Computational identification of new potential transcriptional partners of ERRα in breast cancer cells: specific partners for specific targets.

Estrogen related receptors are orphan members of the nuclear receptor superfamily acting as transcription factors (TFs). In contrast to classical nuclear receptors, the activities of the ERRs are not controlled by a natural ligand. Regulation of their activities thus relies on availability of transcriptional co-regulators. In this paper, we focus on ERRα, whose involvement in cancer progression has been broadly demonstrated. We propose a new approach to identify potential co-activators, starting from previously identified ERRα-activated genes in a breast cancer (BC) cell line. Considering mRNA gene expression from two sets of human BC cells as major endpoint, we used sparse partial least squares modeling to uncover new transcriptional regulators associated with ERRα. Among them, DDX21, MYBBP1A, NFKB1, and SETD7 are functionally relevant in MDA-MB-231 cells, specifically activating the expression of subsets of ERRα-activated genes. We studied SET7 in more details and showed its co-localization with ERRα and its ERRα-dependent transcriptional and phenotypic effects. Our results thus demonstrate the ability of a modeling approach to identify new transcriptional partners from gene expression. Finally, experimental results show that ERRα cooperates with distinct co-regulators to control the expression of distinct sets of target genes, thus reinforcing the combinatorial specificity of transcription.

Knox homologs shoot meristemless (STM) and KNAT6 are epistatic to CLAVATA3 (CLV3) during shoot meristem development in Arabidopsis thaliana.

BACKGROUND: In Arabidopsis, the genes SHOOT MERISTEMLESS (STM) and CLAVATA3 (CLV3) antagonistically regulate shoot meristem development. STM is essential for both development and maintenance of the meristem, as stm mutants fail to develop a shoot meristem. CLV3, on the other hand, negatively regulates meristem proliferation, and clv3 mutants possess an enlarged shoot meristem. Genetic interaction studies revealed that stm and clv3 dominantly suppress each other's phenotypes. STM works in conjunction with its closely related homologue KNOTTED1-LIKE HOMEOBOX GENE 6 (KNAT6) to promote meristem development and organ separation, as stm knat6 double mutants fail to form shoot meristem and produce a fused cotyledon. RESULTS: In this study, we show that clv3 fails to promote shoot meristem formation in stm-1 background if we also remove KNAT6. stm-1 knat6 clv3 triple mutants result in shoot meristem termination and produce fused cotyledons similar to stm knat6 double mutant. Notably, the stm-1 knat6 and stm-1 knat6 clv3 alleles lack tissue in the presumed region of SAM that is a novel phenotype reported in Arabidopsis mutants. stm-1 knat6 clv3 also showed reduced inflorescence size as compared to clv3 single or stm clv3 double mutants. CONCLUSION: In contrast to previously published data, these data suggest that STM and KNAT6 are redundantly required for the vegetative SAM, but insufficient for the inflorescence meristem.

Cathepsin L Causes Proteolytic Cleavage of Chinese-Hamster-Ovary Cell Expressed Proteins During Processing and Storage: Identification, Characterization, and Mitigation.

A stochastic approach of copurification of the protease Cathepsin L that results in product fragmentation during purification processing and storage is presented. Cathepsin L was identified using mass spectroscopy, characterization of proteolytic activity, and comparison with fragmentation patterns observed using recombinant Cathepsin L. Cathepsin L existed in Chinese hamster ovary cell culture fluids obtained from cell lines expressing different products and cleaved a variety of recombinant proteins including monoclonal antibodies, antibody fragments, bispecific antibodies, and fusion proteins. Therefore, characterization its chromatographic behavior is essential to ensure robust manufacturing and sufficient shelf life. The chromatographic behaviors of Cathepsin L using a variety of techniques including affinity, cation exchange, anion exchange, and mixed mode chromatography were systematically evaluated. Our data demonstrates that copurification of Cathepsin L on nonaffinity modalities is principally because of similar retention on the stationary phase and not through interactions with product. Lastly, Cathespin L exhibits a broad elution profile in cation exchange chromatography (CEX) likely because of its different forms. Affinity purification is free of fragmentation issue, making affinity capture the best mitigation of Cathepsin L. When affinity purification is not feasible, a high pH wash on CEX can effectively remove Cathepsin L but resulted in significant product loss, while anion exchange chromatography operated in flow-through mode does not efficiently remove Cathepsin L. Mixed mode chromatography, using Capto™ adhere in this example, provides robust clearance over wide process parameter range (pH 7.7 ± 0.3 and 100 ± 50 mM NaCl), making it an ideal technique to clear Cathepsin L. © 2018 American Institute of Chemical Engineers Biotechnol. Prog., 35: e2732, 2019.

