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The existence of Micro, Small, and Medium Enterprises (MSMEs), which constitute the largest share in the national economy, is an indicator of the level of community participation in various economic sectors. UMKM towards the environment that is approved by tax, alms, CSR, and business benefit. The method of analysis uses descriptive analysis. Data collection using observations, questionnaires, and direct interviews to 250 MSMEs engaged in batik and grocery stores in Surakarta. 66.8% MSMEs have not paid taxes and 33.2% MSMEs have paid taxes, 96.8% MSMEs in Surakarta have done shodaqoh, 60.8% MSMEs in Surakarta have not done CSR and 37.2% are actively doing CSRs, 85, 6% of MSMEs stated that their businesses provided benefits for the community, while for the community about the business environment. Other findings show that MSMEs who have paid business taxes are long-term business groups, have permanent businesses, and have large-scale relationships and most MSMEs do not do CSR more because they have not seen the benefits of CSR activities.

Over the past decade, long noncoding RNAs (lncRNAs) have emerged as novel functional entities of the eukaryotic genome. However, the scientific community remains divided over the amount of true noncoding transcripts among the large number of unannotated transcripts identified by recent large scale and deep RNA-sequencing efforts. Here, we systematically exclude possible technical reasons underlying the absence of lncRNA-encoded proteins in mass spectrometry data sets, strongly suggesting that the large majority of lncRNAs is indeed not translated.

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. We suggest an improved software pipeline for mixture analysis. The improvements include combining tandem MS and 2D NMR data for a reliable identification of its constituents in an algorithm based on network analysis aiming for a robust and reliable identification routine. An important part of this pipeline is the use of open-data repositories, although it is not totally reliant on them. The NMR identification step emphasizes robustness and is less sensitive towards changes in data acquisition and processing than existing methods. The process starts with a LC-ESI-MSMS based molecular network dereplication using data from the GNPS collaborative collection. We identify closely related structures by propagating structure elucidation through edges in the network. Those identified compounds are added on top of a candidate list for the following NMR filtering method that predicts HSQC and HMBC NMR data. The similarity of the predicted spectra of the set of closely related structures to the measured spectra of the mixture sample is taken as one indication of the most likely candidates for its compounds. The other indication is the match of the spectra to clusters built by a network analysis from the spectra of the mixture. The sensitivity gap between NMR and MS is anticipated and it will be reflected naturally by the eventual identification of fewer compounds, but with a higher confidence level, after the NMR analysis step. The contributions of the paper are an algorithm combining MS and NMR spectroscopy and a robust nJCH network analysis to explore the complementary aspect of both techniques. This delivers good results even if a perfect computational separation of the compounds in the mixture is not possible. All the scripts will be made available online for users to aid studies such as with plants, marine organisms, and microorganism natural product chemistry and metabolomics as those are the driving force for this project.

International audience; The final chemical structure of a newly synthesized protein is often only attained after further covalent modification. Ideally, a comprehensive proteome analysis includes this aspect, a task that is complicated by our incomplete knowledge of the range of possible modifications and often by the lack of suitable analysis methods. Here we present two recently discovered, unusual forms of protein glycosylation, i.e. C-mannosylation and O-fucosylation. Their analysis by a combined mass spectrometric approach is illustrated with peptides from the thrombospondin type 1 repeats (TSRs) of the recombinant axonal guidance protein F-spondin. Nano-electrospray ionization tandem-mass spectrometry of isolated peptides showed that eight of ten Trp residues in the TSRs of F-spondin are C-mannosylated. O-Fucosylation sites were determined by a recently established nano-electrospray ionization quadrupole time-of-flight tandem-mass spectrometry approach. Four of five TSRs carry the disaccharide Hex-dHex-O-Ser/Thr in close proximity to the C-mannosylation sites. In analogy to thrombospondin-1, we assume this to be Glc-Fuc-O-Ser/Thr. Our current knowledge of these glycosylations will be discussed.