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Protein translational control is highly regulated step in the gene expression program during mammalian development that is critical for ensuring that the fetus develops correctly and that all of the necessary organs and tissues are formed and functional. Defects in protein expression during fetal development can lead to severe developmental abnormalities or premature death. Currently, quantitative techniques to monitor protein synthesis rates in a developing fetus (in utero) are limited. Here, we developed a novelin uterostable isotope labeling approach to quantify tissue-specific protein dynamics of the nascent proteome during mouse fetal development. Fetuses of pregnant C57BL/6J mice were injected with isotopically labeled lysine (Lys8) and arginine (Arg10) via the vitelline vein at various gestational days. After treatment, fetal organs/tissues including brain, liver, lung, and heart were harvested for sample preparation and proteomic analysis. We show that the mean incorporation rate for injected amino acids into all organs was 17.50 ± 0.6%. By analyzing the nascent proteome, unique signatures of each tissue were identified by hierarchical clustering. In addition, the quantified proteome-wide turnover rates (kobs) were calculated between 3.81E-5 and 0.424 hour-1. We observed similar protein turnover profiles for analyzed organs (e.g., liver versus brain), however, their distributions of turnover rates vary significantly. The translational kinetic profiles of developing organs displayed differentially expressed protein pathways and synthesis rates which correlated with known physiological changes during mouse development.

Alternative pre-mRNA splicing has long been proposed to contribute greatly to proteome complexity. However, the extent to which mature mRNA isoforms are successfully translated into protein remains controversial. Here, we used high-throughput RNA sequencing and mass spectrometry (MS)–based proteomics to better evaluate the translation of alternatively spliced mRNAs. To increase proteome coverage and improve protein quantitation, we optimized cell fractionation and sample processing steps at both the protein and peptide level. Furthermore, we generated a custom peptide database trained on analysis of RNA-seq data with MAJIQ, an algorithm optimized to detect and quantify differential and unannotated splice junction usage. We matched tandem mass spectra acquired by data-dependent acquisition (DDA) against our custom RNA-seq based database, as well as SWISS-PROT and RefSeq databases to improve identification of splicing-derived proteoforms by 28% compared with use of the SWISS-PROT database alone. Altogether, we identified peptide evidence for 554 alternate proteoforms corresponding to 274 genes. Our increased depth and detection of proteins also allowed us to track changes in the transcriptome and proteome induced by T-cell stimulation, as well as fluctuations in protein subcellular localization. In sum, our data here confirm that use of generic databases in proteomic studies underestimates the number of spliced mRNA isoforms that are translated into protein and provides a workflow that improves isoform detection in large-scale proteomic experiments.

Although in vitro fertilization (IVF) is associated with adverse perinatal outcomes, there is increasing concern about the long-term and sex-specific health implications. Augmenting our IVF mouse model to longitudinally investigate metabolic outcomes in offspring from optimal neonatal litter sizes, we found sex-specific metabolic outcomes in IVF offspring. IVF-conceived females had higher body weight and cholesterol levels compared to naturally conceived females, whereas IVF-conceived males had higher levels of triglycerides and insulin, and increased body fat composition. Through adult liver transcriptomics and proteomics, we identified sexually dimorphic dysregulation of the sterol regulatory element-binding protein (SREBP) pathways that are associated with the sex-specific phenotypes. We also found that global loss of DNA methylation in placenta was linked to higher cholesterol levels in IVF-conceived females. Our findings indicate that IVF procedures have long-lasting sex-specific effects on metabolic health of offspring and lay the foundation to utilize the placenta as a predictor of long-term outcomes.

Stable isotope labeling by amino acids in cell culture (SILAC) coupled to data-dependent acquisition (DDA) is a common approach to quantitative proteomics with the desirable benefit of reducing batch effects during sample processing and data acquisition. More recently, using data-independent acquisition (DIA/SWATH) to systematically measure peptides has gained popularity for its comprehensiveness, reproducibility, and accuracy of quantification. The complementary advantages of these two techniques logically suggests combining them. Here, we develop a SILAC-DIA-MS workflow using free, open-source software. We determine empirically that using DIA achieves similar peptide detection numbers as DDA and that DIA improves the quantitative accuracy and precision of SILAC by an order of magnitude. Finally, we apply SILAC-DIA-MS to determine protein turnover rates of cells treated with bortezomib, a 26S proteasome inhibitor FDA-approved for multiple myeloma and mantle cell lymphoma. We observe that SILAC-DIA produces more sensitive protein turnover models. Of the proteins determined differentially degraded by both acquisition methods, we find known ubiquitin-proteasome degrands such as HNRNPK, EIF3A, and IF4A1/EIF4A-1, and a slower turnover for CATD, a protein implicated in invasive breast cancer. With improved quantification from DIA, we anticipate this workflow making SILAC-based experiments like protein turnover more sensitive.