Trace levels of the CHO host cell protease cathepsin D caused particle formation in a monoclonal antibody product.

Chinese hamster ovary (CHO) cells are often used to produce therapeutic monoclonal antibodies (mAbs). CHO cells express many host cell proteins (HCPs) required for their growth. Interactions of HCPs with mAbs can sometimes result in co-purification of trace levels of 'hitchhiker' HCPs during the manufacturing process. Purified mAb-1 product produced in early stages of process optimization had high HCP levels. In addition, these lots formed delayed-onset particles containing mAb-1 and its heavy chain C-terminal fragments. Studies were performed to determine the cause of the observed particle formation and to optimize the purification for improved HCP clearance. Protease activity and inhibitor stability studies confirmed that an aspartyl protease was responsible for fragmentation of mAb-1 resulting in particle formation. An affinity resin was used to selectively capture aspartyl proteases from the mAb-1 product. Mass spectrometry identified the captured aspartyl protease as CHO cathepsin D. A wash step at high pH with salt and caprylate was implemented during the protein A affinity step to disrupt the HCP-mAb interactions and improve HCP clearance. The product at the end of purification using the optimized process had very low HCP levels, did not contain detectable protease activity, and did not form particles. Spiking of CHO cathepsin D back into mAb-1 product from the optimized process confirmed that it was the cause of the particle formation. This work demonstrated that process optimization focused on removal of HCPs was successful in eliminating particle formation in the final mAb-1 product.

Improved detection of host cell proteins (HCPs) in a mammalian cell-derived antibody drug using liquid chromatography/mass spectrometry in conjunction with an HCP-enrichment strategy.

RATIONALE: Host cell proteins (HCPs), which are process-related impurities typically present at low levels in recombinant biopharmaceutical products, are often measured using an immunological technique, such as an enzyme-linked immunosorbent assay (ELISA). In contrast to ELISA which only provides the total amount of HCP, liquid chromatography/mass spectrometry (LC/MS) can provide both qualitative and quantitative information about the major HCP species. In this study, an HCP-enrichment step was optimized and combined with LC/MS to identify and determine the relative abundance of HCPs present in a monoclonal antibody (mAb) drug product. METHODS: An NS0 (mouse myeloma) cell-derived mAb drug product, whose total HCP level was less than 100 ng/mg of protein, was subjected to analysis by LC/MS. One-dimensional and two-dimensional chromatography options, together with the off-line HCP enrichment strategy based on Protein A chromatography, were evaluated for optimal HCP detection. RESULTS: With this approach, nineteen HCPs were detected from a therapeutic mAb, an improvement over the detection of only one HCP without depletion. CONCLUSIONS: Compared with other published HCP studies with LC/MS, the HCP-enrichment step in our method enables a more practical and relevant application to approved protein therapeutics, which are mostly mammalian cell-derived products with HCPs present at very low levels.

[Evaluating the current protocol of influenza A (H1N1) based on the epidemic situations of Zhengzhou,a middle-sized city in China].

OBJECTIVE: From May 2009-January 2010, a total of 3768 biosamples were tested for influenza A (H1N1) infection at Zhengzhou center for disease control and prevention, China. 1452 cases were laboratory confirmed H1N1 infection and 2316 were considered suspected victims. To evaluate the current protocol of influenza A (H1N1) based on the epidemic situations of Zhengzhou, relationships among features were explored and whether additional clinical characteristics should be part of H1N1 diagnosis protocols were determined. METHODS: Both clinical and epidemiologic findings as well as statistical analyses were described in this article. Test for independence between features related to the disease diagnosis has been proposed. Furthermore, logistic regression was carried out to measure the association among features and latent class analysis was performed to identify additional crucial features in laboratory confirmed H1N1 by building various latent models with different combinatorial features. RESULTS: The mean generation time for H1N1 was estimated as 3.59 +/- 1.41 days (range = 2.01-7.26). The estimated infection rate was 0.258 +/- 0.088 3, and reproduction number was 1.94 (95% CI = 1.12-3.18). Our results revealed that the six features, including molecular detections using three separate primer/probe sets, gender, age and temperature, are all associated with clinical diagnosis of H1N1, and that three separate primer/probe sets for laboratory confirmed H1N1, age and temperature are associated with each other. CONCLUSION: Additional clinical features applied into the H1N1 diagnosis with current three primers/probe sets can increase the diagnostic efficiency.

