Identification and characterization of a novel ubiquitous nucleolar protein ‘NARR’ encoded by a gene overlapping the rab34 oncogene

There are only few reports on protein products originating from overlapping mammalian genes even though computational predictions suggest that an appreciable fraction of mammalian genes could potentially overlap. Mass spectrometry-based proteomics has now acquired the tools to probe proteins in an unbiased manner, providing direct evidence of the output of the genomic and gene expression machinery. In particular, proteomics can refine gene predictions and discover novel gene-processing events and gene arrangements. Here, we report the mass spectrometric discovery and biochemical validation of the novel protein encoded by a gene overlapping rab34 oncogene. The novel protein is highly conserved in mammals. In humans, it contains 13 distinct Nine-Amino acid Residue-Repeats (NARR) with the consensus sequence PRVIV(S/T)PR in which the serine or threonine residues are phosphorylated during M-phase. NARR is ubiquitously expressed and resides in nucleoli where it colocalizes with ribosomal DNA (rDNA) gene clusters. Its distribution only partially overlaps with upstream binding factor, one of the main regulators of RNA Polymerase I activity, and is entirely uncoupled from it in mitotic cells and upon inhibition of transcription. NARR only partially colocalizes with fibrillarin, the pre-ribosomal RNA-processing protein, positioning NARR in a separate niche within the rDNA cluster

Classification of Inhibitors of Hepatic Organic Anion Transporting Polypeptides (OATPs): Influence of Protein Expression on Drug–Drug Interactions

ABSTRACT: The hepatic organic anion transporting poly-peptides (OATPs) influence the pharmacokinetics of several drug classes and are involved in many clinical drug−drug interactions. Predicting potential interactions with OATPs is, therefore, of value. Here, we developed in vitro and in silico models for identification and prediction of specific and general inhibitors of OATP1B1, OATP1B3, and OATP2B1. The maximal transport activity (MTA) of each OATP in human liver was predicted from transport kinetics and protein quantification. We then used MTA to predict the effects of a subset of inhibitors on atorvastatin uptake in vivo. Using a data set of 225 drug-like compounds, 91 OATP inhibitors were identified. In silico models indicated that lipophilicity and polar surface area are key molecular features of OATP inhibition. MTA predictions identified OATP1B1 and OATP1B3 as major determinants of atorvastatin uptake in vivo. The relative contributions to overall hepatic uptake varied with isoform specificities of the inhibitors

Examination of Late Palaeolithic archaeological sites in northern Europe for the preservation of cryptotephra layers

We report the first major study of cryptotephra (non-visible volcanic ash layers) on Late Palaeolithic archaeological sites in northern Europe. Examination of 34 sites dating from the Last Termination reveals seven with identifiable cryptotephra layers. Preservation is observed in minerogenic and organic deposits, although tephra is more common in organic sediments. Cryptotephra layers normally occur stratigraphically above or below the archaeology. Nearby off-site palaeoclimate archives (peat bogs and lakes <0.3 km distant) were better locations for detecting tephra. However in most cases the archaeology can only be correlated indirectly with such cryptotephras. Patterns affecting the presence/absence of cryptotephra include geographic position of sites relative to the emitting volcanic centre; the influence of past atmospherics on the quantity, direction and patterns of cryptotephra transport; the nature and timing of local site sedimentation; sampling considerations and subsequent taphonomic processes. Overall, while tephrostratigraphy has the potential to improve significantly the chronology of such sites many limiting factors currently impacts the successful application

Cell-type-resolved proteomic analysis of the human liver

Background & Aims The human liver functions through a complex interplay between parenchymal and non-parenchymal cells. Mass spectrometry-based proteomic analysis of intact tissue has provided an in-depth view of the human liver proteome. However, the predominance of parenchymal cells (hepatocytes) means that the total tissue proteome mainly reflects hepatocyte expression. Here we therefore set out to analyse the proteomes of the major parenchymal and non-parenchymal cell types in the human liver. Methods We applied quantitative label-free proteomic analysis on the major cell types of the human liver: hepatocytes, liver endothelial cells, Kupffer cells and hepatic stellate cells. Results We identified 9791 proteins, revealing distinct protein expression profiles across cell types, whose in vivo relevance was shown by the presence of cell-type-specific proteins. Analysis of proteins related to the immune system indicated that mechanisms of immune-mediated liver injury include the involvement of several cell types. Furthermore, in-depth investigation of proteins related to the absorption, distribution, metabolism, excretion and toxicity (ADMET) of xenobiotics showed that ADMET-related tasks are not exclusively confined to hepatocytes, and that non-parenchymal cells may contribute to drug transport and metabolism. Conclusions Overall, the data we provide constitute a unique resource for exploring the proteomes of the major types of human liver cells, which will facilitate an improved understanding of the human liver in health and disease

Subcellular fractionation of human liver reveals limits in global proteomic quantification from isolated fractions

The liver plays an important role in metabolism and elimination of xenobiotics, including drugs. Determination of concentrations of proteins involved in uptake, distribution, metabolism, and excretion of xenobiotics is required to understand and predict elimination mechanisms in this tissue. In this work, we have fractionated homogenates of snap -frozen human liver by differential centrifugation and performed quantitative mass spectrometry -based proteomic analysis of each fraction. Concentrations of proteins were calculated by the "total protein approach". A total of 4586 proteins were identified by at least five peptides and were quantified in all fractions. We found that the xenobiotics transporters of the canalicular and basolateral membranes were differentially enriched in the subcellular fractions and that phase I and II metabolizing enzymes, the cytochrome P450s and the UDP glucuronyl transferases, have complex subcellular distributions. These findings show that there is no simple way to scale the data from measurements in arbitrarily selected membrane fractions using a single scaling factor for all the proteins of interest. This study also provides the first absolute quantitative subcellular catalog of human liver proteins obtained from frozen tissue specimens. Our data provide quantitative insights into the sub cellular distribution of proteins and can be used as a guide for development of fractionation procedures

