Secretome Proteins Research Articles

Review of the adipose derived stem cell secretome

Recent advances in protein detection and analysis have lead to multiple in depth studies that analyze the adipose-derived stem cell (ASC) secretome. These studies differ significantly in their methods of secretome preparation and analysis. Most of them use a pro-differentiation or pro-inflammatory stimulus to observe differential expression of secreted proteins. In spite of the variance in methodologies used, 68 proteins are reported to be commonly expressed in a majority of the studies and may serve as potential candidates for conserved secretome proteins. Multiple recent clinical and basic science studies demonstrate the beneficial role played by secreted proteins in augmenting ASC effects in scenarios involving angiogenesis, wound healing, tissue regeneration and immunomodulation. Furthermore, 3-D formulations of ASCs that preserve the niche environment of cells and their secreted proteins have also shown enhanced clinical effects. In light of the lack of uniformity in prior secretome-analysis studies, and the growing clinical importance of the ASC secretome, more in depth studies that use uniform and standardized means of protein detection and analysis are necessary.

Secretome Prediction and Analysis in Sacred Lotus (Nelumbo nucifera Gaertn.)

Sacred lotus, Nelumbo nucifera (Gaertn.), is a basal eudicot with agricultural and medicinal importance. The secretome and proteins in some other subcellular locations including endoplasmic reticulum (ER), mitochondrion, chloroplast, and membrane of sacred lotus were predicted using a set of computational tools. The distribution of proteins in each subcellular location in sacred lotus was compared with proteins in five other plant species. Plant proteomes contained approximately 6–9 % of secreted proteins, 13–15 % membrane proteins, 12–20 % mitochondrial or chloroplast proteins, respectively. Plant secreted proteins consist of a large number of hydrolases and peroxidases which may contribute to cell wall formation, rhizome development and seed germination regulation. The information of secretome and other protein subcellular locations in sacred lotus and other species can be accessed at the PlantSecKB website ( http://proteomics.ysu.edu/secretomes/plant.php ).

SILAC‐based quantitative proteomic analysis of gastric cancer secretome

Gastric cancer is a commonly occurring cancer in Asia and one of the leading causes of cancer deaths. However, there is no reliable blood-based screening test for this cancer. Identifying proteins secreted from tumor cells could lead to the discovery of clinically useful biomarkers for early detection of gastric cancer. A SILAC-based quantitative proteomic approach was employed to identify secreted proteins that were differentially expressed between neoplastic and non-neoplastic gastric epithelial cells. Proteins from the secretome were subjected to SDS-PAGE and SCX-based fractionation, followed by mass spectrometric analysis on an LTQ-Orbitrap Velos mass spectrometer. Immunohistochemical labeling was employed to validate a subset of candidates using tissue microarrays. We identified 2205 proteins in the gastric cancer secretome of which 263 proteins were overexpressed greater than fourfold in gastric cancer-derived cell lines as compared to non-neoplastic gastric epithelial cells. Three candidate proteins, proprotein convertase subtilisin/kexin type 9 (PCSK9), lectin mannose binding 2 (LMAN2), and PDGFA-associated protein 1 (PDAP1) were validated by immunohistochemical labeling. We report here the largest cancer secretome described to date. The novel biomarkers identified in the current study are excellent candidates for further testing as early detection biomarkers for gastric adenocarcinoma.

Unconventional Secretion is a Major Contributor of Cancer Cell Line Secretomes

A challenge in achieving optimal management of cancer is the discovery of secreted biomarkers that represent useful surrogates for the disease and could be measured noninvasively. Because of the problems encountered in the proteomic interrogation of plasma, secretomes have been proposed as an alternative source of tumor markers that might be enriched with secreted proteins relevant to the disease. However, secretome analysis faces analytical challenges that interfere with the search for true secreted tumor biomarkers. Here, we have addressed two of the main challenges of secretome analysis in comparative discovery proteomics. First, we carried out a kinetics experiment whereby secretomes and lysates of tumor cells were analyzed to monitor cellular viability during secretome production. Interestingly, the proteomic signal of a group of secreted proteins correlated well with the apoptosis induced by serum starvation and could be used as an internal cell viability marker. We then addressed a second challenge relating to contamination of serum proteins in secretomes caused by the required use of serum for tumor cell culture. The comparative proteomic analysis between cell lines labeled with SILAC showed a number of false positives coming from serum and that several proteins are both in serum and being secreted from tumor cells. A thorough study of secretome methodology revealed that under optimized experimental conditions there is a substantial fraction of proteins secreted through unconventional secretion in secretomes. Finally, we showed that some of the nuclear proteins detected in secretomes change their cellular localization in breast tumors, explaining their presence in secretomes and suggesting that tumor cells use unconventional secretion during tumorigenesis. The unconventional secretion of proteins into the extracellular space exposes a new layer of genome post-translational regulation and reveals an untapped source of potential tumor biomarkers and drug targets.

