Quantitative proteomics analysis demonstrates post-transcriptional regulation of embryonic stem cell differentiation to hematopoiesis

UTF1 Expression is Important for the Generation and Maintenance of Human iPSCs

BACKGROUND

Undifferentiated embryonic cell transcription factor 1 (UTF1) is predominantly expressed in pluripotent stem cells and plays a vital role in embryonic development and pluripotency maintenance. Despite its established importance in murine models, the role of UTF1 on human induced pluripotent stem cells (iPSCs) has not been comprehensively studied.

METHODS

This study utilized CRISPR/Cas9 gene editing to create UTF1 knockout in human fibroblasts and iPSCs. We employed episomal vectors for reprogramming UTF1 knockout fibroblasts into iPSCs and analyzed the effects of UTF1 depletion on cellular morphology, pluripotency, and viability through Western blotting, PCR, and flow cytometry. In addition, we integrated an shRNA that downregulated the expression of UTF1 for mechanistic studies to understand the impact of UTF1 depletion in iPSC pluripotency and differentiation.

RESULTS

UTF1 knockout resulted in significantly reduced reprogramming efficiency and increased spontaneous differentiation, indicating its crucial role in maintaining human iPSC identity and stability. In knockdown experiments, gradual loss of UTF1 led to change in cellular morphologies and decreased expression of core pluripotency markers OCT4 and SOX2. Interestingly, unlike complete UTF1 knockout, the gradual downregulation of UTF1 in iPSCs did not result in apoptosis, suggesting that the loss of pluripotency can occur independently of the apoptotic pathways.

CONCLUSIONS

UTF1 is essential for maintaining the pluripotency and viability of human iPSCs. Its depletion affects the fundamental properties of stem cells, underscoring the potential challenges in using UTF1-deficient cells for therapeutic applications. Future studies should explore the mechanistic pathways through which UTF1 controls pluripotency and differentiation, which could provide insights into improving iPSC stability for clinical applications.

Label-free imaging for quality control of cardiomyocyte differentiation

Human pluripotent stem cell (hPSC)-derived cardiomyocytes provide a promising regenerative cell therapy for cardiovascular patients and an important model system to accelerate drug discovery. However, cost-effective and time-efficient platforms must be developed to evaluate the quality of hPSC-derived cardiomyocytes during biomanufacturing. Here, we develop a non-invasive label-free live cell imaging platform to predict the efficiency of hPSC differentiation into cardiomyocytes. Autofluorescence imaging of metabolic co-enzymes is performed under varying differentiation conditions (cell density, concentration of Wnt signaling activator) across five hPSC lines. Live cell autofluorescence imaging and multivariate classification models provide high accuracy to separate low (< 50%) and high (≥ 50%) differentiation efficiency groups (quantified by cTnT expression on day 12) within 1 day after initiating differentiation (area under the receiver operating characteristic curve, 0.91). This non-invasive and label-free method could be used to avoid batch-to-batch and line-to-line variability in cell manufacturing from hPSCs.

Differentiation of hPSCs to cardiomyocytes suffers from high variability. Here the authors report a label-free live cell imaging platform based on autofluorescence imaging to enable the prediction of cardiomyocyte differentiation efficiency from hPSCs.

An Insight into the Role of UTF1 in Development, Stem Cells, and Cancer

The curiosity to understand the mechanisms regulating transcription in pluripotent cells resulted in identifying a unique transcription factor named Undifferentiated embryonic cell transcription factor 1 (UTF1). This proline-rich, nuclear protein is highly conserved among placental mammals with prominent expression observed in pluripotent, germ, and cancer cells. In pluripotent and germ cells, its role has been implicated primarily in proper cell differentiation, whereas in cancer, it shows tissue-specific function, either as an oncogene or a tumor suppressor gene. Furthermore, UTF1 is crucial for germ cell development, spermatogenesis, and maintaining male fertility in mice. In addition, recent studies have demonstrated the importance of UTF1 in the generation of high quality induced Pluripotent Stem Cells (iPSCs) and as an excellent biomarker to identify bona fide iPSCs. Functionally, UTF1 aids in establishing a favorable chromatin state in embryonic stem cells, reducing "transcriptional noise" and possibly functions similarly in re-establishing this state in differentiated cells upon their reprogramming to generate mature iPSCs. This review highlights the multifaceted roles of UTF1 and its implication in development, spermatogenesis, stem, and cancer cells.

Quantitative proteomics reveals specific metabolic features of acute myeloid leukemia stem cells

Acute myeloid leukemia is characterized by the accumulation of clonal myeloid blast cells unable to differentiate into mature leukocytes. Chemotherapy induces remission in the majority of patients, but relapse rates are high and lead to poor clinical outcomes. Because this is primarily caused by chemotherapy-resistant leukemic stem cells (LSCs), it is essential to eradicate LSCs to improve patient survival. LSCs have predominantly been studied at the transcript level, thus information about posttranscriptionally regulated genes and associated networks is lacking. Here, we extend our previous report on LSC proteomes to healthy age-matched hematopoietic stem and progenitor cells (HSPCs) and correlate the proteomes to the corresponding transcriptomes. By comparing LSCs to leukemic blasts and healthy HSPCs, we validate candidate LSC markers and highlight novel and potentially targetable proteins that are absent or only lowly expressed in HSPCs. In addition, our data provide strong evidence that LSCs harbor a characteristic energy metabolism, adhesion molecule composition, as well as RNA-processing properties. Furthermore, correlating proteome and transcript data of the same individual samples highlights the strength of proteome analyses, which are particularly potent in detecting alterations in metabolic pathways. In summary, our study provides a comprehensive proteomic and transcriptomic characterization of functionally validated LSCs, blasts, and healthy HSPCs, representing a valuable resource helping to design LSC-directed therapies.

Post-Transcriptional Regulation of Homeostatic, Stressed, and Malignant Stem Cells

Cellular identity is not driven by differences in genomic content but rather by epigenomic, transcriptomic, and proteomic heterogeneity. Although regulation of the epigenome plays a key role in shaping stem cell hierarchies, differential expression of transcripts only partially explains protein abundance. The epitranscriptome, translational control, and protein degradation have emerged as fundamental regulators of proteome complexity that regulate stem cell identity and function. Here, we discuss how post-transcriptional mechanisms enable stem cell homeostasis and responsiveness to developmental cues and environmental stressors by rapidly shaping the content of their proteome and how these processes are disrupted in pre-malignant and malignant states.

