Microbiota from Alzheimer's patients induce deficits in cognition and hippocampal neurogenesis.

Alzheimer's disease is a complex neurodegenerative disorder leading to a decline in cognitive function and mental health. Recent research has positioned the gut microbiota as an important susceptibility factor in Alzheimer's disease by showing specific alterations in the gut microbiome composition of Alzheimer's patients and in rodent models. However, it is unknown whether gut microbiota alterations are causal in the manifestation of Alzheimer's symptoms. To understand the involvement of Alzheimer's patient gut microbiota in host physiology and behaviour, we transplanted faecal microbiota from Alzheimer's patients and age-matched healthy controls into microbiota-depleted young adult rats. We found impairments in behaviours reliant on adult hippocampal neurogenesis, an essential process for certain memory functions and mood, resulting from Alzheimer's patient transplants. Notably, the severity of impairments correlated with clinical cognitive scores in donor patients. Discrete changes in the rat caecal and hippocampal metabolome were also evident. As hippocampal neurogenesis cannot be measured in living humans but is modulated by the circulatory systemic environment, we assessed the impact of the Alzheimer's systemic environment on proxy neurogenesis readouts. Serum from Alzheimer's patients decreased neurogenesis in human cells in vitro and were associated with cognitive scores and key microbial genera. Our findings reveal for the first time, that Alzheimer's symptoms can be transferred to a healthy young organism via the gut microbiota, confirming a causal role of gut microbiota in Alzheimer's disease, and highlight hippocampal neurogenesis as a converging central cellular process regulating systemic circulatory and gut-mediated factors in Alzheimer's.

A proteomic profile of the healthy human placenta.

BACKGROUND: The placenta remains one of the least studied organs within the human body. Yet, placental dysfunction has been associated with various pregnancy complications leading to both maternal and fetal death and long-term health consequences. The aim of this study was to characterise the protein networks of healthy term placental sub-anatomical regions using label free quantification mass spectrometry. METHODS: Three healthy placentae were sampled at five sample sites and each biopsy was dissected into maternal-, middle-, and fetal- sub-anatomical regions. Quadrupole-orbitrap mass spectrometer was used in data dependant analysis mode to identify 1859 unique proteins before detailed differential expression between regions. RESULTS: Protein profiling identified 1081, 1086, and 1101 proteins in maternal, middle, and fetal sub-anatomical regions respectively. Differentially expressed proteins were identified considering the effect between sample site location and sub-anatomical region on protein expression. Of these, 374 differentially expressed proteins (Two-way ANOVA adjusted p-value < 0.05, HSD Tukey adjusted p-value 0.05) were identified between sample site locations and sub-anatomical regions. The placenta specific disease map NaviCenta ( https://www.sbi.uni-rostock.de/minerva/index.xhtml?id=NaviCenta ) was used to focus functional analysis results to the placenta specific context. Subsequently, functional analysis with a focus on senescence, and mitochondrial function were performed. Significant differences were observed between sub-anatomical regions in protein intensity and composition. A decrease in anti-senescent proteins within the maternal sub-anatomical region, and an increase in proteins associated with a switch from ATP to fatty acid consumption as a source of energy between middle and fetal sub-anatomical regions were observed. CONCLUSION: These results suggest that normal proteomic variations exist within the anatomical structure of the placenta, thus recommending serial sectioning methodology for consistent placental research.

Proteomic analysis investigating kidney transplantation outcomes- a scoping review.