Abstract 5057: Activation of stroma-derived matrix metalloproteinases (MMPs) in a model of gastric cancer.

Abstract Gastric cancer is the second commonest cause of cancer-related death worldwide. Within these tumors, it is increasingly recognised that signaling between myofibroblasts, an important stromal cell type, and cancer cells results in proliferation, invasion and metastasis. However, little is known of the range of proteins secreted by stromal cells ie their secretome, or the contribution of proteases in shaping the extracellular milieu ie the cancer degradome. Using SILAC labeling and combined fractional diagonal chromatography (COFRADIC) we identified and quantified differential abundance and appearance of neo-N-termini (ie cleavage products) in the secretomes of gastric cancer-associated myofibroblasts (CAMs) compared with myofibroblasts from adjacent tissue (ATMs). There was decreased abundance of many proteins in CAM secretomes, but a small sub-set exhibited increased abundance including matrix metalloproteinases (MMP) -1 and -3. Cancer-restricted proteolytic cleavages included cleavage in the prodomains of MMP-1, -2 and -3 consistent with activation. Western blot, enzyme activity and cancer cell migration assays verified significantly increased abundance of active MMP-1, -2 and -3 in CAM media. To establish the in vivo relevance of these findings we utilized a model in which primary gastric CAMs stimulate growth of MKN45 gastric cancer cells in xenografts in nude mice. MMP activity was imaged by fluorescence molecular tomography (FMT) employing MMPSense750 FAST™, which produces a fluorescent signal following MMP cleavage. CAMs enhanced xenograft growth by 6-fold (mean ± SEM, 29.6±21.1 vs 196.8±32.2 mm3 n=12, p=0.004). Using an experimental design that achieved similar volumes for tumors containing MKN45 cells alone and those containing MKN45+CAM, FMT assessment of tumor-related MMP activity in vivo indicated a two-fold increase in CAM-MKN45 xenografts compared with MKN45 cells alone (0.9±0.4 vs 1.8±0.8 fmol/mm3). Stromal cell secretomes therefore contribute to the remodelling of the cancer cell microenvironment by activation of MMPs with consequences for cell migration and tumor growth. This system has potential for in vivo screening of anti-cancer therapies directed at the inhibition of stroma-stimulated tumor growth. Citation Format: Sandhir Kandola, Christopher Holmberg, Bart Ghesquiere, Francis Impens, Kris Gevaert, J. Dinesh Kumar, Nicole Cash, Peter Hegyi, Nikolina Vlatkovic, Timothy Wang, Graham Dockray, Andrea Varro. Activation of stroma-derived matrix metalloproteinases (MMPs) in a model of gastric cancer. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 5057. doi:10.1158/1538-7445.AM2013-5057

Mass spectrometry identification of granins and other proteins secreted by neuroblastoma cells

We used mass spectrometry-based protein identification to determine the presence of granins and other proteins in the mouse neuroblastoma secretome. We detected polypeptides derived from four members of the granin family: chromogranin A, chromogranin B, secretogranin III, and VGF. Many of them are derived from previously described biologically active regions; however, for VGF and CgB, we detected peptides not related to known bioactivities. Along with granins, we identified 115 other proteins secreted by mouse neuroblastoma cells, belonging to different functional categories. Fifty-six out of 119 detected proteins possess the signal fragments required for translocation into endoplasmic reticulum. Sequences of remaining 63 proteins were analyzed using SecretomeP algorithm to determine probability of nonclassical secretion. Identified proteins are involved in the regulation of cell cycle, proliferation, apoptosis, angiogenesis, proteolysis, and cell adhesion.

