DeltAMT: a statistical algorithm for fast detection of protein modifications from LC-MS/MS data

Identification of proteins and their modifications via liquid chromatography-tandem mass spectrometry is an important task for the field of proteomics. However, because of the complexity of tandem mass spectra, the majority of the spectra cannot be identified. The presence of unanticipated protein modifications is among the major reasons for the low spectral identification rate. The conventional database search approach to protein identification has inherent difficulties in comprehensive detection of protein modifications. In recent years, increasing efforts have been devoted to developing unrestrictive approaches to modification identification, but they often suffer from their lack of speed. This paper presents a statistical algorithm named DeltAMT (Delta Accurate Mass and Time) for fast detection of abundant protein modifications from tandem mass spectra with high-accuracy precursor masses. The algorithm is based on the fact that the modified and unmodified versions of a peptide are usually present simultaneously in a sample and their spectra are correlated with each other in precursor masses and retention times. By representing each pair of spectra as a delta mass and time vector, bivariate Gaussian mixture models are used to detect modification-related spectral pairs. Unlike previous approaches to unrestrictive modification identification that mainly rely upon the fragment information and the mass dimension in liquid chromatography-tandem mass spectrometry, the proposed algorithm makes the most of precursor information. Thus, it is highly efficient while being accurate and sensitive. On two published data sets, the algorithm effectively detected various modifications and other interesting events, yielding deep insights into the data. Based on these discoveries, the spectral identification rates were significantly increased and many modified peptides were identified.     

Abscisic acid perception and signaling transduction in strawberry: A model for non-climacteric fruit ripening

On basis of fruit differential respiration and ethylene effects, climacteric and non-climacteric fruits have been classically defined. Over the past decades, the molecular mechanisms of climacteric fruit ripening were abundantly described and found to focus on ethylene perception and signaling transduction. In contrast, until our most recent breakthroughs, much progress has been made toward understanding the signaling perception and transduction mechanisms for abscisic acid (ABA) in strawberry, a model for non-climacteric fruit ripening. Our reports not only have provided several lines of strong evidences for ABA-regulated ripening of strawberry fruit, but also have demonstrated that homology proteins of Arabidopsis ABA receptors, including PYR/PYL/RCAR and ABAR/CHLH, act as positive regulators of ripening in response to ABA. These receptors also trigger a set of ABA downstream signaling components, and determine significant changes in the expression levels of both sugar and pigment metabolism-related genes that are closely associated with ripening. Soluble sugars, especially sucrose, may act as a signal molecular to trigger ABA accumulation through an enzymatic action of 9-cis-epoxycarotenoid dioxygenase 1 (FaNCED1). This mini-review offers an overview of these processes and also outlines the possible, molecular mechanisms for ABA in the regulation of strawberry fruit ripening through the ABA receptors.     

Heritable epigenetic variation among maize inbreds

Epigenetic variation describes heritable differences that are not attributable to changes in DNA sequence. There is the potential for pure epigenetic variation that occurs in the absence of any genetic change or for more complex situations that involve both genetic and epigenetic differences. Methylation of cytosine residues provides one mechanism for the inheritance of epigenetic information. A genome-wide profiling of DNA methylation in two different genotypes of Zea mays (ssp. mays), an organism with a complex genome of interspersed genes and repetitive elements, allowed the identification and characterization of examples of natural epigenetic variation. The distribution of DNA methylation was profiled using immunoprecipitation of methylated DNA followed by hybridization to a high-density tiling microarray. The comparison of the DNA methylation levels in the two genotypes, B73 and Mo17, allowed for the identification of approximately 700 differentially methylated regions (DMRs). Several of these DMRs occur in genomic regions that are apparently identical by descent in B73 and Mo17 suggesting that they may be examples of pure epigenetic variation. The methylation levels of the DMRs were further studied in a panel of near-isogenic lines to evaluate the stable inheritance of the methylation levels and to assess the contribution of cis- and trans- acting information to natural epigenetic variation. The majority of DMRs that occur in genomic regions without genetic variation are controlled by cis-acting differences and exhibit relatively stable inheritance. This study provides evidence for naturally occurring epigenetic variation in maize, including examples of pure epigenetic variation that is not conditioned by genetic differences. The epigenetic differences are variable within maize populations and exhibit relatively stable trans-generational inheritance. The detected examples of epigenetic variation, including some without tightly linked genetic variation, may contribute to complex trait variation.     

Simultaneous determination of thiamphenicol, florfenicol and florfenicol amine in eggs by reversed-phase high-performance liquid chromatography with fluorescence detection

