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Tracing active members in microbial communities by BONCAT and click chemistry-based enrichment of newly synthesised proteins

ABSTRACT: Metaproteomics enables the description of microbial communities (MC). Microbial adaptation to changing environments is conducted by expressing newly synthesized proteins (nP) that can be difficult to distinguish from background proteins. Focusing on nP would add a new dimension to the metaproteomics of MC. Bioorthogonal non-canonical amino acid tagging (BONCAT) is a promising approach to label nP without significantly influencing the natural behavior of MC. However, direct detection of the BONCAT-labeled nP is limited due to their low abundance compared to total protein. Consequently, enrichment of the BONCAT-labeled nP is essential. We present a workflow using click chemistry (CC) and affinity chromatography to isolate nP from MC. The workflow was developed using a mixture of E. coli (labeled) and yeast (unlabeled control) as a test system. The established workflow was also applied to an MC of a laboratory biogas reactor (LBR).

INSTRUMENT(S): Bruker Daltonics timsTOF series

ORGANISM(S): Anaerobic Digester Metagenome Escherichia Coli (strain K12 / W3110 / Atcc 27325 / Dsm 5911) Saccharomyces Cerevisiae (baker's Yeast)

SUBMITTER: Patrick Hellwig

LAB HEAD: Prof. Dr.

PROVIDER: PXD047252 | Pride | 2024-10-17

REPOSITORIES: Pride

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Source:

			Action	DRS
	06072023_metagenome.fasta	Fasta
	0c37d40e3bae4a68___unpurified_AHA_BB6_1_5646_6.0.434.mgf.export.F013581.dat	Mgf
	6328898475a866e7___Amino_Elution_Kontrolle_R2_RA5_1_5597_6.0.434.mgf.export.F013498.dat	Mgf
	78de006b6854af74___Amino_Beadsboiled_Kontrolle_R3_RB1_1_5603_6.0.434.mgf.export.F013509.dat	Mgf
	79a4c9a31bfb7585___unpurified_kontrolle_BB5_1_5643_6.0.434.mgf.export.F013575.dat	Mgf

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Project description:A Metaproteomic Workflow for Sample Preparation and Data Analysis Applied to Mouse Faeces: 1 MTD project_description Many diseases have been associated with gut microbiome abnormalities. The root cause of such diseases is not only due to bacterial dysbiosis, but also to change in bacterial functions, which are best studied by proteomic approaches. Although bacterial proteomics is well established, metaproteomics is hindered by challenges associated with the sample physical structure, contaminating proteins, the simultaneous analysis of hundreds of species and the subsequent data analysis. Here, we present a systematic assessment of sample preparation and data analysis methodologies applied to LC-MS/MS metaproteomics experiment. We could show that low speed centrifugation (LSC) has a significant impact on both peptide identifications and reproducibility. LSC led to increase in peptide and proteins identifications compare to no LSC. Notably, the dominant bacterial phyla, i.e. Firmicutes and Bacteroidetes, showed divergent representation between LSC and no-LSC. In terms of data processing, protein sequence databases derived from mouse faeces metagenome provided at least four times more MS/MS identification compared to databases of concatenated single organisms. We also demonstrated that two-steps database search strategy comes at the expense of a dramatic rise in number of false positives compared to single-step strategy. Overall, we found a positive correlation between matching metaproteome and metagenome abundance, which could be linked to core microbial functions, such as glycolysis-gluconeogenesis, citrate cycle and carbon metabolism. We observed significant overlap and correlation at the phylum, class, order and family taxonomic levels between taxonomy-derived from metagenome and metaproteome. Notably, nearly all functional categories (e.g., membrane transport, translation, transcription) were differentially abundant in the metaproteome (activity) compared to what would be expected from the metagenome (potential). In conclusion, these results highlight the need to perform metaproteomics when studying complex microbiome samples.