BACKGROUND: Kidney transplantation is the optimal treatment option for most patients with end-stage kidney disease given the significantly lower morbidity and mortality rates compared to remaining on dialysis. Rejection and graft failure remain common in transplant recipients with limited improvement in long-term transplant outcomes despite therapeutic advances. There is an unmet need in the development of non-invasive biomarkers that specifically monitor graft function and predict transplant pathologies that affect outcomes. Despite the potential of proteomic investigatory approaches, up to now, no candidate biomarkers of sufficient sensitivity or specificity have translated into clinical use. The aim of this review was to collate and summarise protein findings and protein pathways implicated in the literature to date, and potentially flag putative biomarkers worth validating in independent patient cohorts. METHODS: This review followed the Joanna Briggs' Institute Methodology for a scoping review. MedlineALL, Embase, Web of Science Core Collection, Scopus and Google Scholar databases were searched from inception until December 2022. Abstract and full text review were undertaken independently by two reviewers. Data was collated using a pre-designed data extraction tool. RESULTS: One hundred one articles met the inclusion criteria. The majority were single-centre retrospective studies of small sample size. Mass spectrometry was the most used technique to evaluate differentially expressed proteins between diagnostic groups and studies identified various candidate biomarkers such as immune or structural proteins. DISCUSSION: Putative immune or structural protein candidate biomarkers have been identified using proteomic techniques in multiple sample types including urine, serum and fluid used to perfuse donor kidneys. The most consistent findings implicated proteins associated with tubular dysfunction and immunological regulatory pathways such as leukocyte trafficking. However, clinical translation and adoption of candidate biomarkers is limited, and these will require comprehensive evaluation in larger prospective, multicentre trials.

Glycerophospholipid and detoxification pathways associated with small for gestation age pathophysiology: discovery metabolomics analysis in the SCOPE cohort.

INTRODUCTION: Small for gestational age (SGA) may be associated with neonatal morbidity and mortality. Our understanding of the molecular pathways implicated is poor. OBJECTIVES: Our aim was to determine the metabolic pathways involved in the pathophysiology of SGA and examine their variation between maternal biofluid samples. METHODS: Plasma (Cork) and urine (Cork, Auckland) samples were collected at 20 weeks' gestation from nulliparous low-risk pregnant women participating in the SCOPE study. Women who delivered an SGA infant (birthweight < 10th percentile) were matched to controls (uncomplicated pregnancies). Metabolomics (urine) and lipidomics (plasma) analyses were performed using ultra performance liquid chromatography-mass spectrometry. Features were ranked based on FDR adjusted p-values from empirical Bayes analysis, and significant features putatively identified. RESULTS: Lipidomics plasma analysis revealed that 22 out of the 33 significantly altered lipids annotated were glycerophospholipids; all were detected in higher levels in SGA. Metabolomic analysis identified reduced expression of metabolites associated with detoxification (D-Glucuronic acid, Estriol-16-glucuronide), nutrient absorption and transport (Sulfolithocholic acid) pathways. CONCLUSIONS: This study suggests higher levels of glycerophospholipids, and lower levels of specific urine metabolites are implicated in the pathophysiology of SGA. Further research is needed to confirm these findings in independent samples.

Association between phospholipid metabolism in plasma and spontaneous preterm birth: a discovery lipidomic analysis in the cork pregnancy cohort.

INTRODUCTION: Preterm birth (PTB) is defined as birth occurring before 37 weeks' gestation, affects 5-9% of all pregnancies in developed countries, and is the leading cause of perinatal mortality. Spontaneous preterm birth (sPTB) accounts for 31-50% of all PTB, but the underlying pathophysiology is poorly understood. OBJECTIVE: This study aimed to decipher the lipidomics pathways involved in pathophysiology of sPTB. METHODS: Blood samples were taken from SCreening fOr Pregnancy Endpoints (SCOPE), an international study that recruited 5628 nulliparous women, with a singleton low-risk pregnancy. Our analysis focused on plasma from SCOPE in Cork. Discovery profiling of the samples was undertaken using liquid chromatography-mass spectrometry Lipidomics, and features significantly altered between sPTB (n = 16) and Control (n = 32) groups were identified using empirical Bayes testing, adjusting for multiple comparisons. RESULTS: Twenty-six lipids showed lower levels in plasma of sPTB compared to controls (adjusted p < 0.05), including 20 glycerophospholipids (12 phosphatidylcholines, 7 phosphatidylethanolamines, 1 phosphatidylinositol) and 6 sphingolipids (2 ceramides and 4 sphingomyelines). In addition, a diaglyceride, DG (34:4), was detected in higher levels in sPTB compared to controls. CONCLUSIONS: We report reduced levels of plasma phospholipids in sPTB. Phospholipid integrity is linked to biological membrane stability and inflammation, while storage and breakdown of lipids have previously been implicated in pregnancy complications. The contribution of phospholipids to sPTB as a cause or effect is still unclear; however, our results of differential plasma phospholipid expression represent another step in advancing our understanding of the aetiology of sPTB. Further work is needed to validate these findings in independent pregnancy cohorts.

