An MRM-based workflow for quantifying cardiac mitochondrial protein phosphorylation in murine and human tissue

The regulation of mitochondrial function is essential for cardiomyocyte adaptation to cellular stress. While it has long been understood that phosphorylation regulates flux through metabolic pathways, novel phosphorylation sites are continually being discovered in all functionally distinct areas of the mitochondrial proteome. Extracting biologically meaningful information from these phosphorylation sites requires an adaptable, sensitive, specific and robust method for their quantification. Here we report a multiple reaction monitoring-based mass spectrometric workflow for quantifying site-specific phosphorylation of mitochondrial proteins. Specifically, chromatographic and mass spectrometric conditions for 68 transitions derived from 23 murine and human phosphopeptides, and their corresponding unmodified peptides, were optimized. These methods enabled the quantification of endogenous phosphopeptides from the outer mitochondrial membrane protein VDAC, and the inner membrane proteins ANT and ETC complexes I, III and V. The development of this quantitative workflow is a pivotal step for advancing our knowledge and understanding of the regulatory effects of mitochondrial protein phosphorylation in cardiac physiology and pathophysiology. This article is part of a Special Issue entitled: Translational Proteomics.     

Metabolic Labeling Reveals Proteome Dynamics of Mouse Mitochondria

Mitochondrial dysfunction is associated with many human diseases. Mitochondrial damage is exacerbated by inadequate protein quality control and often further contributes to pathogenesis. The maintenance of mitochondrial functions requires a delicate balance of continuous protein synthesis and degradation, i.e. protein turnover. To understand mitochondrial protein dynamics in vivo, we designed a metabolic heavy water (²H₂O) labeling strategy customized to examine individual protein turnover in the mitochondria in a systematic fashion. Mice were fed with ²H₂O at a minimal level (<5% body water) without physiological impacts. Mitochondrial proteins were analyzed from 9 mice at each of the 13 time points between 0 and 90 days (d) of labeling. A novel multiparameter fitting approach computationally determined the normalized peak areas of peptide mass isotopomers at initial and steady-state time points and permitted the protein half-life to be determined without plateau-level ²H incorporation. We characterized the turnover rates of 458 proteins in mouse cardiac and hepatic mitochondria and found median turnover rates of 0.0402 d⁻¹ and 0.163 d⁻¹, respectively, corresponding to median half-lives of 17.2 d and 4.26 d. Mitochondria in the heart and those in the liver exhibited distinct turnover kinetics, with limited synchronization within functional clusters. We observed considerable interprotein differences in turnover rates in both organs, with half-lives spanning from hours to months (∼60 d). Our proteomics platform demonstrates the first large-scale analysis of mitochondrial protein turnover rates in vivo, with potential applications in translational research.Mitochondrial dysfunctions are observed in disorders such as neurodegeneration, cardiovascular diseases, and aging (1–3). It is postulated that the failure to contain or replenish mitochondrial proteins damaged by reactive oxygen species directly underlies many pathological phenotypes (4). The development of effective treatments for these diseases therefore relies on understanding the molecular basis of protein dynamics. Outstanding questions are how the processes of mitochondrial proteome dynamics are regulated in different systems, and how their perturbations could progress to pathological remodeling of the organelle. Thus far, quantitative proteomics efforts have been predominated by steady-state measurements, which often provide fragmentary snapshots of the proteome that are difficult to comprehend in the context of other cellular events.To further understand mitochondrial dynamics in vivo, we examined the turnover rates of individual heart and liver mitochondrial proteins on a proteome scale. Both the liver and the heart contain large numbers of mitochondria, but cardiac and hepatic mitochondria differ in their protein composition, oxygen consumption, substrate utilization, and disease manifestation. However, these differences are often interpreted only by protein compositions and steady-state abundance, without the consideration of protein kinetics in the temporal dimension. Abnormal protein kinetics may indicate dysfunctions in protein quality control, the accumulation of damaged proteins, misfolding, or other proteinopathies. Protein dynamics itself is an important intrinsic property of the proteome, the disruption of which could be causal of cellular etiologies.At minimum, a kinetic definition of the proteome requires knowledge of the rate at which individual proteins are being replaced. Isotope tracers are particularly useful for tracking such continual renewal of the proteome in living systems, because they allow differentiation between preexisting and newly synthesized proteins (5). Among the available stable isotope precursors, heavy water (²H₂O) labeling offers several advantages with respect to safety, labeling kinetics, and cost (6, 7). First, ²H₂O administration to animals and humans at low enrichment levels is safe for months or even years (8). Second, maintaining constant ²H enrichment levels in body water following the initial intake of ²H₂O is easily achieved, because administrated ²H₂O rapidly equilibrates over all tissues but decays slowly (9, 10). Third, ²H₂O labeling is more cost effective than other stable isotope labeling methods. Importantly, ²H₂O intake induces universal ²H incorporation into biomolecules. Systematic insights into protein turnover in vivo could therefore be correlated to that of nucleic acids, carbohydrates, or lipids, enabling broad applications for this technology in studying mammalian systems, including humans.A variety of methodologies have been developed to analyze the extent of ²H incorporation in proteins following ²H₂O labeling, including GC-MS measurements of hydrolyzed target proteins (11–14) and peptide analysis in MALDI-TOF MS (15) and LC-MS (16, 17). More recently, Price et al. described an approach for measuring protein turnover by calculating the theoretical number of ²H-labeling sites on a peptide sequence (18) and reported the turnover rates of ∼100 human plasma proteins. Here we describe another novel strategy to determine protein turnover rates on a proteomic scale using ²H₂O labeling. By computing the parameters needed to deduce fractional protein synthesis using software we developed, we were able to obtain protein half-life data without relying on the asymptotic isotopic abundance of peptide ions. Our approach also has the unique benefit of automating all steps of isotopomer quantification and postcollection data analysis, and it does not require knowledge of the exact precursor enrichment or labeling sites of peptides. We observed diverse kinetics from 458 liver and heart mitochondrial proteins that inform essential characteristics of mitochondrial dynamics and intragenomic differences between the two organs.     

