Dataset Information

Ariadne’s Thread in the Analytical Labyrinth of Membrane Proteins – Integration of Targeted and Shotgun Proteomics for Global Absolute Quantification of Membrane Proteins

ABSTRACT: The field of systems biology has been rapidly increasing in the past decade. However, the data produced by “omics” approaches is lagging behind the requirements of this field, especially when it comes to absolute abundances of membrane proteins. In the present study, a novel approach for large-scale absolute quantification of this challenging subset of proteins has been established and evaluated using osmotic stress management in the Gram-positive model bacterium Bacillus subtilis as proof of principle precedent. Selected membrane proteins were labelled using a SNAP-tag, which allowed to visually inspect the enrichment of the membrane fraction by immunoassays. Absolute membrane protein concentrations were determined via shotgun proteomics by spiking crude membrane extracts of chromosomally SNAP-tagged and wild-type B. subtilis strains with protein standards of known concentration. Shotgun data was subsequently calibrated by targeted mass spectrometry using SNAP as an anchor protein, and an enrichment factor was calculated in order to obtain membrane protein copy numbers/µm2. The presented approach enabled the accurate determination of physiological changes resulting from imposed hyperosmotic stress, thereby offering a clear visualization of alterations in membrane protein arrangements and shedding light on putative membrane complexes. This straightforward and cost-effective methodology for quantitative proteome studies can be implemented by any research group with mass-spectrometry expertise. Importantly, it can be applied to the full spectrum of physiologically relevant conditions, ranging from environmental stresses to the biotechnological production of small molecules and proteins, which relies heavily on B. subtilis.

INSTRUMENT(S): TSQ Vantage, LTQ Orbitrap Elite

ORGANISM(S): Bacillus Subtilis Subsp. Subtilis Str. 168

SUBMITTER: Minia Antelo

LAB HEAD: Dörte Becher

PROVIDER: PXD014272 | Pride | 2019-08-26

REPOSITORIES: Pride

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			Action	DRS
	180309_VE1_PM4_ThS_MA_S_Trap_1h_01.raw	Raw
	180309_VE1_PM4_ThS_MA_S_Trap_1h_02.raw	Raw
	180309_VE1_PM4_ThS_MA_S_Trap_1h_03.raw	Raw
	180314_VE1_PM4_ThS_MA_In_Solution_01.raw	Raw
	180314_VE1_PM4_ThS_MA_In_Solution_02.raw	Raw

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Ariadne's Thread in the Analytical Labyrinth of Membrane Proteins: Integration of Targeted and Shotgun Proteomics for Global Absolute Quantification of Membrane Proteins.

Antelo-Varela Minia M Bartel Jürgen J Quesada-Ganuza Ane A Appel Karen K Bernal-Cabas Margarita M Sura Thomas T Otto Andreas A Rasmussen Michael M van Dijl Jan Maarten JM Nielsen Allan A Maaß Sandra S Becher Dörte D

Analytical chemistry 20190903 18

The field of systems biology has been rapidly developing in the past decade. However, the data produced by "omics" approaches is lagging behind the requirements of this field, especially when it comes to absolute abundances of membrane proteins. In the present study, a novel approach for large-scale absolute quantification of this challenging subset of proteins has been established and evaluated using osmotic stress management in the Gram-positive model bacterium <i>Bacillus subtilis</i> as proo ...[more]

PMID: 31424929

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Project description:Background. Bacillus subtilis is a favorable host for the production of industrially relevant proteins because of its capacity of secreting proteins into the medium to high levels, its GRAS (Generally Recognized As Safe) status, its genetic accessibility and its capacity to grow in large fermentations. However, production of heterologous proteins still faces limitations. Results. This study aimed at the identification of bottlenecks in secretory protein production by analyzing the response of B. subtilis at the transcriptome level to overproduction of eight secretory proteins of endogenous and heterologous origin and with different subcellular or extracellular destination: secreted proteins (NprE and XynA of B. subtilis, Usp45 of Lactococcus lactis, TEM-1beta -lactamase of Escherichia coli), membrane proteins (LmrA of L. lactis and XylP of Lactobacillus pentosus) and lipoproteins (MntA and YcdH of B. subtilis). Responses specific for proteins with a common localization as well as more general stress responses were observed. The latter include upregulation of genes encoding intracellular stress proteins (groES/EL, CtsR regulated genes). Specific responses include upregulation of the liaIHGFSR operon under Usp45 and TEM-1 beta-lactamase overproduction; cssRS, htrA and htrB under all secreted proteins overproduction; sigW and SigW-regulated genes mainly under membrane proteins overproduction; and ykrL (encoding an HtpX homologue) specifically under membrane proteins overproduction. Conclusions. The results give better insights into B. subtilis responses to protein overproduction stress and provide potential targets for genetic engineering in order to further improve B. subtilis as a protein production host. Samples for transcriptome analyses were induced at the exponential-growth phase (OD600 = 0.7) with 0.1% subtilin (subtilin containing supernatant of subtilin producing B. subtilis strain ATCC 6633). Cells were harvested 30 min after induction. Three or four independent cultures of each strain (target strains and controls) were used, and cells were sampled for microarray experiment.

Project description:Kaposi’s sarcoma-associated herpesvirus (KSHV) is the etiologic agent of primary effusion lymphoma (PEL). All PEL cell lines are infected with KSHV, and 70% are co-infected with Epstein-Barr Virus (EBV). KSHV reactivation from latency requires promoter-specific transactivation by the KSHV Rta protein through interactions with RBP-Jk (CSL), the cellular DNA binding component of the Notch signal transduction pathway. EBV transformation of primary B cells requires EBV nuclear antigen (EBNA)-2 to interact with RBP-Jk to direct the latent viral and cellular gene expression program. Although KSHV Rta and EBV EBNA-2 both require RBP-Jk for transactivation, previous studies have suggested that RBP-Jk-dependent transactivators do not function identically. We have found that the EBV latent protein LMP-1 is expressed in less than 5% of KSHV+/EBV+ PEL cells, but is induced in an Rta-dependent fashion when KSHV reactivates. KSHV Rta transactivates the EBV latency promoters in an RBP-Jk-dependent fashion and forms a ternary complex with RBP-Jk on the promoters. In B cells that are conditionally transformed by EBV alone, we show that KSHV Rta complements a short-term EBNA2 growth deficiency in an autocrine/paracrine manner. Complementaton of EBNA2-deficiency by Rta depends on RBP-Jk and LMP-1, and Rta transactivation is required for optimal growth of KSHV+/EBV+ PEL lines. Our data suggest that Rta can contribute to EBV-driven cellular growth by transactivating RBP-Jk-dependent EBV latency genes. However, our data also suggest that EBNA2 and Rta induce distinct alterations in the cellular proteomes that contribute to growth of infected cells. EREB2-5 cells were transfected and grown in the presence or absence of β-estradiol, as described. Seven days post-transfection, protein extracts were prepared, and 200 ugs. of each were analyzed using the RayBio Human Apoptosis Antibody Array Kit (RayBiotech) as per manufacturers suggestions. The membranes were exposed to autoradiography film for different times to detect the chemiluminescent signals. Images with signals in linear range were quantitated using the program ImageJ [59]. For each membrane, signals from the negative control spots were averaged, and then subtracted from each of the other spots. A signal was considered valid if its value exceeded both its average local background, and the average of all valid negative control values. Valid signals were normalized using the positive control spots (for cellular BID protein). Fold change in signals for each spot were quantitated by dividing by the valid signals for each corresponding spot on the minus β-estradiol membrane. Average fold change, and standard deviation, were calculated for each protein.