BackgroundThe growth of high-throughput technologies such as microarrays and next generation sequencing has been accompanied by active research in data analysis methodology, producing new analysis methods at a rapid pace. While most of the newly developed methods are freely available, their use requires substantial computational skills. In order to enable non-programming biologists to benefit from the method development in a timely manner, we have created the Chipster software.ResultsChipster (http://chipster.csc.fi/) brings a powerful collection of data analysis methods within the reach of bioscientists via its intuitive graphical user interface. Users can analyze and integrate different data types such as gene expression, miRNA and aCGH. The analysis functionality is complemented with rich interactive visualizations, allowing users to select datapoints and create new gene lists based on these selections. Importantly, users can save the performed analysis steps as reusable, automatic workflows, which can also be shared with other users. Being a versatile and easily extendable platform, Chipster can be used for microarray, proteomics and sequencing data. In this article we describe its comprehensive collection of analysis and visualization tools for microarray data using three case studies.ConclusionsChipster is a user-friendly analysis software for high-throughput data. Its intuitive graphical user interface enables biologists to access a powerful collection of data analysis and integration tools, and to visualize data interactively. Users can collaborate by sharing analysis sessions and workflows. Chipster is open source, and the server installation package is freely available.

Background: A growing amount of scientific evidence suggests that microbes are involved in the aetiology of irritable bowel syndrome (IBS), and the gastrointestinal (GI) microbiota of individuals suffering from diarrhoea-predominant IBS (IBS-D) is distinguishable from other IBS-subtypes. In our study, the GI microbiota of IBS-D patients was evaluated and compared with healthy controls (HC) by using a high-resolution sequencing method. The method allowed microbial community analysis on all levels of microbial genomic guanine plus cytosine (G+C) content, including high G+C bacteria.

The human intestine is colonised with highly diverse and individually defined microbiota, which likely has an impact on the host well-being. Drivers of the individual variation in the microbiota compositions are multifactorial and include environmental, host and dietary factors. We studied the impact of the host secretor status, encoded by fucosyltransferase 2 (FUT2) -gene, on the intestinal microbiota composition. Secretor status determines the expression of the ABH and Lewis histo-blood group antigens in the intestinal mucosa. The study population was comprised of 14 non-secretor (FUT2 rs601338 genotype AA) and 57 secretor (genotypes GG and AG) adult individuals of western European descent. Intestinal microbiota was analyzed by PCR-DGGE and for a subset of 12 non-secretor subjects and 12 secretor subjects additionally by the 16S rRNA gene pyrosequencing and the HITChip phylogenetic microarray analysis. All three methods showed distinct clustering of the intestinal microbiota and significant differences in abundances of several taxa representing dominant microbiota between the non-secretors and the secretors as well as between the FUT2 genotypes. In addition, the non-secretors had lower species richness than the secretors. The soft clustering of microbiota into enterotypes (ET) 1 and 3 showed that the non-secretors had a higher probability of belonging to ET1 and the secretors to ET3. Our study shows that secretor status and FUT2 polymorphism are associated with the composition of human intestinal microbiota, and appears thus to be one of the key drivers affecting the individual variation of human intestinal microbiota.

BackgroundMesenchymal stromal cells (MSC) are shown to have a great therapeutic potential in many immunological disorders. Currently the therapeutic effect of MSCs is considered to be mediated via paracrine interactions with immune cells. Umbilical cord blood is an attractive but still less studied source of MSCs. We investigated the production of extracellular membrane vesicles (MVs) from human umbilical cord blood derived MSCs (hUCBMSC) in the presence (MVstim) or absence (MVctrl) of inflammatory stimulus.MethodshUCBMSCs were cultured in serum free media with or without IFN-γ and MVs were collected from conditioned media by ultracentrifugation. The protein content of MVs were analyzed by mass spectrometry. Hypoxia induced acute kidney injury rat model was used to analyze the in vivo therapeutic potential of MVs and T-cell proliferation and induction of regulatory T cells were analyzed by co-culture assays.ResultsBoth MVstim and MVctrl showed similar T-cell modulation activity in vitro, but only MVctrls were able to protect rat kidneys from reperfusion injury in vivo. To clarify this difference in functionality we made a comparative mass spectrometric analysis of the MV protein contents. The IFN-γ stimulation induced dramatic changes in the protein content of the MVs. Complement factors (C3, C4A, C5) and lipid binding proteins (i.e apolipoproteins) were only found in the MVctrls, whereas the MVstim contained tetraspanins (CD9, CD63, CD81) and more complete proteasome complex accompanied with MHCI. We further discovered that differently produced MV pools contained specific Rab proteins suggesting that same cells, depending on external signals, produce vesicles originating from different intracellular locations.ConclusionsWe demonstrate by both in vitro and in vivo models accompanied with a detailed analysis of molecular characteristics that inflammatory conditioning of MSCs influence on the protein content and functional properties of MVs revealing the complexity of the MSC paracrine regulation.

