Pengaruh Penghargaan (Reward) Dan Motivasi Berprestasi Terhadap Prestasi Kerja Guru SMA Negeri Di Kabupaten Sukabumi

This study aims to determine the effect of (1) rewrad, (2) achievement motivation, (3) performance of teachers working SMAN Negeri District of SukabumI. In the data analysis, this study used a survey method using a causal analysis technique Strip . This study used a sample of 150 teachers in six high schools in District of Sukabumi are selected using Slovin formula.The results showed that : first, there are positive influence between the rewrad and performance of teachers in schools . Secondly, there is a positive effect between achievement motivation and performance of teachers in schools. Third, there is a positive effect between the reward and achievement motivatioan of teachers in schools

Atomic force microscopy fishing and mass spectrometry identification of gp120 on immobilized aptamers

Atomic force microscopy (AFM) was applied to carry out direct and label-free detection of gp120 human immunodeficiency virus type 1 envelope glycoprotein as a target protein. This approach was based on the AFM fishing of gp120 from the analyte solution using anti-gp120 aptamers immobilized on the AFM chip to count gp120/aptamer complexes that were formed on the chip surface. The comparison of image contrasts of fished gp120 against the background of immobilized aptamers and anti-gp120 antibodies on the AFM images was conducted. It was shown that an image contrast of the protein/aptamer complexes was two-fold higher than the contrast of the protein/antibody complexes. Mass spectrometry identification provided an additional confirmation of the target protein presence on the AFM chips after biospecific fishing to avoid any artifacts

Gene-centric coverage of the human liver transcriptome: QPCR, Illumina, and Oxford Nanopore RNA-Seq

It has been shown that the best coverage of the HepG2 cell line transcriptome encoded by genes of a single chromosome, chromosome 18, is achieved by a combination of two sequencing platforms, Illumina RNA-Seq and Oxford Nanopore Technologies (ONT), using cut-off levels of FPKM > 0 and TPM > 0, respectively. In this study, we investigated the extent to which the combination of these transcriptomic analysis methods makes it possible to achieve a high coverage of the transcriptome encoded by the genes of other human chromosomes. A comparative analysis of transcriptome coverage for various types of biological material was carried out, and the HepG2 cell line transcriptome was compared with the transcriptome of liver tissue cells. In addition, the contribution of variability in the coverage of expressed genes in human transcriptomes to the creation of a draft human transcriptome was evaluated. For human liver tissues, ONT makes an extremely insignificant contribution to the overall coverage of the transcriptome. Thus, to ensure maximum coverage of the liver tissue transcriptome, it is sufficient to apply only one technology: Illumina RNA-Seq (FPKM > 0)

The Size of the Human Proteome: The Width and Depth

This work discusses bioinformatics and experimental approaches to explore the human proteome, a constellation of proteins expressed in different tissues and organs. As the human proteome is not a static entity, it seems necessary to estimate the number of different protein species (proteoforms) and measure the number of copies of the same protein in a specific tissue. Here, meta-analysis of neXtProt knowledge base is proposed for theoretical prediction of the number of different proteoforms that arise from alternative splicing (AS), single amino acid polymorphisms (SAPs), and posttranslational modifications (PTMs). Three possible cases are considered: (1) PTMs and SAPs appear exclusively in the canonical sequences of proteins, but not in splice variants; (2) PTMs and SAPs can occur in both proteins encoded by canonical sequences and in splice variants; (3) all modification types (AS, SAP, and PTM) occur as independent events. Experimental validation of proteoforms is limited by the analytical sensitivity of proteomic technology. A bell-shaped distribution histogram was generated for proteins encoded by a single chromosome, with the estimation of copy numbers in plasma, liver, and HepG2 cell line. The proposed metabioinformatics approaches can be used for estimation of the number of different proteoforms for any group of protein-coding genes

Molecular evolution of P450 superfamily and P450-containing monooxygenase systems

AbstractThis paper reviews the classification of the P450 superfamily which is mainly based on sequence homology. The widely accepted classification by Nebert et al. [(1991) DNA Cell Biol. 10, 1-14] as well as the results of a ‘two-step’ multiple sequence alignment technique show that the molecular evolution of P450s, in contrast to that of many protein families, does not follow phylogeny. The data suggest that during the evolution of P450s, gene duplications and gene fusions, horizontal gene transfer and intron loss events have occurred. ‘Weak’ and ‘strong’ hierarchies in the clustering of P450 sequences were revealed. A novel evolutionary tree of the P450 superfamily has been constructed using a multiple alignment of consensus sequences. The simple classification of known P450-containing monooxygenase systems into three-, two- and one-component systems is further discussed. Particularly, the multidomain enzyme, nitric oxide synthase (NOS), should be classified as an example of a eukaryotic one-component P450 system since its N-terminal (haem) domain exhibits similarity with microsomal P450s