Progress and Challenges in Ocean Metaproteomics and Proposed Best Practices for Data Sharing

Ocean metaproteomics is an emerging field enabling discoveries about marine microbial communities and their impact on global biogeochemical processes. Recent ocean metaproteomic studies have provided insight into microbial nutrient transport, colimitation of carbon fixation, the metabolism of microbial biofilms, and dynamics of carbon flux in marine ecosystems. Future methodological developments could provide new capabilities such as characterizing long-term ecosystem changes, biogeochemical reaction rates, and in situ stoichiometries. Yet challenges remain for ocean metaproteomics due to the great biological diversity that produces highly complex mass spectra, as well as the difficulty in obtaining and working with environmental samples. This review summarizes the progress and challenges facing ocean metaproteomic scientists and proposes best practices for data sharing of ocean metaproteomic data sets, including the data types and metadata needed to enable intercomparisons of protein distributions and annotations that could foster global ocean metaproteomic capabilities.

Poly(C)-Binding Protein Pcbp2 Enables Differentiation of Definitive Erythropoiesis by Directing Functional Splicing of the Runx1 Transcript

Formation of the mammalian hematopoietic system is under a complex set of developmental controls. Here, we report that mouse embryos lacking the KH domain poly(C) binding protein, Pcbp2, are selectively deficient in the definitive erythroid lineage. Compared to wild-type controls, transcript splicing analysis of the Pcbp2-/- embryonic liver reveals accentuated exclusion of an exon (exon 6) that encodes a highly conserved transcriptional control segment of the hematopoietic master regulator, Runx1. Embryos rendered homozygous for a Runx1 locus lacking this cassette exon (Runx1ΔE6) effectively phenocopy the loss of the definitive erythroid lineage in Pcbp2-/- embryos. These data support a model in which enhancement of Runx1 cassette exon 6 inclusion by Pcbp2 serves a critical role in development of hematopoietic progenitors and constitutes a critical step in the developmental pathway of the definitive erythropoietic lineage.

Downregulation of the protein synthesis machinery is a major regulatory event during early adipogenic differentiation of human adipose-derived stromal cells

Commitment of adult stem cells involves the activation of specific gene networks regulated from transcription to protein synthesis. Here, we used ribosome profiling to identify mRNAs regulated at the translational level, through both differential association to polysomes and modulation of their translational rates. We observed that translational regulation during the differentiation of human adipose-derived stromal cells (hASCs, also known as adipose-derived mesenchymal stem cells), a subset of which are stem cells, to adipocytes was a major regulatory event. hASCs showed a significant reduction of whole protein synthesis after adipogenic induction and a downregulation of the expression and translational efficiency of ribosomal proteins. Additionally, focal adhesion and cytoskeletal proteins were downregulated at the translational level. This negative regulation of the essential biological functions of hASCs resulted in a reduction in cell size and the potential of hASCs to migrate. We analyzed whether the inactivation of key translation initiation factors was involved in this observed major repression of translation. We showed that there was an increase in the hypo phosphorylated forms of 4E-BP1, a negative regulator of translation, during early adipogenesis. Our results showed that extensive translational regulation occurred during the early stage of the adipogenic differentiation of hASCs.

Protein expression in human cumulus cells as an indicator of blastocyst formation and pregnancy success

PURPOSE

The goal for the present study was to implement a technique for protein extraction and identification in human cumulus cells (CCs).

METHODS

Forty samples of CCs were collected after ovum pick-up from patients undergoing intracytoplasmic sperm injection (ICSI). Samples were split into the blastocyst group (n = 10), including patients in which all embryos converted into blastocysts, and the non-blastocyst group (n = 10), including patients in which none of the embryos reached the blastocyst stage or the positive-pregnancy (n = 10) and negative-pregnancy group (n = 10). Proteins were extracted and injected into a liquid chromatography system coupled to a mass spectrometer. The spectra were processed and used to search a database.

RESULTS

There were 87 different proteins in samples from the blastocyst and non-blastocyst groups, in which 30 were exclusively expressed in the blastocyst group and 17 in the non-blastocyst group. Among the 72 proteins detected in the pregnancy groups, 19 were exclusively expressed in the positive, and 16 were exclusively expressed in the negative-pregnancy group.

CONCLUSIONS

CC proteomics may be useful for predicting pregnancy success and the identification of patients that should be included in extended embryo culture programs.

Fungi Contribute Critical but Spatially Varying Roles in Nitrogen and Carbon Cycling in Acid Mine Drainage

The ecosystem roles of fungi have been extensively studied by targeting one organism and/or biological process at a time, but the full metabolic potential of fungi has rarely been captured in an environmental context. We hypothesized that fungal genome sequences could be assembled directly from the environment using metagenomics and that transcriptomics and proteomics could simultaneously reveal metabolic differentiation across habitats. We reconstructed the near-complete 27 Mbp genome of a filamentous fungus, Acidomyces richmondensis, and evaluated transcript and protein expression in floating and streamer biofilms from an acid mine drainage (AMD) system. A. richmondensis transcripts involved in denitrification and in the degradation of complex carbon sources (including cellulose) were up-regulated in floating biofilms, whereas central carbon metabolism and stress-related transcripts were significantly up-regulated in streamer biofilms. These findings suggest that the biofilm niches are distinguished by distinct carbon and nitrogen resource utilization, oxygen availability, and environmental challenges. An isolated A. richmondensis strain from this environment was used to validate the metagenomics-derived genome and confirm nitrous oxide production at pH 1. Overall, our analyses defined mechanisms of fungal adaptation and identified a functional shift related to different roles in carbon and nitrogen turnover for the same species of fungi growing in closely located but distinct biofilm niches.

The Poly(C) Binding Protein Pcbp2 and Its Retrotransposed Derivative Pcbp1 Are Independently Essential to Mouse Development

RNA-binding proteins participate in a complex array of posttranscriptional controls essential to cell type specification and somatic development. Despite their detailed biochemical characterizations, the degree to which each RNA-binding protein impacts mammalian embryonic development remains incompletely defined, and the level of functional redundancy among subsets of these proteins remains open to question. The poly(C) binding proteins, PCBPs (αCPs and hnRNP E proteins), are encoded by a highly conserved and broadly expressed gene family. The two major Pcbp isoforms, Pcbp2 and Pcbp1, are robustly expressed in a wide range of tissues and exert both nuclear and cytoplasmic controls over gene expression. Here, we report that Pcbp1-null embryos are rendered nonviable in the peri-implantation stage. In contrast, Pcbp2-null embryos undergo normal development until midgestation (12.5 to 13.5 days postcoitum), at which time they undergo a dramatic loss in viability associated with combined cardiovascular and hematopoietic abnormalities. Mice heterozygous for either Pcbp1 or Pcbp2 null alleles display a mild and nondisruptive defect in initial postpartum weight gain. These data reveal that Pcbp1 and Pcbp2 are individually essential for mouse embryonic development and have distinct impacts on embryonic viability and that Pcpb2 has a nonredundant in vivo role in hematopoiesis. These data further provide direct evidence that Pcbp1, a retrotransposed derivative of Pcpb2, has evolved an essential function(s) in the mammalian genome.