A specific, sensitive and widely applicable reversed-phase high-performance liquid chromatography with fluorescence detection (RP-HPLC-FLD) method was developed for the simultaneous determination of thiamphenicol (TAP), florfenicol (FF) and florfenicol amine (FFA) in eggs. Samples were extracted with ethyl acetate-acetonitrile-ammonium hydroxide (49:49:2, v/v), defatted with hexane, followed by RP-HPLC-FLD determination. Liquid chromatography was performed on a 5 μm LiChrospher C(18) column using a mobile phase composed of acetonitrile (A), 0.01 M sodium dihydrogen phosphate containing 0.005 M sodium dodecyl sulfate and 0.1% triethylamine, adjusted to pH 4.8 by 85% phosphoric acid (B) (A:B, 35:65 v/v), at a flow rate of 1.0 mL/min. The fluorescence detector of HPLC was set at 224 nm for excitation wavelength and 290 nm for emission wavelength. Limits of detection (LODs) were 1.5 μg/kg for TAP and FF, 0.5 μg/kg for FFA in eggs; limits of quantitation (LOQs) were 5 μg/kg for TAP and FF, 2 μg/kg for FFA in eggs. Linear calibration curves were obtained over concentration ranges of 0.025-5.0 μg/mL for TAP with determination coefficients of 0.9997, 0.01-10.0 μg/mL for FF with determination coefficients of 0.9997 and 0.0025-2.50 μg/mL for FFA with determination coefficients of 0.9998, respectively. The recovery values ranged from 86.4% to 93.8% for TAP, 87.4% to 92.3% for FF and from 89.0% to 95.2% for FFA. The corresponding intra-day and inter-day variation (relative standard deviation, R.S.D.) found to be less than 6.7% and 10.8%, respectively.     

MicroRNA‐155 prevents necrotic cell death in human cardiomyocyte progenitor cells via targeting RIP1

To improve regeneration of the injured myocardium, cardiomyocyte progenitor cells (CMPCs) have been put forward as a potential cell source for transplantation therapy. Although cell transplantation therapy displayed promising results, many issues need to be addressed before fully appreciating their impact. One of the hurdles is poor graft‐cell survival upon injection, thereby limiting potential beneficial effects. Here, we attempt to improve CMPCs survival by increasing microRNA‐155 (miR‐155) levels, potentially to improve engraftment upon transplantation. Using quantitative PCR, we observed a 4‐fold increase of miR‐155 when CMPCs were exposed to hydrogen‐peroxide stimulation. Flow cytometric analysis of cell viability, apoptosis and necrosis showed that necrosis is the main cause of cell death. Overexpressing miR‐155 in CMPCs revealed that miR‐155 attenuated necrotic cell death by 40 ± 2.3%via targeting receptor interacting protein 1 (RIP1). In addition, inhibiting RIP1, either by pre‐incubating the cells with a RIP1 specific inhibitor, Necrostatin‐1 or siRNA mediated knockdown, reduced necrosis by 38 ± 2.5% and 33 ± 1.9%, respectively. Interestingly, analysing gene expression using a PCR‐array showed that increased miR‐155 levels did not change cell survival and apoptotic related gene expression. By targeting RIP1, miR‐155 repressed necrotic cell death of CMPCs, independent of activation of Akt pro‐survival pathway. MiR‐155 provides the opportunity to block necrosis, a conventionally thought non‐regulated process, and might be a potential novel approach to improve cell engraftment for cell therapy.     

Human embryonic stem cells and metastatic colorectal cancer cells shared the common endogenous human microRNA‐26b

The increase in proliferation and the lack of differentiation of cancer cells resemble what occur in the embryonic stem cells during physiological process of embryogenesis. There are also striking similarities in the behaviour between the invasive placental cells and invasive cancer cells. In the present study, microarrays were used to analyse the global expression of microRNAs in a human embryonic stem cell line (i.e. HUES‐17) and four colorectal cancer (CRC) cell lines (i.e. LoVo, SW480, HT29 and Caco‐2) with different metastatic potentialities. Only the expression of miR‐26b was significant decreased in HUES‐17s and LoVo cells, compared with other three cell lines (P < 0.01). The quantitative real‐time PCR analysis confirmed the results of the microarray analysis. Overexpression of miR‐26b expression by miR‐26 mimics transfection and led to the significant suppression of the cell growth and the induction of apoptosis in LoVo cells in vitro, and the inhibition of tumour growth in vivo. Moreover, the potential targets of miR‐26b was predicted by using bioinformatics, and then the predicted target genes were further validated by comparing gene expression profiles between LoVo and NCM460 cell lines. Four genes (TAF12, PTP4A1, CHFR and ALS2CR2) with intersection were found to be the targets of miR‐26b. MetaCore network analysis further showed that the regulatory pathways of miR‐26b were significantly associated with the invasiveness and metastasis of CRC cells. These data suggest that miR‐26b might serve as a novel prognostic factor and a potential therapeutic target for CRC.     

First principle study of cysteine molecule on intrinsic and Au-doped graphene surface as a chemosensor device

To search for a high sensitivity sensor for cysteine, we investigated the adsorption of cysteine on intrinsic and Au-doped graphene sheets using density functional theory calculations. Binding energy is primarily determined by the type of atom which is closer to the adsorbed sheet. Compared with intrinsic graphene, Au-doped graphene system has higher binding energy value and shorter connecting distance, in which strong Au-S, Au-N and Au-O chemical bond interaction play the key role for stability. Furthermore, the density of states results show orbital hybridization between cysteine and Au-doped graphene sheet, but slight hybridization between the cysteine molecule and intrinsic graphene sheet. Large charge transfers exist in Au-doped graphene-cysteine system. The results of DOS and charge transfer calculations suppose that the electronic properties of graphene can be tuned by the adsorption site of cysteine. Therefore, graphene and Au-doped graphene system both possess sensing ability, except that Au-doped graphene is a better sensor for cysteine than intrinsic graphene.