[Variation feature of receptor binding sites of H1N1 influenza hemagglutinin in different hosts].

Recent outbreak of H1N1 virus worldwide has caused 16 226 deaths in over 213 countries and districts. Binding between the virus and the receptor on the host cell surface is the key initial event for the infection, which results in the fusion of viral host cell membrane. Hemagglutinin (HA) is the viral protein that mediates the receptor binding and membrane fusion. The receptor binding sites (RBSs) are located at the membrane-distal part of each subunit of the HA trimer and are formed by three secondary structure elements, 190 helix (residues 190 to 198), 130 loop (residues 135 to 138), and 220 loop (residues 221 to 228). HA1 with 327 amino acid sequences in length was collected from 1221 H1N1 viruses between 1918 and 2009, and bioinformatic studies were carried out through sequence comparison, entropy calculation for each amino acid residue, and 3D structure modeling. The results showed that the RBSs of different viruses with different hosts have different entropies, and the RBSs in HA1 with different hosts have different favorite amino acid sequences. The 3D modeling indicates the subtly conformation changes in the 190 helix region between different HA1s in H1N1. This study explores new characters of the RBS structure in different HA1s, and provides new information for the further investigation of the infection mechanism.

Construction of a chloroplast protein interaction network and functional mining of photosynthetic proteins in Arabidopsis thaliana.

Chloroplast is a typical plant cell organelle where photosynthesis takes place. In this study, a total of 1,808 chloroplast core proteins in Arabidopsis thaliana were reliably identified by combining the results of previously published studies and our own predictions. We then constructed a chloroplast protein interaction network primarily based on these core protein interactions. The network had 22,925 protein interaction pairs which involved 2,214 proteins. A total of 160 previously uncharacterized proteins were annotated in this network. The subunits of the photosynthetic complexes were modularized, and the functional relationships among photosystem I (PSI), photosystem II (PSII), light harvesting complex of photosystem I (LHC I) and light harvesting complex of photosystem I (LHC II) could be deduced from the predicted protein interactions in this network. We further confirmed an interaction between an unknown protein AT1G52220 and a photosynthetic subunit PSI-D2 by yeast two-hybrid analysis. Our chloroplast protein interaction network should be useful for functional mining of photosynthetic proteins and investigation of chloroplast-related functions at the systems biology level in Arabidopsis.

Gene expression profiling-based in silico approach to identify potential vaccine candidates and drug targets against B. pertussis and B. parapertussis.

Whooping cough (pertussis) caused by B. pertussis (B.p) is still serious public health threat. B. parapertussis (B.pp), closely related to B.p, also causes whooping cough. The incidence of B.pp infections has been increasing over the last decades, partly because pertussis vaccines have low efficiency against B.pp infections. Moreover, because the majority of pertussis patients are infants, common antimicrobial agents producing serious adverse reactions in infants are not fully satisfactory. Therefore, we try to identify potential vaccine candidates and alternative drug targets against both B.p and B.pp. This preliminary work integrates several different kinds of data from in silico analysis, comparative genomic hybridization, global transcriptional profiling, and protein-protein interaction (PPI) network to screen potential vaccine candidates and drug targets against the two species. Finally, 191 potential crossprotective vaccine candidates are identified. They have high transcriptional levels in both species, or are associated with virulence and pathogenesis. Moreover, these proteins are not only potentially surface-exposed in the bacteria, but also well conserved among the 165 B.p and B.pp strains. Among them, 22 candidates with high essentiality in the two PPI networks of B.p and B.pp are regarded as suitable drug targets against the two species. We just selected Bordetella as an example to develop a rapid and reliable approach for screening alternative drug targets that associated with novel protein pathways, complexes, and cellular functions against these antibiotic-resistant pathogens. Further researches focusing on the 191 vaccine candidates could accelerate the development of more effective vaccines and drug therapy against B.p and B.pp infection.