Quantitative phosphoproteome analysis of embryonic stem cell differentiation toward blood

Murine embryonic stem (ES) cells can differentiate in vitro into three germ layers (endodermic, mesodermic, ectodermic). Studies on the differentiation of these cells to specific early differentiation stages has been aided by an ES cell line carrying the Green Fluorescent Protein (GFP) targeted to the Brachyury (Bry) locus which marks mesoderm commitment. Furthermore, expression of the Vascular Endothelial Growth Factor receptor 2 (Flk1) along with Bry defines hemangioblast commitment. Isobaric-tag for relative and absolute quantification (iTRAQ(TM)) and phosphopeptide enrichment coupled to liquid chromatography separation and mass spectrometry allow the study of phosphorylation changes occurring at different stages of ES cell development using Bry and Flk1 expression respectively. We identified and relatively quantified 37 phosphoentities which are modulated during mesoderm-induced ES cells differentiation, comparing epiblast-like, early mesoderm and hemangioblast-enriched cells. Among the proteins differentially phosphorylated toward mesoderm differentiation were: the epigenetic regulator Dnmt3b, the protein kinase GSK3b, the chromatin remodeling factor Smarcc1, the transcription factor Utf1; as well as protein specifically related to stem cell differentiation, as Eomes, Hmga2, Ints1 and Rif1. As most key factors regulating early hematopoietic development have also been implicated in various types of leukemia, understanding the post-translational modifications driving their regulation during normal development could result in a better comprehension of their roles during abnormal hematopoiesis in leukemia.

Protein kinases and associated pathways in pluripotent state and lineage differentiation

Protein kinases (PKs) mediate the reversible conversion of substrate proteins to phosphorylated forms, a key process in controlling intracellular signaling transduction cascades. Pluripotency is, among others, characterized by specifically expressed PKs forming a highly interconnected regulatory network that culminates in a finely-balanced molecular switch. Current high-throughput phosphoproteomic approaches have shed light on the specific regulatory PKs and their function in controlling pluripotent states. Pluripotent cell-derived endothelial and hematopoietic developments represent an example of the importance of pluripotency in cancer therapeutics and organ regeneration. This review attempts to provide the hitherto known kinome profile and the individual characterization of PK-related pathways that regulate pluripotency. Elucidating the underlying intrinsic and extrinsic signals may improve our understanding of the different pluripotent states, the maintenance or induction of pluripotency, and the ability to tailor lineage differentiation, with a particular focus on endothelial cell differentiation for anti-cancer treatment, cell-based tissue engineering, and regenerative medicine strategies.

Elevated temperature alters proteomic responses of individual organisms within a biofilm community

Microbial communities that underpin global biogeochemical cycles will likely be influenced by elevated temperature associated with environmental change. Here, we test an approach to measure how elevated temperature impacts the physiology of individual microbial groups in a community context, using a model microbial-based ecosystem. The study is the first application of tandem mass tag (TMT)-based proteomics to a microbial community. We accurately, precisely and reproducibly quantified thousands of proteins in biofilms growing at 40, 43 and 46 °C. Elevated temperature led to upregulation of proteins involved in amino-acid metabolism at the level of individual organisms and the entire community. Proteins from related organisms differed in their relative abundance and functional responses to temperature. Elevated temperature repressed carbon fixation proteins from two Leptospirillum genotypes, whereas carbon fixation proteins were significantly upregulated at higher temperature by a third member of this genus. Leptospirillum group III bacteria may have been subject to viral stress at elevated temperature, which could lead to greater carbon turnover in the microbial food web through the release of viral lysate. Overall, these findings highlight the utility of proteomics-enabled community-based physiology studies, and provide a methodological framework for possible extension to additional mixed culture and environmental sample analyses.

Cytoplasmic poly(A) binding protein C4 serves a critical role in erythroid differentiation

The expression of an mRNA is strongly impacted by its 3' poly(A) tail and associated poly(A)-binding proteins (PABPs). Vertebrates encode six PABP isoforms that vary in abundance, distribution, developmental control, and subcellular localization. Here we demonstrate that the minor PABP isoform PABPC4 is expressed in erythroid cells and impacts the steady-state expression of a subset of erythroid mRNAs. Motif analyses reveal a high-value AU-rich motif in the 3' untranslated regions (UTRs) of PABPC4-impacted mRNAs. This motif enhances the association of PABPC4 with mRNAs containing critically shortened poly(A) tails. This association may serve to protect a subset of mRNAs from accelerated decay. Finally, we demonstrate that selective depletion of PABPC4 in an erythroblast cell line inhibits terminal erythroid maturation with corresponding alterations in the erythroid gene expression. These observations lead us to conclude that PABPC4 plays an essential role in posttranscriptional control of a major developmental pathway.

Organellar proteomics of embryonic stem cells

Embryonic stem cells (ESCs) are undifferentiated cells with two common remarkable features known as self-renewal and differentiation. Proteomics plays an increasingly important role in understanding molecular mechanisms underlying self-renewal and pluripotency of ESCs and their applications in cell therapy and developmental biology studies. As the function of a protein is strongly associated with its localization in cell, a complete and accurate picture of the proteome of ESCs cannot be achieved without knowing the subcellular locations of proteins. Subcellular fractionation allows enrichment of low abundant proteins and signaling complexes and reduces the complexity of the sample. It also provided insight into tracking proteins that shuttle between different compartments. Despite the substantial interest and efforts in ESC subcellular proteomics area, progress has been relatively limited. In this review, we present an overview on current status of ESCs organelle proteomics research and discuss challenges in subcellular proteomics.

