferation by activating the ERK1/c‐MYC axis in breast cancer

Breast cancer is the second leading death cause of cancer death for all women. Previous study suggested that Protein Kinase D3 (PRKD3) was involved in breast cancer progression. In addition, the protein level of PRKD3 in triple‐negative breast adenocarcinoma was higher than that in normal breast tissue. However, the oncogenic mechanisms of PRKD3 in breast cancer is not fully investigated. Multi‐omic data showed that ERK1/c‐MYC axis was identified as a major pivot in PRKD3‐mediated downstream pathways. Our study provided the evidence to support that the PRKD3/ERK1/c‐MYC pathway play an important role in breast cancer progression. We found that knocking out PRKD3 by performing CRISPR/Cas9 genome engineering technology suppressed phosphorylation of both ERK1 and c‐MYC but did not down‐regulate ERK1/2 expression or phosphorylation of ERK2. The inhibition of ERK1 and c‐MYC phosphorylation further led to the lower protein level of c‐MYC and then reduced the expression of the c‐MYC target genes in breast cancer cells. We also found that loss of PRKD3 reduced the rate of the cell proliferation in vitro and tumour growth in vivo, whereas ectopic (over)expression of PRKD3, ERK1 or c‐MYC in the PRKD3‐knockout breast cells reverse the suppression of the cell proliferation and tumour growth. Collectively, our data strongly suggested that PRKD3 likely promote the cell proliferation in the breast cancer cells by activating ERK1‐c‐MYC axis.     

miR-194-5p negatively regulates the proliferation and differentiation of rabbit skeletal muscle satellite cells

Molecular and Cellular Biochemistry - Skeletal muscle satellite cells (SMSCs), also known as a multipotential stem cell population, play a crucial role during muscle growth and regeneration. In...     

水稻细菌性穗枯病的病原特性和抗性研究进展

水稻(Oryza sativa)细菌性穗枯病是世界性的重要病害之一, 严重威胁全球范围水稻的高产稳产。虽然该病目前仍被列为我国的检疫性病害, 但近几年的研究表明, 穗枯病随时有在内地蔓延的潜在危险, 因此除了加强检疫工作, 开展针对性的防控技术研发也十分必要。水稻细菌性穗枯病菌在侵染过程中涉及多种毒力因子, 同时, 水稻在与病原菌的长期互作过程中演化出了多种防卫机制, 抗性基因是主要的防卫机制之一。挖掘水稻基因组中抗细菌性穗枯病遗传位点并培育抗病品种是最安全且经济有效的防治途径。该文综述了水稻细菌性穗枯病的病原菌特性、发病特征、发病机制、病害循环和对水稻细菌性穗枯病的抗性研究现状, 以期为挖掘和分离水稻穗枯病抗性位点提供参考。     

Analysis of Protein Three-Dimension Structure Using Amino Acids Depths

The issue of amino acid depth in proteins gives important insights to our understanding of protein’s three-dimensional structure. There has already been much research done in mathematical and statistical sciences regarding the general definitions, properties and algorithms describing the particle depth of spatially extended systems. We constructed a method of calculating the amino acids depths and applied it to a set of 527 protein structures. We propose the introduction of amino acid depth tendency factors for three-dimensional structures of proteins. The depth tendency factors relate not only to the hydrophobicity indices but also to the electrostatic charge. We found a relationship between the protein size and the number of residues using the distance between the deepest residue and surface residues. We made a prediction regarding the number of residues on the surface of a protein, the deepest amino acid, and the average depth, all of which are fitted well to a linear functional relationship with the length of the protein. Finally, we have predicted the depths of multiple peptides in protein’s three-dimension structure. Electronic supplementary material The online version of this article () contains supplementary material, which is available to authorized users.