Construction of eukaryotic expression plasmid human transforming growth factor beta3 and its transfection into precartilaginous stem cells.

OBJECTIVE: To obtain seed cells for cartilage repair through constructing recombinant human transforming growth factor beta3 vector (hTGF-beta3) and transfecting it into rat's precartilaginous stem cells (PSCs). METHODS: Gene engineering technique was introduced to construct eukaryotic expression plasmid pcDNA3.1 (+)-hTGF-beta3. PSCs of rats were isolated and purified with method of immunomagnetic microbeads. Then PSCs were cotransfected with plasmid hTGF-beta3 and pcDNA3.1 (+)-enhanced green fluorescence protein (EGFP) by liner polyethyleneimine (PEI). And 48 hours later the transient expression of EGFP was observed under a fluorescence microscope, and the expression of hTGF-beta3 was detected with reverse transcription-polymerase chain reaction (RT-PCR) and enzyme linked immunosorbent assay (ELISA). RESULTS: The sequences of the recombinants were consistent with that from Genebank. Cotransfection of EGFP provided fast visual confirmation of successful transduction. The hTGF-beta3 mRNA and protein expression could be detected by RT-PCR and ELISA. CONCLUSIONS: The recombinant plasmid is correctly constructed and successfully transfected into rat's PSCs, which is an important step to treat epiphyseal injury or other osteo-cartilage diseases with transgenic therapy.

[Polymorphism of DYS287 on Y chromosome in 28 ethnic populations of China].

OBJECTIVE: To investigate the polymorphism of DYS287 among 28 ethnic populations in 9 provinces of China. METHOD: YAP element was detected by Touchdown PCR amplification and 2% agarose gel electrophoresis. RESULTS: YAP+ frequencies in these ethnic populations were as follows: Zang 36.7%, Tu 23.8%, Yi 18.4%, Pumi 11.3%, Tajik 7.4%, Bai 6.7%, Jino 5.1%, Shandong Han 4%, Mulao 2.7%, and Maonan 1.3%. The rest ethnic populations in our study, including Gansu Han, Yunnan Han, Zhuangzu, Daizu, Lizu, Nuzu, Lisu, Naxi, Lahu, Dulong, Hani, Shezu, Weiwuer, Sala, Kerkizi, Dongxiang, Vazu, and Korea didn't carry YAP + element. CONCLUSIONS: Zangzu, Tuzu, Yizu, Pumi, Jino, and Baizu, which belong to Sino-Tibetan language family, carry a high YAP + frequency. Sala, Tuzu, and Tajik, regarded as Central Asia by origin in history and linguistics, also have a high YAP + frequency. Mulao and Maonan, which origin from "Baiyue" ancient ethnic groups, also have a considerable YAP + frequency.

Computational methods for protein-protein interaction and their application.

Protein-protein interactions play a central role in numerous processes in cell and are one of the main research fields in current functional proteomics. The increase of finished genomic sequences has greatly stimulated the progress for detecting the functions of the genes and their encoded proteins. As complementary ways to the high through-put experimental methods, various methods of bioinformatics have been developed for the study of the protein-protein interaction. These methods range from the sequence homology-based to the genomic-context based. Recently, it tends to integrate the data from different methods to build the protein-protein interaction network, and to predict the protein function from the analysis of the network structure. Efforts are ongoing to improve these methods and to search for novel aspects in genomes that could be exploited for function prediction. This review highlights the recent advances of the bioinformatics methods in protein-protein interaction researches. In the end, the application of the protein-protein interaction has also been discussed.

[Analysis and application of SNP and haplotype in the human genome].