A specific PTPRC/CD45 phosphorylation event governed by stem cell chemokine CXCL12 regulates primitive hematopoietic cell motility

CXCL12 governs cellular motility, a process deregulated by hematopoietic stem cell oncogenes such as p210-BCR-ABL. A phosphoproteomics approach to the analysis of a hematopoietic progenitor cell line treated with CXCL12 and the Rac 1 and 2 inhibitor NSC23766 has been employed to objectively discover novel mechanisms for regulation of stem cells in normal and malignant hematopoiesis. The proteomic data sets identified new aspects of CXCL12-mediated signaling and novel features of stem cell regulation. We also identified a novel phosphorylation event in hematopoietic progenitor cells that correlated with motile response and governed by the chemotactic factor CXCL12. The novel phosphorylation site on PTPRC/CD45; a protein tyrosine phosphatase, was validated by raising an antibody to the site and also using a mass spectrometry absolute quantification strategy. Site directed mutagenesis and inhibitor studies demonstrated that this single phosphorylation site governs hematopoietic progenitor cell and lymphoid cell motility, lies downstream from Rac proteins and potentiates Src signaling. We have also demonstrated that PTPRC/CD45 is down-regulated in leukemogenic tyrosine kinase expressing cells. The use of discovery proteomics has enabled further understanding of the regulation of PTPRC/CD45 and its important role in cellular motility in progenitor cells.

Carboxyl group footprinting mass spectrometry and molecular dynamics identify key interactions in the HER2-HER3 receptor tyrosine kinase interface

The HER2 receptor tyrosine kinase is a driver oncogene in many human cancers, including breast and gastric cancer. Under physiologic levels of expression, HER2 heterodimerizes with other members of the EGF receptor/HER/ErbB family, and the HER2-HER3 dimer forms one of the most potent oncogenic receptor pairs. Previous structural biology studies have individually crystallized the kinase domains of HER2 and HER3, but the HER2-HER3 kinase domain heterodimer structure has yet to be solved. Using a reconstituted membrane system to form HER2-HER3 kinase domain heterodimers and carboxyl group footprinting mass spectrometry, we observed that HER2 and HER3 kinase domains preferentially form asymmetric heterodimers with HER3 and HER2 monomers occupying the donor and acceptor kinase positions, respectively. Conformational changes in the HER2 activation loop, as measured by changes in carboxyl group labeling, required both dimerization and nucleotide binding but did not require activation loop phosphorylation at Tyr-877. Molecular dynamics simulations on HER2-HER3 kinase dimers identify specific inter- and intramolecular interactions and were in good agreement with MS measurements. Specifically, several intermolecular ionic interactions between HER2 Lys-716-HER3 Glu-909, HER2 Glu-717-HER3 Lys-907, and HER2 Asp-871-HER3 Arg-948 were identified by molecular dynamics. We also evaluated the effect of the cancer-associated mutations HER2 D769H/D769Y, HER3 E909G, and HER3 R948K (also numbered HER3 E928G and R967K) on kinase activity in the context of this new structural model. This study provides valuable insights into the EGF receptor/HER/ErbB kinase structure and interactions, which can guide the design of future therapies.

Proteomic profiling of rabbit embryonic stem cells derived from parthenotes and fertilized embryos

Rabbit embryonic stem (rES) cells can be derived from various sources of embryos. However, understanding of the gene expression profile, which distincts embryonic stem (ES) cells from other cell types, is still extremely limited. In this study, we compared the protein profiles of three independent lines of rabbit cells, i.e., fibroblasts, fertilized embryo-derived stem (f-rES) cells, and parthenote-derived ES (p-rES) cells. Proteomic analyses were performed using two-dimensional gel electrophoresis (2-DE) and mass spectrometry. Collectively, the expression levels of 100 out of 284 protein spots differed significantly among these three cell types (p<0.05). Of those differentially expressed spots, 91% were identified in the protein database and represented 63 distinct proteins. Proteins with known identities are mainly localized in the cytoplasmic compartments (48%), nucleus (14%), and cytoskeletal machineries (13%). These proteins were majorly involved in biological functions of energy and metabolic pathways (25%), cell growth and maintenance (25%), signal transduction (14%), and protein metabolisms (10%). When protein expression levels among cell types were compared, six proteins associated with a variety of cellular activities, including structural constituents of the cytoskeleton (tubulins), structural molecule (KRT8), catalytic molecules (α-enolase), receptor complex scaffold (14-3-3 protein sigma), microfilament motor proteins (Myosin-9), and heat shock protein (HSP60), were found highly expressed in p-rES cells. Two proteins related to HSP activity and structural constituent of cytoskeleton in f-rES cells, and one structural molecule activity protein in fibroblasts showed significantly higher expression levels (p<0.05). Marker protein expressions in f-rES and p-rES cells were further confirmed by Western blotting and immunocytochemical staining. This study demonstrated unique proteomic profiles of the three rabbit cell types and revealed some novel proteins differentially expressed between f-rES and p-rES cells. These analyses provide insights into rES cell biology and would invite more in-depth studies toward rES cell applications.

Global liver proteome analysis using iTRAQ labeling quantitative proteomic technology to reveal biomarkers in mice exposed to perfluorooctane sulfonate (PFOS)

Proteomic analysis allows detection of changes of proteins expression in organisms exposed to environmental pollutants, leading to the discovery of biomarkers of exposure and understanding of the action mechanism of toxicity. In the present study, we applied iTRAQ labeling quantitative proteomic technology for global characterization of the liver proteome in mice exposed to perfluorooctane sulfonate (PFOS). This successfully identified and quantified 1038 unique proteins. Seventy-one proteins showed a significant expression change in the treated groups (1.0, 2.5, 5.0 mg/kg of body weight) compared with the control group, and 16 proteins displayed strong dose-dependent changes. Gene ontology analysis showed that these differential proteins were significantly enriched and mainly involved in lipid metabolism, transport, biosynthetic processes, and response to stimulus. We detected significantly increased expression levels of enzymes regulating peroxisomal β-oxidation-including long-chain acyl-CoA synthetase, acyl-CoA oxidase 1, bifunctional enzyme, and 3-ketoacyl-CoA thiolase A. PFOS also significantly induced cytochrome P450s and glutathione S-transferases that are responsible for the metabolism of xenobiotic compounds. The expressions of several proteins with important biological functions-such as cysteine sulfinic acid decarboxylase, aldehyde dehydrogenase, and apolipoprotein A-I, also correlated with PFOS exposure. Together, the present results provide insight into the molecular mechanism and biomarkers for PFOS-induced effects.