Project description:A diet rich in nucleic acids and protamin protein, termed as nucleoprotein (NP), has been attracting a great deal of attention in food science for its beneficial effects. In the present study, we performed a global gene expression profiling in mice fed with NP diet rich in nucleoproteins from the salmon testis. Since our recent research has revealed anti-inflammatory effect of the NP diet, we induced inflammation by lipopolysaccharide (LPS) injection in the mice for this analysis study. Mice were fed with NP diet for 4 weeks followed by a single injection of LPS. The liver and spleen were removed 6 h post-LPS injection. Total RNA extracted from livers (L) and spleens (S) was pooled in each group (control and NP diet), prior to DNA microarray analysis (Agilent mouse whole genome 4 x 44K). Results revealed 322 & 702 up (>1.5 fold)- and down (<0.75 fold)-regulated genes in the liver, and 325 & 501 up- and down-regulated genes in the spleen, respectively following NP diet. Analysis of genes related to inflammation suggests increased activity of immune function during acute period of LPS injection, which may contribute to early demise of inflammation. NP diet can be expected to be useful for inhibition of inflammatory reactions whose over-accumulation is thought to be related to the acceleration of aging process. To investigate the effect of NP, we added S-nuclegen® at a concentration of 1.2% into CLEA basic purified diet (CLEA JAPAN, Inc., Tokyo, Japan) known to include nucleic acids (NAs) at much lower amounts than standard diet. By HPLC analysis CLEA basic purified diet (low NP), and 1.2% NP diet included 0.03%, and 0.5% NAs, respectively. Male C57BL/6J mice (7 weeks) were fed with NP diet for 4 weeks followed by a single injection of LPS at a dose of 10 mg/kg. The liver and spleen were removed 6 h post-LPS injection. Total RNA extracted from livers and spleens was pooled in each group (control and NP diet), prior to DNA microarray analysis (Agilent mouse whole genome 4 x 44K).

Project description:Bone mineral density and structure candidate gene analysis in alcohol-non-preferring (NP), alcohol-preferring (P), congenic NP (NP.P) and congenic P (P.NP) rats; Genetic mapping in alcohol-preferring (P) and alcohol-non-preferring (NP) rats has identified a major quantitative trait locus (QTL) in the region between q22 â?? q34 on chromosome (Chr) 4 for alcohol preference. In a separate genome-wide linkage study, using inbred Fischer 344 (F344) and Lewis (LEW) rats, several QTL linked to bone density and structure were identified at the same location suggesting that bone mass and strength genes might co-segregate with genes that regulate the alcohol preference trait. The aim of this study is to identify the genes segregating for skeletal phenotypes and alcohol trait in congenic P/NP rats. We compared bone mineral content (BMC), areal/volumetric bone mineral density (aBMD/vBMD) and biomechanical strength at different skeletal sites from 6-month-old inbred and congenic P/NP rats. Transfer of the NP Chr 4 QTL into P background significantly increased body weight but decreased BMC, aBMD/vBMD in whole body, cranium, femur, and lumbar vertebrae. On the other hand, transfer of P Chr 4 QTL into NP background significantly decreased body weight but increased BMC and aBMD in the same skeletal sites. Microarray analysis was performed from the femurs of 4-week-old rats (n = 5 per strain) using Affymetrix Rat Genome 230 2.0 arrays. A total of 53 genes, including 41 candidate genes and 12 predicted genes, were differentially expressed among all strains of rats with a false discovery rate (FDR) less than 10%. Several candidate genes from microarray analysis were found to be were strongly correlated (r2>0.50) with different skeletal phenotypes. Gene expression of top 3 candidate genes from microarray profiling was validated by quantitative real-time PCR (qRT-PCR). Ingenuity pathway analysis revealed relationships among the candidate genes related to bone metabolism including pathways related to beta-estradiol, tumor necrosis factor and androgen receptor. Experiment Overall Design: Comparison of differentially expressed genes between 4q22-4q34 on chromosome 4 in NP, P, NP.P and P.NP rats.

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Tracing active members in microbial communities by BONCAT and click chemistry-based enrichment of newly synthesised proteins

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