Secretome proteins as candidate biomarkers for aggressive thyroid carcinomas

Using proteomics in tandem with bioinformatics, the secretomes of nonaggressive and aggressive thyroid carcinoma (TC) cell lines were analyzed to detect potential biomarkers for tumor aggressiveness. A panel of nine proteins, activated leukocyte cell adhesion molecule (ALCAM/CD166), tyrosine-protein kinase receptor (AXL), amyloid beta A4 protein, amyloid-like protein 2, heterogeneous nuclear ribonucleoprotein K, phosphoglycerate kinase 1, pyruvate kinase isozyme M2, phosphatase 2A inhibitor (SET), and protein kinase C inhibitor protein 1 (14-3-3 zeta) was chosen to confirm their expression in TC patients' sera and tissues. Increased presurgical circulating levels of ALCAM were associated with aggressive tumors (p = 0.04) and presence of lymph node metastasis (p = 0.018). Increased serum AXL levels were associated with extrathyroidal extension (p = 0.027). Furthermore, differential expression of amyloid beta A4 protein, AXL, heterogeneous nuclear ribonucleoprotein K, phosphoglycerate kinase 1, pyruvate kinase muscle isozyme M2, and SET was observed in TC tissues compared to benign nodules. Decreased nuclear expression of AXL can detect malignancy with 90% specificity and 100% sensitivity (AUC = 0.995, p < 0.001). In conclusion, some of these proteins show potential for future development as serum and/or tissue-based biomarkers for TC and warrant further investigation in a large cohort of patients.

Defining the Predicted Protein Secretome of the Fungal Wheat Leaf Pathogen Mycosphaerella graminicola

The Dothideomycete fungus Mycosphaerella graminicola is the causal agent of Septoria tritici blotch, a devastating disease of wheat leaves that causes dramatic decreases in yield. Infection involves an initial extended period of symptomless intercellular colonisation prior to the development of visible necrotic disease lesions. Previous functional genomics and gene expression profiling studies have implicated the production of secreted virulence effector proteins as key facilitators of the initial symptomless growth phase. In order to identify additional candidate virulence effectors, we re-analysed and catalogued the predicted protein secretome of M. graminicola isolate IPO323, which is currently regarded as the reference strain for this species. We combined several bioinformatic approaches in order to increase the probability of identifying truly secreted proteins with either a predicted enzymatic function or an as yet unknown function. An initial secretome of 970 proteins was predicted, whilst further stringent selection criteria predicted 492 proteins. Of these, 321 possess some functional annotation, the composition of which may reflect the strictly intercellular growth habit of this pathogen, leaving 171 with no functional annotation. This analysis identified a protein family encoding secreted peroxidases/chloroperoxidases (PF01328) which is expanded within all members of the family Mycosphaerellaceae. Further analyses were done on the non-annotated proteins for size and cysteine content (effector protein hallmarks), and then by studying the distribution of homologues in 17 other sequenced Dothideomycete fungi within an overall total of 91 predicted proteomes from fungal, oomycete and nematode species. This detailed M. graminicola secretome analysis provides the basis for further functional and comparative genomics studies.

Searching for microbial protein over-expression in a complex matrix using automated high throughput MS-based proteomics tools

In the discovery of new enzymes genomic and cDNA expression libraries containing thousands of differential clones are generated to obtain biodiversity. These libraries need to be screened for the activity of interest. Removing so-called empty and redundant clones significantly reduces the size of these expression libraries and therefore speeds up new enzyme discovery. Here, we present a sensitive, generic workflow for high throughput screening of successful microbial protein over-expression in microtiter plates containing a complex matrix based on mass spectrometry techniques. MALDI-LTQ-Orbitrap screening followed by principal component analysis and peptide mass fingerprinting was developed to obtain a throughput of ∼12,000 samples per week. Alternatively, a UHPLC–MS2 approach including MS2 protein identification was developed for microorganisms with a complex protein secretome with a throughput of ∼2000 samples per week. TCA-induced protein precipitation enhanced by addition of bovine serum albumin is used for protein purification prior to MS detection. We show that this generic workflow can effectively reduce large expression libraries from fungi and bacteria to their minimal size by detection of successful protein over-expression using MS.

Proteome-Based Profiling of Hypercellulase-Producing Strains Developed Through Interspecific Protoplast Fusion Between Aspergillus nidulans and Aspergillus tubingensis

Thirty heterokaryons, formed by protoplast fusion of Aspergillus nidulans and Aspergillus tubingensis, were selected on the basis of their ability to grow on 2-deoxyglucose (0.2 %, w/v) and intermediate spore color. These heterokaryons were studied for cellulase production using shake flask and solid substrate cultures at 40 °C. Fusants 51 and 28 exhibited appreciably higher levels of endoglucanase, cellobiohydrolase, β-glucosidase, and FPase activities when compared with parental strains. Employing proteomic-based approaches, the differential expression of proteins in secretome of fusants and parental strains were analyzed using two-dimensional electrophoresis. The expression of some of the proteins in the fusants was found to be up/downregulated. The upregulated proteins in the fusant 51 were identified by liquid chromatography-mass spectroscopy as endoxylanase, endochitinase, β-glucosidase, as well as hypothetical proteins. The cellulases produced by fusants 28 and 51 showed improved saccharification of alkali treated rice straw when compared with the parental strains.