Proteomics profiling of human embryonic stem cells in the early differentiation stage

The regulatory pathways responsible for maintaining human embryonic stem cells (hESCs) in an undifferentiated state have yet to be elucidated. Since these pathways are thought to be governed by complex protein cues, deciphering the changes that occur in the proteomes of the ESCs during differentiation is important for understanding the expansion and differentiation processes involved. In this study, we present the first quantitative comparison of the hESC protein profile in the undifferentiated and early differentiated states. We used iTRAQ (isobaric tags for relative and absolute quantification) labeling combined with two dimensional capillary chromatography coupled with tandem mass spectrometry (μLC-MS/MS) to achieve comparative proteomics of hESCs at the undifferentiated stage, and at 6, 48, and 72 h after initiation of differentiation. In addition, two dimensional electrophoresis (2-DE) was performed on differentiating hESCs at eleven points of time during the first 72 h of differentiation. The results indicate that during the first 48 h of hESC differentiation, many processes are initiated and are later reversed, including chromatin remodeling, heterochromatin spreading, a decrease in transcription and translation, a decrease in glycolytic proteins and cytoskeleton remodeling, and a decrease in focal and cell adhesion. Only 72 h after differentiation induction did the expression of the homeobox prox1 protein increase, indicating the beginning of developmental processes.

AMD1 is essential for ESC self-renewal and is translationally down-regulated on differentiation to neural precursor cells

The gene expression networks governing embryonic stem cell (ESC) pluripotency are complex and finely regulated during differentiation toward specific lineages. We describe a new role for Amd1 (adenosyl methionine decarboxylase), a key enzyme in the polyamine synthesis pathway, in regulating both ESC self-renewal and differentiation to the neural lineage. Amd1 is highly expressed in ESCs and is translationally down-regulated by the neural precursor cell (NPC)-enriched microRNA miR-762 during NPC differentiation. Overexpression of Amd1 or addition of the polyamine spermine blocks ESC-to-NPC conversion, suggesting Amd1 must be down-regulated to decrease the levels of inhibitory spermine during differentiation. In addition, we demonstrate that high levels of Amd1 are required for maintenance of the ESC state. We show that forced overexpression of Amd1 in ESCs results in maintenance of high Myc levels and a delay in differentiation on removal of LIF. We propose that Amd1 is a major regulator of ESC self-renewal and that its essential role lies in its regulation of Myc levels within the cell.

The protein expression landscape of the Arabidopsis root

Because proteins are the major functional components of cells, knowledge of their cellular localization is crucial to gaining an understanding of the biology of multicellular organisms. We have generated a protein expression map of the Arabidopsis root providing the identity and cell type-specific localization of nearly 2,000 proteins. Grouping proteins into functional categories revealed unique cellular functions and identified cell type-specific biomarkers. Cellular colocalization provided support for numerous protein-protein interactions. With a binary comparison, we found that RNA and protein expression profiles are weakly correlated. We then performed peak integration at cell type-specific resolution and found an improved correlation with transcriptome data using continuous values. We performed GeLC-MS/MS (in-gel tryptic digestion followed by liquid chromatography-tandem mass spectrometry) proteomic experiments on mutants with ectopic and no root hairs, providing complementary proteomic data. Finally, among our root hair-specific proteins we identified two unique regulators of root hair development.

Statistical considerations of optimal study design for human plasma proteomics and biomarker discovery

A mass spectrometry-based plasma biomarker discovery workflow was developed to facilitate biomarker discovery. Plasma from either healthy volunteers or patients with pancreatic cancer was 8-plex iTRAQ labeled, fractionated by 2-dimensional reversed phase chromatography and subjected to MALDI ToF/ToF mass spectrometry. Data were processed using a q-value based statistical approach to maximize protein quantification and identification. Technical (between duplicate samples) and biological variance (between and within individuals) were calculated and power analysis was thereby enabled. An a priori power analysis was carried out using samples from healthy volunteers to define sample sizes required for robust biomarker identification. The result was subsequently validated with a post hoc power analysis using a real clinical setting involving pancreatic cancer patients. This demonstrated that six samples per group (e.g., pre- vs post-treatment) may provide sufficient statistical power for most proteins with changes >2 fold. A reference standard allowed direct comparison of protein expression changes between multiple experiments. Analysis of patient plasma prior to treatment identified 29 proteins with significant changes within individual patient. Changes in Peroxiredoxin II levels were confirmed by Western blot. This q-value based statistical approach in combination with reference standard samples can be applied with confidence in the design and execution of clinical studies for predictive, prognostic, and/or pharmacodynamic biomarker discovery. The power analysis provides information required prior to study initiation.

Proteomic analysis of stem cell differentiation and early development

Genomics methodologies have advanced to the extent that it is now possible to interrogate the gene expression in a single cell but proteomics has traditionally lagged behind and required much greater cellular input and was not quantitative. Coupling protein with gene expression data is essential for understanding how cell behavior is regulated. Advances primarily in mass spectrometry have, however, greatly improved the sensitivity of proteomics methods over the last decade and the outcome of proteomic analyses can now also be quantified. Nevertheless, it is still difficult to obtain sufficient tissue from staged mammalian embryos to combine proteomic and genomic analyses. Recent developments in pluripotent stem cell biology have in part addressed this issue by providing surrogate scalable cell systems in which early developmental events can be modeled. Here we present an overview of current proteomics methodologies and the kind of information this can provide on the biology of human and mouse pluripotent stem cells.

Stable isotope labelling with amino acids in cell culture for human embryonic stem cell proteomic analysis

The identification and quantitative measurements of proteins in human embryonic stem cells (hESC) is a fast growing interdisciplinary area with an enormous impact on understanding the biology of hESC and the mechanism controlling self-renewal and differentiation. Using a quantitative mass spectroscopic method of stable isotope labelling with amino acids during cell culture (SILAC), we are able to analyse differential expression of proteins from different cellular compartments and to identify intracellular signalling pathways involved in self-renewal and differentiation. In this chapter, we provide a detailed method for creating SILAC media suitable for use in hESC experiments, additionally we describe methods for the isolation of membrane fractions and cytosolic and nuclear/membrane fractions.

The transcription factor Mxd4 controls the proliferation of the first blood precursors at the onset of hematopoietic development in vitro

OBJECTIVE

The balance between proliferation and differentiation during hematopoietic development in the embryo is a complex process, the detailed molecular mechanisms of which remain to be fully characterized. The transcription factor Mxd4, a member of the Myc-Max-Mad network, was identified in a global gene expression profiling screen as being tightly regulated at the onset of hematopoietic lineage specification upon in vitro differentiation of mouse embryonic stem cells. Our study investigated the Mxd4 expression pattern at the onset of hematopoiesis and the biological relevance of its sharp and transient downregulation.