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Mutagen sensitivity, measuring the extent of chromosome damage induced by an in vitro treatment of peripheral lymphocytes with bleomycin, has been associated with an increased risk of various human cancers. Sensitivity to bleomycin appears to have high heritability and is usually considered to reflect individual capacity to repair DNA lesions. Another potential contributor to variation in bleomycin sensitivity could be inherited differences in the metabolism of bleomycin. We assessed whether genetic polymorphisms of DNA repair and xenobiotic-metabolizing enzymes (XMEs) could explain bleomycin sensitivity. Frequencies of bleomycin-induced chromatid breaks per cell (b/c) were determined for 80 healthy Caucasians. Genotypes of DNA repair genes XRCC (X-ray repair cross-complementing) 1 and 3 and XME genes bleomycin hydrolase (BLHX), glutathione S-transferase M1 (GSTM1) and T1 (GSTT1) and N-acetyltransferase 2 (NAT2) were analyzed from leukocyte DNA using methods based on polymerase chain reaction. The mean number of chromatid b/c was increased in individuals with XRCC1 codon 280 variant allele (P = 0.002; two-sided Mann-Whitney test). Smokers carrying BLHX codon 1450 variant allele showed a decrease in the mean number of chromatid b/c (P = 0.036). In multiple linear regression models including adjustment for age, sex, smoking and genotype, the adjusted relative risks (and 95% confidence intervals) were 1.18 (0.98-1.41) and 0.84 (0.69-1.00) for carriers of XRCC1 codon 280 and BLHX codon 1450 variant alleles, respectively. XRCC1 codon 280 polymorphism had a significant effect (P = 0.012) in predetermining whether the individual was classified as non-sensitive, sensitive or hypersensitive to bleomycin. Although based on relatively few individuals, our results suggest that bleomycin sensitivity is partially explained by genetic polymorphisms affecting DNA repair (XRCC1) and in vitro metabolism of bleomycin (BLHX).

According to a generally accepted concept Lewy-related pathology (LRP) follows hierarchical caudo-rostral progression. LRP is also frequently present concomitantly with Alzheimer’s disease (AD), and it has been hypothesized that AD-associated LRP forms a distinct type of α-synucleinopathy, where LRP originates in the amygdala. The frequency of distinct forms of LRP progression types has not been studied in a population-based setting. We investigated the distribution and progression of LRP and its relation to AD pathology and apolipoprotein (APOE) ε4 in a population-based sample of Finns aged over 85 years (N = 304). Samples from spinal cord to neocortical areas representing 11 anatomical sites without any hierarchical selection were analyzed immunohistochemically (α-synuclein antibody clone 5G4). LRP was present in 124 individuals (41%) and according to DLB Consortium guidelines 19 of them were categorized as brainstem, 10 amygdala-predominant, 41 limbic, and 43 diffuse neocortical type, whereas 11 could not be classified. To determine the LRP progression patterns, a systematic anatomical scoring was carried out by taking into account the densities of the semiquantitative LRP scores in each anatomic site. With this scoring 123 (99%) subjects could be classified into two progression pattern types: 67% showed caudo-rostral and 32% amygdala-based progression. The unsupervised statistical K-means cluster analysis was used as a supplementary test and supported the presence of two progression patterns and had a 90% overall concordance with the systematic anatomical scoring method. Severe Braak NFT stage, high CERAD score and APOE ε4 were significantly (all p < 0.00001) associated with amygdala-based, but not with caudo-rostral progression type (all p > 0.2). This population-based study demonstrates two distinct common LRP progression patterns in the very elderly population. The amygdala-based pattern was associated with APOE ε4 and AD pathology. The results confirm the previous progression hypotheses but also widen the concept of the AD-associated LRP.Electronic supplementary materialThe online version of this article (10.1007/s00401-019-02071-3) contains supplementary material, which is available to authorized users.

Parapoxviruses (PPV), of the family Poxviridae, cause a pustular cutaneous disease in sheep and goats (orf virus, ORFV) and cattle (pseudocowpoxvirus, PCPV and bovine papular stomatitis virus, BPSV). Here, we present the first genomic sequence of a reference strain of PCPV (VR634) along with the genomic sequence of a PPV (F00.120R) isolated in Finland from reindeer (Rangifer tarandus tarandus). The F00.120R and VR634 genomes are 135 and 145 kb in length and contain 131 and 134 putative genes, respectively, with their genome organization being similar to that of other PPVs. The predicted proteins of F00.120R and VR634 have an average amino acid sequence identity of over 95 %, whereas they share only 88 and 73 % amino acid identity with the ORFV and BPSV proteomes, respectively. The most notable differences were found near the genome termini. F00.120R lacks six and VR634 lacks three genes seen near the right terminus of other PPVs. Four genes at the left end of F00.120R and one in the middle of both genomes appear to be fragmented paralogues of other genes within the genome. VR634 has larger than expected inverted terminal repeats possibly as a result of genomic rearrangements. The high G+C content (64 %) of these two viruses along with amino acid sequence comparisons and whole genome phylogenetic analyses confirm the classification of PCPV as a separate species within the genus Parapoxvirus and verify that the virus responsible for an outbreak of contagious stomatitis in reindeer over the winter of 1999-2000 can be classified as PCPV.