Protein secretome profiles reliably distinguish embryonic stages of development and predict successful IVF outcome

The secreted molecular dialogue of the preimplantation human embryo and the crosstalk with its external environment is a critical factor for reproductive success. The aim of this study was to define the human embryonic protein secretome throughout the preimplantation stage, facilitating a non-invasive method to quantitate embryo developmental potential.

Slower early embryo development in women with polycystic ovary syndrome (PCOS) compared to regularly cycling women (controls)

bryos of different developmental stages and implantation potential. In total, 258 proteins were identified in spent culture media, with 74 uniquely characterized in the human embryonic protein secretome. Day 1 spent culturemedia consisted of 25 unique maternal proteins. All secreted embryonic proteins observed on day 3 (n1⁄416) were also present on day 1 and/or at the blastocyst stage. The blastocyst protein secretome included 54 novel proteins with 33 unique to the blastocyst stage alone. In relation to viable implantation, 12 proteins exhibited increased expression, with known associations to cell signaling. CONCLUSION: This is the first known study to successfully characterize the human embryonic protein secretome from fertilization to the blastocyst stage. Novel proteinswere identified that clearly distinguished a developmentally competent human embryo. In conjunction with morphology, secretome analysis may provide a more comprehensive and enhanced, non-invasive approach for embryo selection in ART.

Quantitative proteomic analysis of secretome of microbial consortium during saw dust utilization

Proteomics analysis of lignocellulolytic proteins by lignocellulosic biomass degrading microbes and compatible microbial consortium is a promising approach that offers a new means to enzyme discovery. The abundance of proteins in complex secretome by microbial communities would highlight key lignocellulolytic proteins for lignocellulosic biorefinery. In this study, lignocellulolytic enzymes of potent lignin degrading basidiomycota and effective cellulolytic ascomycota fungal strains, and their co-cultures were analyzed using high throughput isobaric tag for relative and absolute quantitation (iTRAQ) technique using liquid chromatography tandem mass spectrometry. Protein abundances in the iTRAQ-multiplexed samples were determined by integrating relative quantitation and exponentially modified protein abundance index (emPAI). The functional classification of the secretory proteins by individual culture and co-culture demonstrated 36.77% cellulolytic proteins, 13.06% hemicellulases, 14.09% ligninolytic proteins, 19.59% proteolytic enzymes. 7.22% hypothetical proteins and 6.87% cell morphogenesis proteins. The abundance of the proteins by individual cultures and co-cultured fungal consortium revealed that co-culturing of Phanerochaete chrysosporium with Trichoderma reesei QM6a and Trichoderma reesei Rut C30 induced the production of cellulolytic proteins and stimulated expression of hemicellulolytic enzymes. The hierarchical clustering of proteins in secretome of fungal strains and their co-cultures elucidated differential expressions of lignocellulolytic proteins by the microbial consortium.

Identifying mutated proteins secreted by colon cancer cell lines using mass spectrometry

Secreted proteins encoded by mutated genes (mutant proteins) are a particularly rich source of biomarkers being not only components of the cancer secretome but also actually implicated in tumorigenesis. One of the challenges of proteomics-driven biomarker discovery research is that the bulk of secreted mutant proteins cannot be identified directly and quantified by mass spectrometry due to the lack of mutated peptide information in extant proteomics databases. Here we identify, using an integrated genomics and proteomics strategy (referred to iMASp - identification of Mutated And Secreted proteins), 112 putative mutated tryptic peptides (corresponding to 57 proteins) in the collective secretomes derived from a panel of 18 human colorectal cancer (CRC) cell lines. Central to this iMASp was the creation of Human Protein Mutant Database (HPMD), against which experimentally-derived secretome peptide spectra were searched. Eight of the identified mutated tryptic peptides were confirmed by RT-PCR and cDNA sequencing of RNA extracted from those CRC cells from which the mutation was identified by mass spectrometry. The iMASp technology promises to improve the link between proteomics and genomic mutation data thereby providing an effective tool for targeting tryptic peptides with mutated amino acids as potential cancer biomarker candidates. This article is part of a Special Issue entitled: Integrated omics.