MATERIALS AND METHODS

To study the expression pattern and role of Mxd4 at the onset of hematopoiesis, the in vitro differentiation of embryonic stem cells was used as a model system. Gain of function assays were performed using a doxycycline-inducible embryonic stem cell system.

RESULTS

We show here that Mxd4 expression is transiently downregulated at an early stage of commitment to the hematopoietic lineage. Enforced expression of Mxd4 at this period of differentiation results in a defect in hematopoietic progenitor development, with impaired development of both primitive and definitive blood lineages. This effect is due to a severe decrease in cell proliferation, with an increased frequency of cells in the G(0)/G(1) phase of the cell cycle, alongside a reduced frequency of cells in the S phase.

CONCLUSIONS

Together our results indicate that during embryonic hematopoietic differentiation Mxd4 is an important player in the regulation of blood progenitor proliferation, and suggest that downregulation of its expression might be required for a proliferative burst preceding lineage specification.

Dose-dependent proteomic analysis of glioblastoma cancer stem cells upon treatment with γ-secretase inhibitor

Notch signaling has been demonstrated to have a central role in glioblastoma (GBM) cancer stem cells (CSCs) and we have demonstrated recently that Notch pathway blockade by γ-secretase inhibitor (GSI) depletes GBM CSCs and prevents tumor propagation both in vitro and in vivo. In order to understand the proteome alterations involved in this transformation, a dose-dependent quantitative mass spectrometry (MS)-based proteomic study has been performed based on the global proteome profiling and a target verification phase where both Immunoassay and a multiple reaction monitoring (MRM) assay are employed. The selection of putative protein candidates for confirmation poses a challenge due to the large number of identifications from the discovery phase. A multilevel filtering strategy together with literature mining is adopted to transmit the most confident candidates along the pipeline. Our results indicate that treating GBM CSCs with GSI induces a phenotype transformation towards non-tumorigenic cells with decreased proliferation and increased differentiation, as well as elevated apoptosis. Suppressed glucose metabolism and attenuated NFR2-mediated oxidative stress response are also suggested from our data, possibly due to their crosstalk with Notch Signaling. Overall, this quantitative proteomic-based dose-dependent work complements our current understanding of the altered signaling events occurring upon the treatment of GSI in GBM CSCs.

Identification of a panel of novel serum osteoarthritis biomarkers

Osteoarthritis (OA) is the most common rheumatic pathology. Because currently available diagnostic methods are limited and lack sensitivity, the identification of new specific biological markers for OA has become a focus. The purpose of this study was to identify novel protein biomarkers for moderate and severe OA in serum. Sera were obtained from 50 moderate OA patients, 50 severe OA patients, and 50 nonsymptomatic controls. Serum protein levels were analyzed using isobaric tags for relative and absolute quantitation (iTRAQ) and matrix-assisted laser desorption/ionization (MALDI)-TOF/TOF mass spectrometry. We identified 349 different proteins in the sera, 262 of which could be quantified by calculation of their iTRAQ ratios. Three sets of proteins were significantly (p < 0.05) changed in OA samples compared to controls. Of these, 6 were modulated only in moderate OA, 13 only in severe OA and 7 in both degrees. Although some of these proteins, such as cartilage oligomeric matrix protein, have a previously reported putative biomarker value for OA, most are novel biomarker candidates for the disease. These include some complement components, lipoproteins, von Willebrand factor, tetranectin, and lumican. The specificity and selectivity of these candidates need to be validated before new molecular diagnostic or prognostic tests for OA can be developed.

The requirement for proteomics to unravel stem cell regulatory mechanisms

Stem cells are defined by their ability to self-renew and to differentiate, the processes whereby these events are achieved is the subject of much investigation. These studies include cancer stem cell populations, where eradication of this specific population is the ultimate goal of treatment. Whilst cellular signalling events and transcription factor complex-mediated changes in gene expression have been analysed in some detail within stem cells, full systematic understanding of the events promoting self-renewal or the commitment process leading to formation of a specific cell type require a systems biology approach. This in turn demands a need for proteomic analysis of post-translational regulation of protein levels, protein interactions, protein post-translational modification (e.g. ubiquitination, methylation, acetylation, phosphorylation) to identify networks for stem cell regulation. Furthermore, the phenomenon of induced pluripotency via cellular reprogramming also can be understood optimally using combined molecular biology and proteomics approaches; here we describe current research employing proteomics and mass spectrometry to dissect stem cell regulatory mechanisms.

Quantitative proteomic analysis of the heat stress response in Clostridium difficile strain 630

Clostridium difficile is a serious nosocomial pathogen whose prevalence worldwide is increasing. Postgenomic technologies can now be deployed to develop understanding of the evolution and diversity of this important human pathogen, yet little is known about the adaptive ability of C. difficile. We used iTRAQ labeling and 2D-LC-MS/MS driven proteomics to investigate the response of C. difficile 630 to a mild, but clinically relevant, heat stress. A statistically validated list of 447 proteins to which functional roles were assigned was generated, allowing reconstruction of central metabolic pathways including glycolysis, γ-aminobutyrate metabolism, and peptidoglycan biosynthesis. Some 49 proteins were significantly modulated under heat stress: classical heat shock proteins including GroEL, GroES, DnaK, Clp proteases, and HtpG were up-regulated in addition to several stress inducible rubrerythrins and proteins associated with protein modification, such as prolyl isomerases and proline racemase. The flagellar filament protein, FliC, was down-regulated, possibly as an energy conservation measure, as was the SecA1 preprotein translocase. The up-regulation of hydrogenases and various oxidoreductases suggests that electron flux across these pools of enzymes changes under heat stress. This work represents the first comparative proteomic analysis of the heat stress response in C. difficile strain 630, complementing the existing proteomics data sets and the single microarray comparative analysis of stress response. Thus we have a benchmark proteome for this pathogen, leading to a deeper understanding of its physiology and metabolism informed by the unique functional and adaptive processes used during a temperature upshift mimicking host pyrexia.

Reconstructing regulatory network transitions

Cellular responses often involve a transition of cells from one state to another. A transition from a stem cell to a differentiated cell state, for example, might occur in response to gene expression changes induced by a transcription factor, or to signaling cascades triggered by a hormone or pathogen. Regulatory networks are thought to control such cellular transitions. Thus, many researchers are interested in reconstructing regulatory networks, not only with the aim of gaining a deeper understanding of cellular transitions, but also of using networks to predict and potentially manipulate cellular transitions and outcomes. In this review, we highlight approaches to the reconstruction of regulatory networks underlying cellular transitions, with special attention to transcriptional regulatory networks. We describe recent regulatory network reconstructions in a variety of organisms, and discuss the success they share in identifying new regulatory components, shared relationships and phenotypic outcomes.