Blood biomarker discovery in drug-free schizophrenia: the contributionof proteomics and multiplex immunoassays.

INTRODUCTION: Recent evidence supports an association between systemic abnormalities and the pathology of psychotic disorders which has led to the search for peripheral blood-based biomarkers. Areas covered: Here, we summarize blood biomarker findings in schizophrenia from the literature identified by two methods currently driving biomarker discovery in the human proteome; mass spectrometry and multiplex immunoassay. From a total of 14 studies in the serum or plasma of drug-free schizophrenia patients; 47 proteins were found to be significantly altered twice or more, in the same direction. Pathway analysis was performed on these proteins, and the resulting pathways discussed in relation to schizophrenia pathology. Future directions are also discussed, with particular emphasis on the potential for high-throughput validation techniques such as data-independent analysis for confirmation of biomarker candidates. Expert commentary: We present promising findings that point to a convergence of pathophysiological mechanisms in schizophrenia that involve the acute-phase response, glucocorticoid receptor signalling, coagulation, and lipid and glucose metabolism.

Maternal immune activation induces changes in myelin and metabolic proteins, some of which can be prevented with risperidone in adolescence.

BACKGROUND: Maternal infection is a risk factor for schizophrenia but the molecular and cellular mechanisms are not fully known. Myelin abnormalities are amongst the most robust neuropathological changes observed in schizophrenia, and preliminary evidence suggests that prenatal inflammation may play a role. METHODS: Label-free liquid chromatography-mass spectrometry was performed on the prefrontal cortex (PFC) of adult rat offspring born to dams that were exposed on gestational day 15 to the viral mimic polyinosinic:polycytidylic acid [poly(I:C), 4 mg/kg] or saline and treated with the atypical antipsychotic drug risperidone (0.045 mg/kg) or saline in adolescence. Western blotting was employed to validate protein changes. RESULTS: Over 1,000 proteins were quantified in the PFC with pathway analyses implicating changes in core metabolic pathways, following prenatal poly(I:C) exposure. Some of these protein changes were absent in the PFC of poly(I:C)-treated offspring that subsequently received risperidone treatment in adolescence. Particularly interesting reductions in the expression of the myelin-related proteins myelin basic protein isoform 3 (MBP1) and rhombex 29 were observed, which were reversed by risperidone treatment. Validation by Western blotting confirmed changes in MBP1 and mitogen-activated kinase 1 (MAPK1). Western blotting was extended to assess the MAPK signalling proteins due to their roles in inflammation, namely phosphorylated MAPK1 and phosphorylated MAPK-activated protein kinase 2. Both were upregulated by poly(I:C) treatment and reversed by risperidone treatment. CONCLUSIONS: Overall, our data suggest that maternal inflammation may contribute to an increased risk for schizophrenia through mechanisms involving metabolic function and myelin formation and that risperidone in adolescence may prevent or reverse such changes.

Adolescent Risperidone treatment alters protein expression associated with protein trafficking and cellular metabolism in the adult rat prefrontal cortex.

