Prefractionation of complex mixtures of proteins derived from biological samples is indispensable for proteome analysis via top-down mass spectrometry (MS). Polyacrylamide gel electrophoresis (PAGE), which enables high-resolution protein separation based on molecular size, is a widely used technique in biochemical experiments and has the potential to be useful in sample fractionation for top-down MS analysis. However, the lack of a means to efficiently recover the separated proteins in-gel has always been a barrier to its use in sample prefractionation. In this study, we present a novel experimental workflow, called Passively Eluting Proteins from Polyacrylamide gels as Intact species for MS (“PEPPI-MS”), which allows top-down MS of PAGE-separated proteins. The optimization of Coomassie brilliant blue staining followed by the passive extraction step in the PEPPI-MS workflow enabled the efficient recovery of proteins, separated on commercial precast gels, from a wide range of molecular weight regions in under 10 min. Two-dimensional separation combining offline PEPPI-MS with online reversed-phase liquid chromatographic separation resulted in identification of over 1000 proteoforms recovered from the target region of the gel (≤50 kDa). Given the widespread availability and relatively low cost of traditional sodium dodecyl sulfate (SDS)-PAGE equipment, the PEPPI-MS workflow will be a powerful prefractionation strategy for top-down proteomics.

The molecular mechanisms underlying the posttranslational modification of proteins in gastrointestinal cancer are still unknown. Here, we investigated the role of methylglyoxal modifications in gastrointestinal tumors. Methylglyoxal is a reactive dicarbonyl compound produced from cellular glycolytic intermediates that reacts non-enzymatically with proteins. By using a monoclonal antibody to methylglyoxal-modified proteins, we found that murine heat-shock protein 25 and human heat-shock protein 27 were the major adducted proteins in rat gastric carcinoma mucosal cell line and human colon cancer cell line, respectively. Furthermore, we found that heat-shock protein 27 was modified by methylglyoxal in ascending colon and rectum of patients with cancer. However, methylglyoxal-modified heat-shock protein 25/heat-shock protein 27 was not detected in non cancerous cell lines or in normal subject. Matrix-associated laser desorption/ionization mass spectrometry/mass spectrometry analysis of peptide fragments identified Arg-75, Arg-79, Arg-89, Arg-94, Arg-127, Arg-136, Arg-140, Arg-188, and Lys-123 as methylglyoxal modification sites in heat-shock protein 27 and in phosphorylated heat-shock protein 27. The transfer of methylglyoxal-modified heat-shock protein 27 into rat intestinal epithelial cell line RIE was even more effective in preventing apoptotic cell death than that of native control heat-shock protein 27. Furthermore, methylglyoxal modification of heat-shock protein 27 protected the cells against both the hydrogen peroxide- and cytochrome c-mediated caspase activation, and the hydrogen peroxide-induced production of intracellular reactive oxygen species. The levels of lactate converted from methylglyoxal were increased in carcinoma mucosal cell lines. Our results suggest that posttranslational modification of heat-shock protein 27 by methylglyoxal may have important implications for epithelial cell injury in gastrointestinal cancer.

General movements (GMs), a type of spontaneous movement, have been used for the early diagnosis of infant disorders. In clinical practice, GMs are visually assessed by qualified licensees; however, this presents a difficulty in terms of quantitative evaluation. Various measurement systems for the quantitative evaluation of GMs track target markers attached to infants; however, these markers may disturb infants' spontaneous movements. this paper proposes a markerless movement measurement and evaluation system for GMs in infants. The proposed system calculates 25 indices related to GMs, including the magnitude and rhythm of movements, by video analysis, that is, by calculating background subtractions and frame differences. Movement classification is performed based on the clinical definition of GMs by using an artificial neural network with a stochastic structure. This supports the assessment of GMs and early diagnoses of disabilities in infants. in a series of experiments, the proposed system is applied to movement evaluation and classification in full-term infants and lowbirth-weight infants. The experimental results confirm that the average agreement between four GMs classified by the proposed system and those identified by a licensee reaches up to 83.1 ± 1.84%. In addition, the classification accuracy of normal and abnormal movements reaches 90.2 ± 0.94%.

No abstract

Figure 7 in this paper should be replaced by the following version: Figure 7. MALDI-TOF mass spectra of two stages of the protocol; TMPP modification (a, b and c) and isolation of the C-terminal peptide (d, e and f) using gel separated subunits of RPA14 (a, d), RPA32 (b, e), RPA41 (c, f) from PfuRPA complex.

Background/Aim: Magnetic resonance imaging (MRI), cerebral blood flow single photon emission computed tomography (CBF-SPECT), fluorodeoxyglucose-positron emission tomography (FDG-PET) and cerebrospinal fluid (CSF) biomarkers are used for the diagnosis of Alzheimer’s disease (AD). We aimed to reveal the relative sensitivity of these tools in a memory clinic setting. Methods: In 207 patients with probable AD in our memory clinic, medial temporal lobe atrophy on MRI, hypoperfusion/hypometabolism of the parietotemporal lobe and posterior cingulate gyrus in ethylcysteinate dimer-CBF-SPECT/FDG-PET, and abnormalities of CSF amyloid β-protein 1–42, total tau and phosphorylated tau were evaluated as findings characteristic of AD. Results: The AD findings were observed in 77.4% of all AD patients with MRI, 81.6% with CBF-SPECT, 93.1% with FDG-PET and 94.0% with CSF biomarkers. At the stage of Clinical Dementia Rating (CDR) 0.5, CSF biomarkers were the most sensitive (90.0%); at the stage of CDR 1, FDG-PET (96.7%) and CSF biomarkers (95.5%) were highly sensitive. At the stage of CDR 2, all tools showed high positive percentages. Conclusion: The diagnosis of AD was most often supported by CSF biomarkers and FDG-PET at the early stage of dementia (CDR 1) and by CSF biomarkers at the earlier stage (CDR 0.5).

No abstract

Our results indicate that MBs, particularly CAA-related MBs would cause gray matter atrophy and glucose hypometabolism in AD.