Single nucleotide polymorphism (SNP) is the most common type of genetic variant in human genome. Haplotype, defined as a specific set of alleles observed on a single chromosome, or a part of a chromosome,has been an integral part of human genetics for decades. The goal of the international HapMap project is to determine the common patterns of DNA sequence variation and find the Tag SNPs representing all SNPs in the human genome. Some studies demonstrated that the analyses of haplotype defined by the grouping and interaction of several variants rather than any individual SNP correlated with complex phenotypes. Here, we describe the definitions of SNPs, genotype, haplotype and some information of the HapMap project. In this review, we summarize the current three haplotype-inference methods, including Clark' method, EM algorithm and Byes approach, and the different defining methods for haplotype block, as well as the methods for choosing tag SNPs and association studies of complex diseases using haplotype. The major public SNP databases and applications of SNPs and haplotype in common complex diseases and drug response are also introduced in the paper.

Synthetic peptides derived from SARS coronavirus S protein with diagnostic and therapeutic potential.

The spike (S) protein of severe acute respiratory syndrome coronavirus (SARS-CoV) is an important viral structural protein. Based on bioinformatics analysis, 10 antigenic peptides derived from the S protein sequence were selected and synthesized. The antigenicity and immunoreactivity of all the peptides were tested in vivo and in vitro. Four peptides (P6, P8, P9 and P10) which contain B cell epitopes of the S protein were identified, and P8 peptide was confirmed in vivo to have a potential in serological diagnosis. By using a syncytia formation model, we tested the neutralization ability of all 10 peptides and their corresponding antibodies. It is interesting to find that P8 and P9 peptides inhibited syncytia formation, suggesting that the P8 and P9 spanning regions may provide a good target for anti-SARS-CoV drug design. Our data suggest that we have identified peptides derived from the S protein of SARS-CoV, which are useful for SARS treatment and diagnosis.

Association between alcohol, smoking and HLA-DQA1*0201 genotype in psoriasis.

Psoriasis is a chronic skin disease triggered by genetic, environment or other risk factors such as infection, drugs, stress, moisture, alcohol, and smoking. A major psoriasis susceptibility locus at 6p21.3 has been identified. Further studies found that HLA-DQA1*0201 allele was associated with psoriasis. However, there were few data exploring an association between the environmental factors and susceptibility genes. In this study, the samples of 189 patients with psoriasis and 333 healthy controls were collected with their consent and were carried on analysis through polymerase chain reaction sequence-specific primer (PCR-SSP) method. The proportion of male psoriasis patients engaging in the smoking and alcohol was much higher than that of the control group (P<0.005). The HLA-DQA1*0201 allele was present at significantly higher frequency in the patients with psoriasis (OR=4.25, P<1.0 x 10(-6)). Association was found between smoking, alcohol and HLA-DQA1*0201 in male patients with psoriasis (OR>6.91, P<1.0 x 10(-4)).

Development of genome-wide DNA polymorphism database for map-based cloning of rice genes.

DNA polymorphism is the basis to develop molecular markers that are widely used in genetic mapping today. A genome-wide rice (Oryza sativa) DNA polymorphism database has been constructed in this work using the genomes of Nipponbare, a cultivar of japonica, and 93-11, a cultivar of indica. This database contains 1,703,176 single nucleotide polymorphisms (SNPs) and 479,406 Insertion/Deletions (InDels), approximately one SNP every 268 bp and one InDel every 953 bp in rice genome. Both SNPs and InDels in the database were experimentally validated. Of 109 randomly selected SNPs, 107 SNPs (98.2%) are accurate. PCR analysis indicated that 90% (97 of 108) of InDels in the database could be used as molecular markers, and 68% to 89% of the 97 InDel markers have polymorphisms between other indica cultivars (Guang-lu-ai 4 and Long-te-pu B) and japonica cultivars (Zhong-hua 11 and 9522). This suggests that this database can be used not only for Nipponbare and 93-11, but also for other japonica and indica cultivars. While validating InDel polymorphisms in the database, a set of InDel markers with each chromosome 3 to 5 marker was developed. These markers are inexpensive and easy to use, and can be used for any combination of japonica and indica cultivars used in this work. This rice DNA polymorphism database will be a valuable resource and important tool for map-based cloning of rice gene, as well as in other various research on rice (http://shenghuan.shnu.edu.cn/ricemarker).

mRNA expression profiling reveals a role of Helicobacter pylori vacuolating toxin in escaping host defense.