The prefrontal cortex (PFC) is associated with mental health illnesses including schizophrenia, depression, bipolar disorder, and autism spectrum disorders. It richly expresses neuroreceptors which are the target for antipsychotics. However, as the precise mechanism of action of antipsychotic medications is not known, proteomic studies of the effects of antipsychotic drugs on the brain are warranted. In the current study, we aimed to characterize protein expression in the adult rodent PFC (n = 5 per group) following low-dose treatment with Risperidone or saline in adolescence (postnatal days 34-47). The PFC was examined by triplicate 1 h runs of label-free LC-MS/MS. The raw mass spectral data were analyzed with the MaxQuant(TM) software. Statistical analysis was carried out using SAS® Version 9.1. Pathway and functional analysis was performed with IngenuityPathway Analysis and in the Database for Annotation, Visualization and Integrated Discovery (DAVID), respectively, the most implicated pathways were found to be related to mitochondrial function, protein trafficking, and the cytoskeleton. This report adds to the current repertoire of data available concerning the effects of antipsychotic drugs on the brain and sheds light on their biological mechanisms. The MS data have been deposited with the ProteomeXchange Consortium with dataset identifier PXD000480.

The 'middle-aging' brain.

Middle age has historically been an understudied period of life compared to older age, when cognitive and brain health decline are most pronounced, but the scope for intervention may be limited. However, recent research suggests that middle age could mark a shift in brain aging. We review emerging evidence on multiple levels of analysis indicating that midlife is a period defined by unique central and peripheral processes that shape future cognitive trajectories and brain health. Informed by recent developments in aging research and lifespan studies in humans and animal models, we highlight the utility of modeling non-linear changes in study samples with wide subject age ranges to distinguish life stage-specific processes from those acting linearly throughout the lifespan.

Exercise mitigates a gut microbiota-mediated reduction in adult hippocampal neurogenesis and associated behaviours in rats.

Lifestyle factors, especially exercise, impact the manifestation and progression of psychiatric and neurodegenerative disorders such as depression and Alzheimer's disease, mediated by changes in hippocampal neuroplasticity. The beneficial effects of exercise may be due to its promotion of adult hippocampal neurogenesis (AHN). Gut microbiota has also been showed to be altered in a variety of brain disorders, and disturbances of the microbiota have resulted in alterations in brain and behaviour. However, whether exercise can counteract the negative effects of altered gut microbiota on brain function remains under explored. To this end, chronic disruption of the gut microbiota was achieved using an antibiotic cocktail in rats that were sedentary or allowed voluntary access to running wheels. Sedentary rats with disrupted microbiota displayed impaired performance in hippocampal neurogenesis-dependent tasks: the modified spontaneous location recognition task and the novelty suppressed feeding test. Performance in the elevated plus maze was also impaired due to antibiotics treatment. These behaviours, and an antibiotics-induced reduction in AHN were attenuated by voluntary exercise. The effects were independent of changes in the hippocampal metabolome but were paralleled by caecal metabolomic changes. Taken together these data highlight the importance of the gut microbiota in AHN-dependent behaviours and demonstrate the power of lifestyle factors such as voluntary exercise to attenuate these changes.

Abnormal TNF activity in Timp3-/- mice leads to chronic hepatic inflammation and failure of liver regeneration.

Tumor-necrosis factor (TNF), a pleiotropic cytokine, triggers physiological and pathological responses in several organs. Here we show that deletion of the mouse gene Timp3 resulted in an increase in TNF-alpha converting enzyme activity, constitutive release of TNF and activation of TNF signaling in the liver. The increase in TNF in Timp3(-/-) mice culminated in hepatic lymphocyte infiltration and necrosis, features that are also seen in chronic active hepatitis in humans. This pathology was prevented when deletion of Timp3 was combined with Tnfrsf1a deficiency. In a liver regeneration model that requires TNF signaling, Timp3(-/-) mice succumbed to liver failure. Hepatocytes from Timp3(-/-) mice completed the cell cycle but then underwent cell death owing to sustained activation of TNF. This hepatocyte cell death was completely rescued by a neutralizing antibody to TNF. Dysregulation of TNF occurred specifically in Timp3(-/-), and not Timp1(-/-) mice. These data indicate that TIMP3 is a crucial innate negative regulator of TNF in both tissue homeostasis and tissue response to injury.