Multiple-Enzyme-Digestion Strategy Improves Accuracy and Sensitivity of Label- and Standard-Free Absolute Quantification to a Level That Is Achievable by Analysis with Stable Isotope-Labeled Standard Spiking

Quantification of individual proteins is an essential task in understanding biological processes. For example, determination of concentrations of proteins transporting and metabolizing xenobiotics is a prerequisite for drug disposition predictions in humans based on in vitro data. So far, this task has frequently been accomplished by targeted proteomics. This type of analyses requires preparation of stable isotope labeled standards for each protein of interest. The selection of appropriate standard peptides is usually tedious and the number of proteins that can be studied in a single experiment by these approaches is limited. In addition, incomplete digestion of proteins often affects the accuracy of the quantification. To circumvent these constrains in proteomic protein quantification, label- and standard-free approaches, such as "total protein approach" (TPA) have been proposed. Here we directly compare an approach using stable isotope labeled (SIL) standards and TPA for quantification of transporters and enzymes in human liver samples within the same LC-MS/MS runs. We show that TPA is a convenient alternative to SIL-based methods. Optimization of the sample preparation beyond commonly used single tryptic digestion, by adding consecutive cleavage steps, improves accuracy and reproducibility of the TPA method to a level, which is achievable by analysis using stable isotope-labeled standard spiking

In-depth quantitative analysis and comparison of the human hepatocyte and hepatoma cell line HepG2 proteomes

Hepatocytes play a pivotal role in human homeostasis. They are essential in regulation of glucose and lipid levels in blood and play a central role in metabolism of amino acids, lipids, drugs and xenobiotic-compounds. In addition, hepatocytes produce a major portion of proteins circulating in the blood. Hepatocytes were isolated from liver tissue obtained from surgical resections. Proteins were extracted and processed using filter aided sample preparation protocol and were analyzed by LC-MS/MS using high accuracy mass spectrometry. Proteins were quantified by the 'Total Protein Approach' and 'Proteomic Ruler'. We report a comprehensive proteomic analysis of purified human hepatocytes and the human hepatoma cell line HepG2. The complete dataset comprises 9400 proteins and provides a comprehensive and quantitative depiction of the proteomes of hepatocytes and HepG2 cells at the protein titer and copy number dimensions. We describe basic cell organization and in detail energy metabolism pathways and metabolite transport. We provide quantitative insights into protein synthesis and drug and xenobiotics catabolism. Our data delineate differences between the native human hepatocytes and HepG2 cells by providing for the first time quantitative data at protein concentrations and copy numbers.

SuperSILAC mix for quantitative proteomics of human tumor tissue

SILAC-labeled cell lines as internal standard for comprehensive human tumor tissue proteome quantification. Initially, we SILAC-labeled the breast cancer cell line HCC1599 and mixed the lysate with the lysate of mammary carcinoma tissue from an individual with grade II lobular carcinoma. We digested the resulting protein mixture according to the filter-aided sample preparation protocol 10 and separated peptides into six fractions by anion exchange chromatography in a StageTip format 11 . We analyzed each fraction by online reverse-phase chromatography coupled to high-resolution, quantitative mass spectrometric analysis using the LTQ Orbitrap Adding the labeled mixture, rather than the single cell line, to the tumor achieved the same number of quantified proteins in triplicate analysis but drastically improved quantification accuracy We also shortened the analysis time from one day per replicate to four hours per replicate by measuring the digest without prior separation on the new generation LTQ-Orbitrap Velos instrument. Despite the lower We describe a method to accurately quantify human tumor proteomes by combining a mixture of five stable-isotope labeling by amino acids in cell culture (siLac)-labeled cell lines with human carcinoma tissue. this generated hundreds of thousands of isotopically labeled peptides in appropriate amounts to serve as internal standards for mass spectrometry-based analysis. by decoupling the labeling from the measurement, this super-siLac method broadens the scope of siLac-based proteomics. In recent years, mass spectrometry has made great technological progress and is increasingly broadly applied in cell culture-based studies 1,2 . Nevertheless, accurate quantification of human tissue proteomes by high-resolution mass spectrometry methods is still in its infancy 3,4 . In the stable-isotope labeling by amino acids in cell culture (SILAC) method, cell lines are labeled through the incorporation of stable 'heavy' versions of essential amino acids in the cell populations to be compared A few studies have expanded the use of SILAC to tissue analysis. The Neuro2A cell line has been metabolically labeled and compared to total mouse brain 7 . A total of 602 proteins had been quantified, albeit with up to tenfold quantitative ratios between cell line and tissue. Such high ratios between sample and internal standard make accurate quantification difficult because the signal of the lowerabundance peptide in the SILAC pair may be close to the noise level. We have recently quantified proteins from primary mouse hepatocytes using SILAC-labeled Hepa1-6 cells 8 . Furthermore, entire mice can be SILAC-labeled, but this technology is not applicable to human subjects 9 . When applying proteomics to tumor biology, it is imperative to quantify a representative number of proteins, to obtain reproducible results and to study cancer-relevant proteins of low abundance. Therefore, we explored the use of a mix of multipl