AIM: To study the immune response of host to Helicobacter pylori VacA. METHODS: The monocyte/macrophage-like U937 cells were infected with Helicobacter pylori vacA-positive strain NCTC 11638 or isogenic vacA-negative mutant. Differentially expressed genes were identified at 2, 6, 10, and 24 h post-infection by cDNA microarray. Differential expressions of some genes were confirmed by Northern blot. RESULTS: More than 100 genes altered their mRNA expression at different time points respectively, many of which were identified to be related to immune evasion. CONCLUSION: VacA is a crucial element for H pylori to escape from host immune defense by means of differentially regulating the expression of some related genes. These genes, previously known or unknown to be involved in the mechanism of immune evasion, deserve further investigation to unearth much more information complicated in the immune response.

Identification of an epitope of SARS-coronavirus nucleocapsid protein.

The nucleocapsid (N) protein of severe acute respiratory syndrome-coronavirus (SARS-CoV) is a major virion structural protein. In this study, two epitopes (N1 and N2) of the N protein of SARS-CoV were predicted by bioinformatics analysis. After immunization with two peptides, the peptides-specific antibodies were isolated from the immunized rabbits. The further experiments demonstrated that N1 peptide-induced polyclonal antibodies had a high affinity to bind to E. coli expressed N protein of SARS-CoV. Furthermore, it was confirmed that N1 peptide-specific IgG antibodies were detectable in the sera of severe acute respiratory syndrome (SARS) patients. The results indicated that an epitope of the N protein has been identified and N protein specific Abs were produced by peptide immunization, which will be usefull for the study of SARS-CoV.

Putative hAPN receptor binding sites in SARS_CoV spike protein.

AIM: To obtain the information of ligand-receptor binding between the S protein of SARS-CoV and CD13, identify the possible interacting domains or motifs related to binding sites, and provide clues for studying the functions of SARS proteins and designing anti-SARS drugs and vaccines. METHODS: On the basis of comparative genomics, the homology search, phylogenetic analyses, and multi-sequence alignment were used to predict CD13 related interacting domains and binding sites in the S protein of SARS-CoV. Molecular modeling and docking simulation methods were employed to address the interaction feature between CD13 and S protein of SARS-CoV in validating the bioinformatics predictions. RESULTS: Possible binding sites in the SARS-CoV S protein to CD13 have been mapped out by using bioinformatics analysis tools. The binding for one protein-protein interaction pair (D757-R761 motif of the SARS-CoV S protein to P585-A653 domain of CD13) has been simulated by molecular modeling and docking simulation methods. CONCLUSION: CD13 may be a possible receptor of the SARS-CoV S protein, which may be associated with the SARS infection. This study also provides a possible strategy for mapping the possible binding receptors of the proteins in a genome.

A 3D model of SARS_CoV 3CL proteinase and its inhibitors design by virtual screening.

AIM: To constructed a three-dimensional (3D) model for the 3C like (3CL) proteinase of SARS coronavirus (SARS-CoV), and to design inhibitors of the 3CL proteinase based on the 3D model. METHODS: Bioinformatics analyses were performed to search the homologous proteins of the SARS-CoV 3CL proteinase from the GenBank and PDB database. A 3D model of the proteinase was constructed by using homology modeling technique. Targeting to the 3D model and its X-ray crystal structure of the main proteinase (Mpro) of transmissible gastroenteritis virus (TGEV), virtual screening was performed employing molecular docking method to identify possible 3CL proteinase inhibitors from small molecular databases. RESULTS: Sequence alignment indicated that the SARS-CoV 3CL proteinase was extremely homologous to TGEV Mpro, especially the substrate-binding pocket (active site). Accordingly, a 3D model for the SARS-CoV 3CL proteinase was constructed based on the crystal structure of TGEV Mpro. The 3D model adopts a similar fold of the TGEV Mpro, its structure and binding pocket feature are almost as same as that of TGEV Mpro. The tested virtual screening indicated that 73 available proteinase inhibitors in the MDDR database might dock into both the binding pockets of the TGEV Mpro and the SARS-CoV 3CL proteinase. CONCLUSIONS: Either the 3D model of the SARS-CoV 3CL proteinase or the X-ray crystal structure of the TGEV Mpro may be used as a starting point for design anti-SARS drugs. Screening the known proteinase inhibitors may be an appreciated shortcut to discover anti-SARS drugs.