Evaluation of hydrophilic interaction chromatography versus reversed-phase chromatography for fast aqueous species distribution analysis of Nickel(II)-Histidine complex species.

Nickel (Ni) is a trace heavy metal of importance in biological and environmental systems, with well documented allergy and carcinogenic effects in humans. With Ni(II) as the dominant oxidation state, the elucidation of the coordination mechanisms and labile complex species responsible for its transportation, toxicity, allergy, and bioavailability is key to understanding its biological effects and location in living systems. Histidine (His) is an essential amino acid that contributes to protein structure and activity and in the coordination of Cu(II) and Ni(II) ions. The aqueous low molecular weight Ni(II)-Histidine complex consists primarily of two stepwise complex species Ni(II)(His)1 and Ni(II)(His)2 in the pH range of 4 to 12. Four chromatographic columns, including the superficially porous Poro-shell EC-C18, Halo RP-amide and Poro-shell bare silica-HILIC columns, alongside a Zic-cHILIC fully porous column, were evaluated for the fast separation of the individual Ni(II)-Histidine species. Of these the Zic-cHILIC exhibited high efficiency and selectivity to distinguish between the two stepwise species Ni(II)His1 and Ni(II)His2 as well as free Histidine, with a fast separation within 120 s at a flow rate of 1 ml/min. This HILIC method utilizing the Zic-cHILIC column was initially optimized for the simultaneous analysis of Ni(II)-His-species using UV detection with a mobile phase consisting of 70% ACN and sodium acetate buffer at wwpH 6. Furthermore, the aqueous metal complex species distribution analysis for the low molecular weight Ni(II)-histidine system was chromatographically determined at various metal-ligand ratios and as a function of pH. The identities of Ni(II)His1 and Ni(II)-His2 species were confirmed using HILIC electrospray ionization- mass spectrometry (HILIC-ESI-MS) at negative mode.

Image analysis tools and emerging algorithms for expression proteomics.

Since their origins in academic endeavours in the 1970s, computational analysis tools have matured into a number of established commercial packages that underpin research in expression proteomics. In this paper we describe the image analysis pipeline for the established 2-DE technique of protein separation, and by first covering signal analysis for MS, we also explain the current image analysis workflow for the emerging high-throughput 'shotgun' proteomics platform of LC coupled to MS (LC/MS). The bioinformatics challenges for both methods are illustrated and compared, whereas existing commercial and academic packages and their workflows are described from both a user's and a technical perspective. Attention is given to the importance of sound statistical treatment of the resultant quantifications in the search for differential expression. Despite wide availability of proteomics software, a number of challenges have yet to be overcome regarding algorithm accuracy, objectivity and automation, generally due to deterministic spot-centric approaches that discard information early in the pipeline, propagating errors. We review recent advances in signal and image analysis algorithms in 2-DE, MS, LC/MS and Imaging MS. Particular attention is given to wavelet techniques, automated image-based alignment and differential analysis in 2-DE, Bayesian peak mixture models, and functional mixed modelling in MS, and group-wise consensus alignment methods for LC/MS.

Peptide fractionation in proteomics approaches.

Peptide fractionation is extremely important in proteomics approaches. Full proteome characterization is desired from complex organisms, and with growing interest in post-translational modifications an extended protein sequence coverage is required. Peptide fractionation techniques have the great challenge of feeding current mass spectrometers in a way in which these issues are met. Peptide fractionation can be divided into three simple components: the column characteristics; the mobile phase; and peptide properties (charge, polarity, hydrophobicity and size). The current challenges are in the combination of these three components to allow comprehensive proteomics studies to be improved.

Anxiety, depression, and stress in response to the coronavirus disease-19 pandemic.