Secretome protein enrichment identifies physiological BACE1 protease substrates in neurons

Cell surface proteolysis is essential for communication between cells and results in the shedding of membrane-protein ectodomains. However, physiological substrates of the contributing proteases are largely unknown. We developed the secretome protein enrichment with click sugars (SPECS) method, which allows proteome-wide identification of shedding substrates and secreted proteins from primary cells, even in the presence of serum proteins. SPECS combines metabolic glycan labelling and click chemistry-mediated biotinylation and distinguishes between cellular and serum proteins. SPECS identified 34, mostly novel substrates of the Alzheimer protease BACE1 in primary neurons, making BACE1 a major sheddase in the nervous system. Selected BACE1 substrates-seizure-protein 6, L1, CHL1 and contactin-2-were validated in brains of BACE1 inhibitor-treated and BACE1 knock-out mice. For some substrates, BACE1 was the major sheddase, whereas for other substrates additional proteases contributed to total substrate shedding. The new substrates point to a central function of BACE1 in neurite outgrowth and synapse formation. SPECS is also suitable for quantitative secretome analyses of primary cells and may be used for the discovery of biomarkers secreted from tumour or stem cells.

The salivary secretome of the tsetse fly Glossina pallidipes (Diptera: Glossinidae) infected by salivary gland hypertrophy virus.

BackgroundThe competence of the tsetse fly Glossina pallidipes (Diptera; Glossinidae) to acquire salivary gland hypertrophy virus (SGHV), to support virus replication and successfully transmit the virus depends on complex interactions between Glossina and SGHV macromolecules. Critical requisites to SGHV transmission are its replication and secretion of mature virions into the fly's salivary gland (SG) lumen. However, secretion of host proteins is of equal importance for successful transmission and requires cataloging of G. pallidipes secretome proteins from hypertrophied and non-hypertrophied SGs.Methodology/Principal FindingsAfter electrophoretic profiling and in-gel trypsin digestion, saliva proteins were analyzed by nano-LC-MS/MS. MaxQuant/Andromeda search of the MS data against the non-redundant (nr) GenBank database and a G. morsitans morsitans SG EST database, yielded a total of 521 hits, 31 of which were SGHV-encoded. On a false discovery rate limit of 1% and detection threshold of least 2 unique peptides per protein, the analysis resulted in 292 Glossina and 25 SGHV MS-supported proteins. When annotated by the Blast2GO suite, at least one gene ontology (GO) term could be assigned to 89.9% (285/317) of the detected proteins. Five (∼1.8%) Glossina and three (∼12%) SGHV proteins remained without a predicted function after blast searches against the nr database. Sixty-five of the 292 detected Glossina proteins contained an N-terminal signal/secretion peptide sequence. Eight of the SGHV proteins were predicted to be non-structural (NS), and fourteen are known structural (VP) proteins.Conclusions/SignificanceSGHV alters the protein expression pattern in Glossina. The G. pallidipes SG secretome encompasses a spectrum of proteins that may be required during the SGHV infection cycle. These detected proteins have putative interactions with at least 21 of the 25 SGHV-encoded proteins. Our findings opens venues for developing novel SGHV mitigation strategies to block SGHV infections in tsetse production facilities such as using SGHV-specific antibodies and phage display-selected gut epithelia-binding peptides.

Quantitative Proteomic Approach for Cellulose Degradation by Neurospora crassa

Conversion of plant biomass to soluble sugars is the primary bottleneck associated with production of economically viable cellulosic fuels and chemicals. To better understand the biochemical route that filamentous fungi use to degrade plant biomass, we have taken a quantitative proteomics approach to characterizing the secretome of Neurospora crassa during growth on microcrystalline cellulose. Thirteen proteins were quantified in the N. crassa secretome using a combination of Absolute Quantification (AQUA) and Absolute SILAC to verify protein concentrations. Four of these enzymes including 2 cellobiohydrolases (CBH-1 and GH6-2), an endoglucanase (GH5-1), and a β-glucosidase (GH3-4) were then chosen to reconstitute a defined cellulase mixture in vitro. These enzymes were assayed alone and in mixtures and the activity of the reconstituted set was then compared to the crude mixture of N. crassa secretome proteins. Results show that while these 4 proteins represent 63-65% of the total secretome by weight, they account for just 43% of the total activity on microcrystalline cellulose after 24 h of hydrolysis. This result and quantitative proteomic data on other less abundant proteins secreted by Neurospora suggest that proteins other than canonical fungal cellulases may play an important role in cellulose degradation by fungi.