A glucose-tolerant β-glucosidase from Prunus domestica seeds: Purification and characterization

A glucose-tolerant β-glucosidase was purified to homogeneity from prune (Prunus domestica) seeds by successive ammonium sulfate precipitation, hydrophobic interaction chromatography and anion-exchange chromatography. The molecular mass of the enzyme was estimated to be 61 kDa by SDS-PAGE and 54 kDa by gel permeation chromatography. The enzyme has a pI of 5.0 by isoelectric focusing and an optimum activity at pH 5.5 and 55 °C. It is stable at temperatures up to 45 °C and in a broad pH range. Its activity was completely inhibited by 5 mM of Ag⁺ and Hg²⁺. The enzyme hydrolyzed both p-nitrophenyl β-d-glucopyranoside with a K_m of 3.09 mM and a V_max of 122.1 μmol/min mg and p-nitrophenyl β-d-fucopyranoside with a K_m of 1.65 mM and a V_max of 217.6 μmol/min mg, while cellobiose was not a substrate. Glucono-δ-lactone and glucose competitively inhibited the enzyme with K_i values of 0.033 and 468 mM, respectively.     

Effect of SNPs on Creatine Kinase Structure and Function: Identifying Potential Molecular Mechanisms for Possible Creatine Kinase Deficiency Diseases

Single-nucleotide polymorphisms (SNPs) are common genetic material changes that often occur naturally. SNPs can cause amino acid replacements that may lead to severe diseases, such as the well-known sickle-cell anemia. We constructed eight SNP mutants of human brain-type creatine kinase (CKB) based on bioinformatics predictions. The biochemical and biophysical characteristics of these SNP mutants were determined and compared to those of the wild-type creatine kinase to explore the potential molecular mechanisms of possible creatine kinase SNP-induced diseases. While the reactivation of six SNP mutants after heat shock dropped more than 45%, only three of them showed notable increases in ANS fluorescence intensity and decreases in catalytic efficiency. Among them, H26Y and P36T bind substrates as well as the wild-type form does, but the melting temperatures (T_m) dropped below body temperature, while the T59I mutant exhibited decreased catalytic activity that was most likely due to the much reduced binding affinity of this mutant for substrates. These findings indicate that SNPs such as H26Y, P36T and T59I have the potential to induce genetic diseases by different mechanisms.     