OBJECTIVE: The objective of the study was to determine the state of anxiety, depression, and stress present in the society during the development of the 2019 coronavirus pandemic. METHODS: Mixed methods study; a three-section questionnaire was developed which included sociodemographic, perceptions, emotions, and behaviors related to the 2019 coronavirus pandemic, and two emotional assessment psychometric tests. The proportions and confidence intervals of the variables were calculated and compared using the Chi-square test. RESULTS: More than 40% of the subjects presented some degree of anxiety and 41.3% depression; the proportion of stress was < 30%. Of the subjects who experienced anxiety, 18.6% also had moderate-to-very severe depression or stress. CONCLUSION: There are emotional indicators derived from the 2019 coronavirus pandemic in almost half of the study population. The identification and timely treatment of these states could lessen the psychological impact due to 2019 coronavirus.

OBJETIVO: Determinar el estado de ansiedad, depresión y estrés en la sociedad durante el desarrollo de la pandemia de COVID-19. MÉTODO: Estudio de métodos mixtos. Se desarrolló un cuestionario de tres secciones que incluía aspectos sociodemográficos, percepciones, emociones y comportamientos relacionados con la pandemia de COVID-19, y dos pruebas psicométricas de evaluación emocional. Las proporciones y los intervalos de confianza de las variables se calcularon y compararon mediante la prueba de ji al cuadrado. RESULTADOS: Más del 40% de los sujetos presentaron algún grado de ansiedad y el 41,3% de depresión; la proporción de estrés fue inferior al 30%. De los sujetos que experimentaron ansiedad, el 18.6% también tenía depresión o estrés moderado a muy intenso. CONCLUSIÓN: Existen indicadores emocionales derivados de la pandemia de COVID-19 en casi la mitad de la población del estudio. La identificación y el tratamiento oportuno de estos estados podrían disminuir el impacto psicológico debido al COVID-19.

Effect of L-Ergothioneine on the metabolic plasma profile of the RUPP rat model of pre-eclampsia.

INTRODUCTION: Pre-eclampsia is a major cause of maternal and fetal mortality and morbidity worldwide. Its pathophysiology remains unclear, but mitochondrial dysfunction and oxidative stress have been implicated. L-Ergothioneine is a naturally occurring, water-soluble betaine, that has demonstrated antioxidant properties. Using the reduced uterine perfusion pressure (RUPP) rat model of pre-eclampsia, this study aimed to define the plasma metabolic profile following treatment with L-Ergothioneine. METHODS: The effect of L-Ergothioneine (ET) treatment was explored using in vivo treatment in rats: Sham control (SC, n = 5), RUPP control (RC, n = 5), Sham +ET (ST, n = 5), RUPP +ET (RT, n = 5). Differential expression of plasma metabolites were obtained using untargeted liquid chromatography coupled to mass spectrometry. Statistical analysis was performed on normalised data comparing RC to SC, RT to RC, and RT to ST. Metabolites significantly altered (FDR < 0.05) were identified through database search. RESULTS: We report significantly lower levels of L-palmitoylcarnitine in RC compared to SC, a fatty acyl substrate involved in beta-oxidation in the mitochondria. We report that a metabolite that has been associated with oxidative stress (Glutamylcysteine) was detected at significantly higher levels in RT vs RC and RT vs ST. Five metabolites associated with inflammation were significantly lower in RT vs RC and three metabolites in RT vs ST, demonstrating the anti-inflammatory effects of ET in the RUPP rat model of pre-eclampsia. CONCLUSIONS: L-Ergothioneine may help preserve mitochondrial function by increasing antioxidant levels, and reducing inflammatory responses associated with pre-eclampsia. This study shows the potential of L-Ergothioneine as a treatment for pre-eclampsia.

5th BSPR-EBI meeting, proteomics: from Technology to New Biology 8-10 July 2008, Wellcome Trust Conference Centre, Hinxton, Cambridge, UK.

This paper reports on the 5(th) joint British Society for Proteome Research (BSPR) and European Bioinformatics Institute (EBI) meeting which took place at the Wellcome Trust Conference Centre, Cambridge, UK, from the 8(th) to 10(th) July, 2008. As in previous years, the meeting attracted leading experts in the field who presented the latest cutting edge in proteomics. The meeting was entitled "Proteomics: From Technology to New Biology" taking into account the major transition proteomics has undergone in the past few years. In particular, the use of multiple reaction monitoring (MRM)-based targeted experiments for absolute quantification and validation of proteins was the hot topic of the meeting. Attended by some 250 delegates, the conference was extremely well organised and provided a great opportunity for discussion and initiation of new collaborations.