Defining pluripotent stem cells through quantitative proteomic analysis

Embryonic stem cells (ESCs) are at the center stage of intense research, inspired by their potential to give rise to all cell types of the adult individual. This property makes ESCs suitable candidates for generating specialized cells to replace damaged tissue lost after injury or disease. However, such clinical applications require a detailed insight of the molecular mechanisms underlying the self-renewal, expansion and differentiation of stem cells. This has gained further relevance since the introduction of induced pluripotent stem cells (iPSCs), which are functionally very similar to ESCs. The key property that iPSCs can be derived from somatic cells lifts some of the major ethical issues related to the need for embryos to generate ESCs. Yet, this has only increased the need to define the similarity of iPSCs and ESCs at the molecular level, both before and after they are induced to differentiate. In this article, we describe the proteomic approaches that have been used to characterize ESCs with regard to self-renewal and differentiation, with an emphasis on signaling cascades and histone modifications. We take this as a lead to discuss how quantitative proteomics can be deployed to study reprogramming and iPSC identity. In addition, we discuss how emerging proteomic technologies can become a useful tool to monitor the (de)differentiation status of ESCs and iPSCs.

Proteomics: a reality-check for putative stem cells

The concept of using stem cells for cardiovascular repair holds great potential, but uncertainties in preclinical experiments must be addressed before their therapeutic application. Contemporary proteomic techniques can help to characterize cell preparations more thoroughly and identify some of the potential causes that may lead to a high failure rate in clinical trials. The first part of this review discusses the broader application of proteomics to stem cell research by providing an overview of the main proteomic technologies and how they might help the translation of stem cell therapy. The second part focuses on the controversy about endothelial progenitor cells (EPCs) and raises cautionary flags for marker assignment and assessment of cell purity. A proteomics-led approach in early outgrowth EPCs has already raised the awareness that markers used to define their endothelial potential may arise from an uptake of platelet proteins. A platelet microparticle-related transfer of endothelial characteristics to mononuclear cells can result in a misinterpretation of the assay. The necessity to perform counterstaining for platelet markers in this setting is not fully appreciated. Similarly, the presence of platelets and platelet microparticles is not taken into consideration when functional improvements are directly attributed to EPCs, whereas saline solutions or plain medium serve as controls. Thus, proteomics shed new light on the caveats of a common stem cell assay in cardiovascular research, which might explain some of the inconsistencies in the field.

Gene expression profiling in MDS and AML: potential and future avenues

Today, the classification systems for myelodysplastic syndromes (MDS) and acute myeloid leukemia (AML) already incorporate cytogenetic and molecular genetic aberrations in an attempt to better reflect disease biology. However, in many MDS/AML patients no genetic aberrations have been identified yet, and even within some cytogenetically well-defined subclasses there is considerable clinical heterogeneity. Recent advances in genomics technologies such as gene expression profiling (GEP) provide powerful tools to further characterize myeloid malignancies at the molecular level, with the goal to refine the MDS/AML classification system, incorporating as yet unknown molecular genetic and epigenetic pathomechanisms, which are likely reflected by aberrant gene expression patterns. In this study, we provide a comprehensive review on how GEP has contributed to a refined molecular taxonomy of MDS and AML with regard to diagnosis, prediction of clinical outcome, discovery of novel subclasses and identification of novel therapeutic targets and novel drugs. As many challenges remain ahead, we discuss the pitfalls of this technology and its potential including future integrative studies with other genomics technologies, which will continue to improve our understanding of malignant transformation in myeloid malignancies and thereby contribute to individualized risk-adapted treatment strategies for MDS and AML patients.

Embryonic stem cell application in drug discovery

Embryonic stem (ES) cells and their differentiated progeny offer tremendous potential for regenerative medicine, even in the field of drug discovery. There is an urgent need for clinically relevant assays that make use of ES cells because of their rich biological utility. Attention has been focused on small molecules that allow the precise manipulation of cells in vitro, which could allow researchers to obtain homogeneous cell types for cell-based therapies and discover drugs for stimulating the regeneration of endogenous cells. Such therapeutics can act on target cells or their niches in vivo to promote cell survival, proliferation, differentiation, and homing. In the present paper, we reviewed the use of ES cell models for high-throughput/content drug screening and toxicity assessment. In addition, we examined the role of stem cells in large pharmaceutical companies' R&D and discussed a novel subject, nicheology, in stem cell-related research fields.

Toward a complete in silico, multi-layered embryonic stem cell regulatory network

Recent efforts in systematically profiling embryonic stem (ES) cells have yielded a wealth of high-throughput data. Complementarily, emerging databases and computational tools facilitate ES cell studies and further pave the way toward the in silico reconstruction of regulatory networks encompassing multiple molecular layers. Here, we briefly survey databases, algorithms, and software tools used to organize and analyze high-throughput experimental data collected to study mammalian cellular systems with a focus on ES cells. The vision of using heterogeneous data to reconstruct a complete multi-layered ES cell regulatory network is discussed. This review also provides an accompanying manually extracted dataset of different types of regulatory interactions from low-throughput experimental ES cell studies available at http://amp.pharm.mssm.edu/iscmid/literature.

Large scale phosphoproteome profiles comprehensive features of mouse embryonic stem cells

Embryonic stem cells are pluripotent and capable of unlimited self-renewal. Elucidation of the underlying molecular mechanism may contribute to the advancement of cell-based regenerative medicine. In the present work, we performed a large scale analysis of the phosphoproteome in mouse embryonic stem (mES) cells. Using multiplex strategies, we detected 4581 proteins and 3970 high confidence distinct phosphosites in 1642 phosphoproteins. Notably, 22 prominent phosphorylated stem cell marker proteins with 39 novel phosphosites were identified for the first time by mass spectrometry, including phosphorylation sites in NANOG (Ser-65) and RE1 silencing transcription factor (Ser-950 and Thr-953). Quantitative profiles of NANOG peptides obtained during the differentiation of mES cells revealed that the abundance of phosphopeptides and non-phosphopeptides decreased with different trends. To our knowledge, this study presents the largest global characterization of phosphorylation in mES cells. Compared with a study of ultimately differentiated tissue cells, a bioinformatics analysis of the phosphorylation data set revealed a consistent phosphorylation motif in human and mouse ES cells. Moreover, investigations into phosphorylation conservation suggested that phosphoproteins were more conserved in the undifferentiated ES cell state than in the ultimately differentiated tissue cell state. However, the opposite conclusion was drawn from this conservation comparison with phosphosites. Overall, this work provides an overview of phosphorylation in mES cells and is a valuable resource for the future understanding of basic biology in mES cells.