Although in vitro fertilization (IVF) is associated with adverse perinatal outcomes, an increasing concern is the long-term health implications. We augmented our IVF mouse model to longitudinally investigate cardiometabolic outcomes in offspring from optimal neonatal litter sizes. We found that IVF-conceived females had higher body weight and cholesterol levels compared to naturally-conceived females, whereas IVF-conceived males had higher levels of triglycerides and insulin, and increased body fat composition. Through transcriptomics and proteomics of adult liver, we identified sexually-dimorphic dysregulation of the sterol regulatory element binding protein (SREBP) pathways that are associated with the sex-specfic phenotypes. We also found that global loss of DNA methylation in placenta was linked to higher cholesterol levels in IVF-conceived females. Our findings indicate that IVF procedures have long-lasting sex-specific effects on metabolic health of offspring and lay the foundation to utilize the placenta as a predictor of long-term outcomes.

Posttranslational modifications of proteins control many complex biological processes, including genome expression, chromatin dynamics, metabolism, and cell division through a language of chemical modifications. Improvements in mass spectrometry-based proteomics have demonstrated protein acetylation is a widespread and dynamic modification in the cell; however, many questions remain on the regulation and downstream effects, and an assessment of the overall acetylation stoichiometry is needed. In this chapter, we describe the determination of acetylation stoichiometry using data-independent acquisition mass spectrometry to expand the number of acetylation sites quantified. However, the increased depth of data-independent acquisition is limited by the spectral library used to deconvolute fragmentation spectra. We describe a powerful approach of subcellular fractionation in conjunction with offline prefractionation to increase the depth of the spectral library. This deep interrogation of subcellular compartments provides essential insights into the compartment-specific regulation and downstream functions of protein acetylation.

Reactivation of fetal hemoglobin (HbF) production benefits patients with sickle cell disease and β-thalassemia. To identify new HbF regulators that might be amenable to pharmacologic control, we screened a protein domain–focused CRISPR-Cas9 library targeting chromatin regulators, including BTB domain–containing proteins. Speckle-type POZ protein (SPOP), a substrate adaptor of the CUL3 ubiquitin ligase complex, emerged as a novel HbF repressor. Depletion of SPOP or overexpression of a dominant negative version significantly raised fetal globin messenger RNA and protein levels with minimal detrimental effects on normal erythroid maturation, as determined by transcriptome and proteome analyses. SPOP controls HbF expression independently of the major transcriptional HbF repressors BCL11A and LRF. Finally, pharmacologic HbF inducers cooperate with SPOP depletion during HbF upregulation. Our study implicates SPOP and the CUL3 ubiquitin ligase system in controlling HbF production in human erythroid cells and may offer new therapeutic strategies for the treatment of β-hemoglobinopathies.

Posttranslational modifications of proteins control many complex biological processes, including genome expression, chromatin dynamics, metabolism, and cell division through a language of chemical modifications. Improvements in mass spectrometry-based proteomics have demonstrated protein acetylation is a widespread and dynamic modification in the cell; however, many questions remain on the regulation and downstream effects, and an assessment of the overall acetylation stoichiometry is needed. In this chapter, we describe the determination of acetylation stoichiometry using data-independent acquisition mass spectrometry to expand the number of acetylation sites quantified. However, the increased depth of data-independent acquisition is limited by the spectral library used to deconvolute fragmentation spectra. We describe a powerful approach of subcellular fractionation in conjunction with offline prefractionation to increase the depth of the spectral library. This deep interrogation of subcellular compartments provides essential insights into the compartment-specific regulation and downstream functions of protein acetylation.

Mammalian sirtuins (SIRT1 through SIRT7) are members of a highly conserved family of NAD+-dependent protein deacetylases that function in metabolism, genome maintenance, and stress responses. Emerging evidence suggests that some sirtuins display substrate specificity toward other acyl groups attached to the lysine ϵ-amine. SIRT6 was recently reported to preferentially hydrolyze long-chain fatty acyl groups over acetyl groups. Here we investigated the catalytic ability of all sirtuins to hydrolyze 13 different acyl groups from histone H3 peptides, ranging in carbon length, saturation, and chemical diversity. We find that long-chain deacylation is a general feature of mammalian sirtuins, that SIRT1 and SIRT2 act as efficient decrotonylases, and that SIRT1, SIRT2, SIRT3, and SIRT4 can remove lipoic acid. These results provide new insight into sirtuin function and a means for cellular removal of an expanding list of endogenous lysine modifications. Given that SIRT6 is a poor deacetylase in vitro, but binds and prefers to hydrolyze long-chain acylated peptides, we hypothesize that binding of certain free fatty acids (FFAs) could stimulate deacetylation activity. Indeed, we demonstrate that several biologically relevant FFAs (including myristic, oleic, and linoleic acids) at physiological concentrations induce up to a 35-fold increase in catalytic efficiency of SIRT6 but not SIRT1. The activation mechanism is consistent with fatty acid inducing a conformation that binds acetylated H3 with greater affinity. Binding of long-chain FFA and myristoylated H3 peptide is mutually exclusive. We discuss the implications of discovering endogenous, small-molecule activators of SIRT6. Background: Sirtuins regulate metabolism, genome maintenance, and stress responses. Results: Long-chain free fatty acids stimulate SIRT6 deacetylase, and sirtuins display distinct but overlapping specificity for diverse acylated peptides. Conclusion: SIRT6 is activated by biologically relevant fatty acids, and long-chain deacylation is a general feature of sirtuins. Significance: Discovery of endogenous, small-molecule activators of SIRT6 demonstrates the therapeutic potential of compounds that promote SIRT6 function.