2-D DIGE analysis implicates cytoskeletal abnormalities in psychiatric disease.

The mechanisms underlying white matter changes in psychiatric disease are not known. We aimed to characterise the differential protein expression in deep white matter from the dorsolateral prefrontal cortex from 35 schizophrenia, 35 bipolar disorder, and 35 control subjects, from the Stanley Array Collection. We used 2-D DIGE to profile for protein expression changes in the brain. We found 70 protein spots to be significantly differentially expressed between disease and control subjects (ANCOVA, p<0.05), 46 of which were subsequently identified by LC-MS/MS. The proteins identified included novel disease candidates as well as proteins that have previously been reported as abnormal in schizophrenia, thus reinforcing their association with the disease. Furthermore, we confirmed the direction of change for three proteins using ELISA, namely neurofilament-light, amphiphysin II, and Rab-GDP-alpha, in a subset of the Stanley Array Collection. In addition, altered expression of neurofilament-light, amphiphysin II, and Rab-GDP-alpha was not observed in the cortex of mice chronically treated with haloperidol, making it less likely that these alterations are a consequence of neuroleptic medication. The data presented here strongly suggest disruption of the cytoskeleton and its associated signal transduction proteins in schizophrenia, and to a lesser extent in bipolar disorder.

Assessing the use of thermal treatment to preserve the intact proteomes of post-mortem heart and brain tissue.

Protein degradation that occurs in tissue during post-mortem interval or sample preparation is problematic in quantitative analyses as confounding variables may arise. Ideally, such artefacts should be prevented by preserving the native proteome during sample preparation. We assessed the efficacy of thermal treatment (TT) to preserve the intact proteome of mouse heart and brain tissue in comparison to standard snap-freezing with liquid nitrogen (LN). Tissue samples were collected, either snap frozen (LN), subjected to TT, or snap frozen followed by thermal treatment, and subsequently analysed by 2-DE. In heart tissue, following quantitative image analysis, we observed 77 proteins that were significantly altered across the three treatment groups (ANOVA, p<0.05). Principal component and clustering analyses revealed LN and TT to be equally beneficial. These findings were confirmed by MS identification of the significantly altered proteins. In brain tissue, 189 proteins were significantly differentially expressed across the three treatment groups (ANOVA, p<0.05). Brain tissue appeared to be more responsive to TT than heart and distinct clusters of differentially expressed proteins were observed across treatments. Overall, TT of brain tissue appears to have beneficial effects on protein stabilisation during sample preparation with preservation of high-molecular-weight proteins and reduction in protein fragmentation.

Comparative analysis of OFFGel, strong cation exchange with pH gradient, and RP at high pH for first-dimensional separation of peptides from a membrane-enriched protein fraction.

The analysis and quantitation of membrane proteins have proved challenging for proteomics. Although several approaches have been introduced to complement gel-based analysis of intact proteins, the literature is rather limited in comparing major emerging approaches. Peptide fractionation using IEF (OFFGel), strong cation exchange HPLC using a pH gradient (SCX-pG), and RP HPLC at high pH, have been shown to increase peptide and protein identification over classic MudPIT approaches. This article compares these three approaches for first-dimensional separation of peptides using a detergent phase (Triton X-114) enriched membrane fraction from mouse cortical brain tissue. Results indicate that RP at high pH (pH 10) was superior for the identification of more peptides and proteins in comparison to the OFFGel or the SCX-pG approaches. In addition, gene ontology analysis (GOMiner) revealed that RP at high pH (pH 10) successfully identified an increased number of proteins with "membrane" ontology, further confirming its suitability for membrane protein analysis, in comparison to SCX-pG and OFFGel techniques.