Simultaneous analysis of relative protein expression levels across multiple samples using iTRAQ isobaric tags with 2D nano LC-MS/MS

In this paper, we describe the use of iTRAQ (isobaric Tags for Relative and Absolute Quantitation) tags for comparison of protein expression levels between multiple samples. These tags label all peptides in a protein digest before labeled samples are pooled, fractionated and analyzed using mass spectrometry (MS). As the tags are isobaric, the intensity of each peak is the sum of the intensity of this peptide from all samples, providing a moderate enhancement in sensitivity. On peptide fragmentation, amino-acid sequence ions also show this summed intensity, providing a sensitivity enhancement. However, the distinct distribution of isotopes in the tags is such that, on further fragmentation, a tag-specific reporter ion is released. The relative intensities of these ions represent the relative amount of peptide in the analytes. Integration of the relative quantification data for the peptides allows relative quantification of the protein. This protocol discusses the rationale behind design, optimization and performance of experiments, comparing protein samples using iTRAQ chemistries combined with strong cation exchange chromatographic fractionation and MS.

Quantitative top-down proteomics of SILAC labeled human embryonic stem cells

Human embryonic stem cells (hESCs) are self-renewing pluripotent cells with relevance to treatment of numerous medical conditions. However, a global understanding of the role of the hESC proteome in maintaining pluripotency or triggering differentiation is still largely lacking. The emergence of top-down proteomics has facilitated the identification and characterization of intact protein forms that are not readily apparent in bottom-up studies. Combined with metabolic labeling techniques such as stable isotope labeling by amino acids in cell culture (SILAC), quantitative comparison of intact protein expression under differing experimental conditions is possible. Herein, quantitative top-down proteomics of hESCs is demonstrated using the SILAC method and nano-flow reverse phase chromatography directly coupled to a linear-ion-trap Fourier transform ion cyclotron resonance mass spectrometer (nLC-LTQ-FT-ICR-MS). In this study, which to the best of our knowledge represents the first top-down analysis of hESCs, we have confidently identified 11 proteins by accurate intact mass, MS/MS, and amino acid counting facilitated by SILAC labeling. Although quantification is challenging due to the incorporation of multiple labeled amino acids (i.e., lysine and arginine) and arginine to proline conversion, we are able to quantitatively account for these phenomena using a mathematical model.

The sequential expression of CD40 and Icam2 defines progressive steps in the formation of blood precursors from the mesoderm germ layer

During embryogenesis, the hematopoietic program is specified from the mesodermal germ layer through the formation of hemangioblast. This precursor gives rise to a hemogenic endothelium that later on matures to generate primitive and definitive hematopoietic precursors. A lack of specific cell surface markers to identify cells with discrete developmental potential is a major hurdle in the quest to further understand the cellular and molecular program governing blood formation. In the present study, we identify CD40 and Icam2, two markers typically associated with the adult immunological compartment, as expressed at the earliest stages of blood specification both in vitro and in vivo. Using in vitro serum-free culture conditions that support the efficient and directed differentiation of embryonic stem cells, we show that the sequential expression of CD40 and Icam2 delineate a transition in the acquisition of the blood potential from hemangioblast to hemogenic endothelium leading to the formation of primitive and definitive hematopoietic progenitors. CD40 is transiently expressed at the onset of blood development and marks first the hemangioblast then the hemogenic endothelium but is no longer expressed on fully committed hematopoietic precursors within the fetal liver. In contrast, Icam2 is first expressed on the hemogenic endothelium and its expression persists on fetal liver hematopoietic progenitors. Taken together, our data identify novel cell surface markers allowing us to further refine our understanding of the events marking progressive hematopoietic commitment from the mesoderm germ layer.

Analysis of post-transcriptional regulations by a functional, integrated, and quantitative method

In the past 10 years, transcriptome and proteome analyses have provided valuable data on global gene expression and cell functional networks. However, when integrated,these analyses revealed partial correlations between mRNA expression levels and protein abundance thus suggesting that post-transcriptional regulations may be in part responsible for this discrepancy. In the present work, we report the development of a functional, integrated, and quantitative method to measure post-transcriptional regulations that we named FunREG. This method enables (i) quantitative measure of post-transcriptional regulations mediated by selected 3-untranslated regions and exogenous small interfering-RNA or micro-RNAs and (ii) comparison of these regulatory processes in physiologically relevant systems (e.g. cancer versus primary untransformed cells). We applied FunREG to the study of liver cancer, and we demonstrate for the first time the differential regulatory mechanisms controlling gene expression at a post-transcriptional level in normal and tumoral hepatic cells. As an example, translation efficiency mediated by heparin-binding epidermal growth factor 3-untranslated region was increased 3-fold in liver cancer cells compared with normal hepatocytes, whereas stability of an mRNA containing a portion of Cyclin D1 3-untranslated region was increased more than 2-fold in HepG2 cells compared with normal hepatocytes. Consequently we believe that the method presented herein may become an important tool in fundamental and medical research. This approach is convenient and easy to perform, accessible to any investigator, and should be adaptable to a large number of cell type, functional and chemical screens, as well as genome scale analyses. Finally FunREG may represent a helpful tool to reconcile transcriptome and proteome data.

Quantification of proteins by iTRAQ

Protein relative quantification is a key facet of many proteomics experiments. Several methods exist for this type of work, some of which are described elsewhere in this volume. In this chapter we will describe the use of isobaric tags for relative and absolute quantification (iTRAQ). These chemical tags attach to all peptides in a protein digest via free amines at the peptide N-terminus and on the side chain of lysine residues. Labelled samples are then pooled and analysed simultaneously. Since the tags are isobaric, labelled peptides do not show a mass shift in MS, instead signal from the same peptide from all samples is summed, providing a moderate increase in sensitivity. Upon peptide fragmentation, sequence ions (b- and y-type) also show this summed intensity which aids sensitivity. However, the distribution of isotopes in the different tags is such that when the tags fragment a tag-specific 'reporter' ion is released. The ratio of signal intensities from these tags acts as an indication of the relative proportions of that peptide between the different labelled samples. This chapter will describe the procedure for labelling and analysing peptide/protein samples using iTRAQ.