Drug discovery prospect from untapped species: indications from approved natural product drugs

Due to extensive bioprospecting efforts of the past and technology factors, there have been questions about drug discovery prospect from untapped species. We analyzed recent trends of approved drugs derived from previously untapped species, which show no sign of untapped drug-productive species being near extinction and suggest high probability of deriving new drugs from new species in existing drug-productive species families and clusters. Case histories of recently approved drugs reveal useful strategies for deriving new drugs from the scaffolds and pharmacophores of the natural product leads of these untapped species. New technologies such as cryptic gene-cluster exploration may generate novel natural products with highly anticipated potential impact on drug discovery.     

Mammalian PIK3C3/VPS34: the key to autophagic processing in liver and heart

PIK3C3/Vps34 is the class III PtdIns3K that is evolutionarily conserved from yeast to mammals. Its central role in mammalian autophagy has been suggested through the use of pharmacological inhibitors and the study of its binding partners. However, the precise role of PIK3C3 in mammals is not clear. Using mouse strains that allow tissue-specific deletion of PIK3C3, we have described an essential role of PIK3C3 in regulating autophagy, and liver and heart function.     

Clue to a New Deafness Gene: A Large Chinese Nonsyndromic Hearing Loss Family Linked to DFNA4

Hereditary hearing loss is one of the most common neurosensory defects in humans.Approximately 70％ of cases are nonsyndromic and could be inherited in autosomal dominant,autosomal recessive,mitochondrial,X-linked,and Y-linked manners (Wang et al.,2004;Alford,2011).The autosomal dominant type,comprising 15％-20％ of nonsyndromic hearing loss,is monogenic and genetically heterogeneous.Since the first dominant deafness locus (DFNA1) was identified in 1992,a total of 64 DFNA loci have been mapped (DFNA1-DFNA64),and 27 corresponding genes have been identified (http://hereditaryhearingloss.org).Previous studies have revealed that one deafness locus can be linked to more than one gene (Bayazit and Yilmaz,2006),and the question "one locus,how many genes?" was first raised about a decade ago (Van-Hauwe et al.,1999).So far,several loci,including DFNA2 and DFNA3,have been shown to be related to one or more genes,showing high genetic heterogeneity in hereditary hearing loss (Grifa et al.,1999;Goldstein and Lalwani,2002;Yan et al.,2011).     

黑龙江4种铁线莲色谱指纹特征比较分析

运用化学计量学方法,比较分析黑龙江4种铁线莲植物,辣蓼铁线莲、棉团铁线莲、褐毛铁线莲、齿叶铁线莲根及根茎石油醚提取物的色谱指纹特征。色谱-光谱数据的多元分辨结果表明4种铁线莲的色谱指纹特征中,总计至少有45种化学成分存在,共有的化学成分为14种,单独的化学成分分别为3、6、2及2种。聚类分析显示,辣蓼铁线莲与棉团铁线莲间的相似程度在4种铁线莲全部两-两组合的相似程度中最小。     

Development of an enrichment culture growing at low temperature used for ensiling rice straw

To speed up the conversion of rice straw into feeds in a low-temperature region, a start culture used for ensiling rice straw at low temperature was selected by continuous enrichment cultivation. During the selection, the microbial source for enrichment was rice straw and soil from two places in Northeast China. Lab-scale rice straw fermentation at 10 degrees C verified, compared with the commercial inocculant, that the selected start culture lowered the pH of the fermented rice straw more rapidly and produced more lactic acid. The results from denatured gradient gel eletrophoresis showed that the selected start culture could colonize into the rice straw fermentation system. To analyze the composition of the culture, a 16S clone library was constructed. Sequencing results showed that the culture mainly consisted of two bacterial species. One (A) belonged to Lactobacillus and another (B) belonged to Leuconostoc. To make clear the roles of composition microbes in the fermented system, quantitative PCR was used. For species A, the DNA mass increased continuously until sixteen days of the fermentation, which occupied 65%. For species B, the DNA mass amounted to 5.5% at six days of the fermentation, which was the maximum relative value during the fermentation. To the authors' best knowledge, this is the first report on ensiling rice straw with a selected starter at low temperature and investigation of the fermented characteristics.