Histone acetylation is a dynamic epigenetic modification that functions in the regulation of DNA-templated reactions, such as transcription. This lysine modification is reversibly controlled by histone (lysine) acetyltransferases and deacetylases. Here, we present methods employing isotopic labeling and mass spectrometry (MS) to comprehensively investigate histone acetylation dynamics. Turnover rates of histone acetylation are determined by measuring the kinetics of labeling from (13)C-labeled precursors of acetyl-CoA, which incorporates (13)C-carbon onto histones via the acetyltransferase reaction. Overall histone acetylation states are assessed from complete protease digestion to single amino acids, which is followed by MS analysis. Determination of site-specific acetylation stoichiometry is achieved by chemically acetylating endogenous histones with isotopic acetic anhydride, followed by trypsin digestion and LC-MS analysis. Combining metabolic labeling with stoichiometric analysis permits determination of both acetylation level and acetylation dynamics. When comparing genetic, diet, or environmental perturbations, these methods permit both a global and site-specific evaluation of how histone acetylation is dynamically regulated.

Reversible protein acetylation is a major regulatory mechanism for controlling protein function. Through genetic manipulations, dietary perturbations, and new proteomic technologies, the diverse functions of protein acetylation are coming into focus. Protein acetylation in mitochondria has taken center stage, revealing that 63% of mitochondrially localized proteins contain lysine acetylation sites. Here we summarize the field, and discuss salient topics that cover spurious versus targeted acetylation, the role of SIRT3 deacetylation, nonenzymatic acetylation, and molecular models for regulatory acetylations that display high and low stoichiometry.

HIV co-infection significantly impacts the natural history of hepatitis C virus (HCV) by increasing plasma HCV viral load, accelerating liver disease progression, and reducing rates of HCV clearance. Cytokines play an important role in regulating hepatic inflammation and fibrogenesis during chronic HCV infection, yet the impact of HIV on cytokine expression is unknown. In this study, an HCV continuous infection cell culture system was modified to permit co-infection with HIV to test the hypothesis that virus-induced disregulation of immune-response genes, particularly interferons and TGF-β, may create a permissive environment for the initial establishment of HIV/HCV co-infection in the host. CCR5-expressing Huh-7.5 hepatoma cells were transduced with human CD4 antigen to allow HIV infection in vitro. Co-infection of CD4⁺ Huh-7.5 cells with HIV and HCV or co-culture of HIV-infected CD4⁺ Huh-7.5 cells and HCV-infected Huh-7.5 cells increased the level of HCV RNA compared to HCV mono-infection. Quantitative gene expression analysis revealed HIV-induced up regulation of most tested IFN family genes when compared to HCV or co-infection. HCV infection induced up regulation of many TGF family genes that were subsequently down-regulated in the presence of HIV or HIV/HCV. Interestingly, co-infection resulted in down regulation of several IFN genes and significant up regulation of TGF-β genes leading to an overall enhancement of HCV replication. These data suggest that HIV infection may influence HCV replication in vitro by increasing levels of HCV RNA, possibly through the differential regulation of endogenous IFN and TGF family genes.

This article describes Bacteria ID Chips ('BacChips'): an inexpensive, portable, and autonomous microfluidic platform for identifying pathogenic strains of bacteria. BacChips consist of a set of microchambers and channels molded in the elastomeric polymer, poly(dimethylsiloxane) (PDMS). Each microchamber is preloaded with mono-, di-, or trisaccharides and dried. Pressing the layer of PDMS into contact with a glass coverslip forms the device; the footprint of the device in this article is ∼6 cm(2). After assembly, BacChips are degased under large negative pressure and are stored in vacuum-sealed plastic bags. To use the device, the bag is opened, a sample containing bacteria is introduced at the inlet of the device, and the degased PDMS draws the sample into the central channel and chambers. After the liquid at the inlet is consumed, air is drawn into the BacChip via the inlet and provides a physical barrier that separates the liquid samples in adjacent microchambers. A pH indicator is admixed with the samples prior to their loading, enabling the metabolism of the dissolved saccharides in the microchambers to be visualized. Importantly, BacChips operate without external equipment or instruments. By visually detecting the growth of bacteria using ambient light after ∼4 h, we demonstrate that BacChips with ten microchambers containing different saccharides can reproducibly detect the ESKAPE panel of pathogens, including strains of: Enterococcus faecalis, Enteroccocus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, Enterobacter aerogenes, and Enterobacter cloacae. This article describes a BacChip for point-of-care detection of ESKAPE pathogens and a starting point for designing multiplexed assays that identify bacterial strains from clinical samples and simultaneously determine their susceptibility to antibiotics.