Secretome Compartment Is a Valuable Source of Biomarkers for Cancer-Relevant Pathways

In principle, targeted therapies have optimal activity against a specific subset of tumors that depend upon the targeted molecule or pathway for growth, survival, or metastasis. Consequently, it is important in drug development and clinical practice to have predictive biomarkers that can reliably identify patients who will benefit from a given therapy. We analyzed tumor cell-line secretomes (conditioned cell media) to look for predictive biomarkers; secretomes represent a potential source for potential biomarkers that are expressed in intracellular signaling and therefore may reflect changes induced by targeted therapy. Using Gene Ontology, we classified by function the secretome proteins of 12 tumor cell lines of different histotypes. Representations and hierarchical relationships among the functional groups differed among the cell lines. Using bioinformatics tools, we identified proteins involved in intracellular signaling pathways. For example, we found that secretome proteins related to TGF-beta signaling in thyroid cancer cells, such as vasorin, CD109, and βIG-H3 (TGFBI), were sensitive to RPI-1 and dasatinib treatments, which have been previously demonstrated to be effective in blocking cell proliferation. The secretome may be a valuable source of potential biomarkers for detecting cancer and measuring the effectiveness of cancer therapies.

BcSpl1, a cerato-platanin family protein, contributes to Botrytis cinerea virulence and elicits the hypersensitive response in the host

Proteins belonging to the cerato-platanin family are small proteins with phytotoxic activity. A member of this family, BcSpl1, is one of the most abundant proteins in the Botrytis cinerea secretome. Expression analysis of the bcspl1 gene revealed that the transcript is present in every condition studied, showing the highest level in planta at the late stages of infection. Expression of a second cerato-platanin gene found in the B. cinerea genome, bcspl2, was not detected in any condition. Two bcspl1 knock-out mutants were generated and both showed reduced virulence in a variety of hosts. • bcspl1 was expressed in Pichia pastoris and the recombinant protein was able to cause a fast and strong necrosis when infiltrated in tomato, tobacco and Arabidopsis leaves, in a dose-dependent manner. The BcSpl1-treated plant tissues showed symptoms of the hypersensitive response such as induction of reactive oxygen species, electrolyte leakage, cytoplasm shrinkage, and cell autofluorescence, as well as the induction of defense genes considered to be markers of the hypersensitive response. The Arabidopsis bak1 mutation partially prevented the induction of necrosis in this plant by BcSpl1. Two different BcSpl1-derived 40-amino acids peptides were also active in inducing necrosis.

Proteomic Analysis of the Secretory Response of Aspergillus niger to D-Maltose and D-Xylose

Fungi utilize polysaccharide substrates through extracellular digestion catalyzed by secreted enzymes. Thus far, protein secretion by the filamentous fungus Aspergillus niger has mainly been studied at the level of individual proteins and by genome and transcriptome analyses. To extend these studies, a complementary proteomics approach was applied with the aim to investigate the changes in secretome and microsomal protein composition resulting from a shift to a high level secretion condition. During growth of A. niger on d-sorbitol, small amounts of d-maltose or d-xylose were used as inducers of the extracellular amylolytic and xylanolytic enzymes. Upon induction, protein compositions in the extracellular broth as well as in enriched secretory organelle (microsomal) fractions were analyzed using a shotgun proteomics approach. In total 102 secreted proteins and 1,126 microsomal proteins were identified in this study. Induction by d-maltose or d-xylose resulted in the increase in specific extracellular enzymes, such as glucoamylase A on d-maltose and β-xylosidase D on d-xylose, as well as of microsomal proteins. This reflects the differential expression of selected genes coding for dedicated extracellular enzymes. As expected, the addition of extra d-sorbitol had no effect on the expression of carbohydrate-active enzymes, compared to addition of d-xylose or d-maltose. Furthermore, d-maltose induction caused an increase in microsomal proteins related to translation (e.g., Rpl15) and vesicular transport (e.g., the endosomal-cargo receptor Erv14). Millimolar amounts of the inducers d-maltose and d-xylose are sufficient to cause a direct response in specific protein expression levels. Also, after induction by d-maltose or d-xylose, the induced enzymes were found in microsomes and extracellular. In agreement with our previous findings for d-xylose induction, d-maltose induction leads to recruitment of proteins involved in proteasome-mediated degradation.