Identification of endoribonuclease specific cleavage positions reveals novel targets of RNase III in Streptococcus pyogenes.

A better understanding of transcriptional and post-transcriptional regulation of gene expression in bacteria relies on studying their transcriptome. RNA sequencing methods are used not only to assess RNA abundance but also the exact boundaries of primary and processed transcripts. Here, we developed a method, called identification of specific cleavage position (ISCP), which enables the identification of direct endoribonuclease targets in vivo by comparing the 5΄ and 3΄ ends of processed transcripts between wild type and RNase deficient strains. To demonstrate the ISCP method, we used as a model the double-stranded specific RNase III in the human pathogen Streptococcus pyogenes. We mapped 92 specific cleavage positions (SCPs) among which, 48 were previously described and 44 are new, with the characteristic 2 nucleotides 3΄ overhang of RNase III. Most SCPs were located in untranslated regions of RNAs. We screened for RNase III targets using transcriptomic differential expression analysis (DEA) and compared those with the RNase III targets identified using the ISCP method. Our study shows that in S. pyogenes, under standard growth conditions, RNase III has a limited impact both on antisense transcripts and on global gene expression with the expression of most of the affected genes being downregulated in an RNase III deletion mutant.

Primary osteomyelitis of the sternum in the pediatric age group: report of a new case and comprehensive analysis of seventy-four cases.

Pediatric primary osteomyelitis of the sternum may have a non-specific onset and be diagnosed late. We analyzed all accessible published cases (n = 73) and 1 new case in order to describe presenting signs and symptoms, laboratory findings, diagnostic imaging features, causative pathogens, treatments, complications and outcomes. This analysis represents the first comprehensive description of the natural history of this rare infection.

HUM calculator and HUM package for R: easy-to-use software tools for multicategory receiver operating characteristic analysis.

UNLABELLED: Receiver operating characteristic (ROC) analysis is usually applied in bioinformatics to evaluate the abilities of biological markers to differentiate between the presence or absence of a disease. It includes the derivation of the useful scalar performance measure area under the ROC curve for binary classification tasks. As real applications often deal with more than two classes, multicategory ROC analysis and the corresponding hypervolume under the manifold (HUM) measure have become a topic of growing interest. To support researchers in carrying out multicategory ROC analysis, we have developed two tools in different programming environments which feature user-friendly, object-oriented and flexible interfaces and enable the user to compute HUM values and plot 2D- and 3D-ROC curves. AVAILABILITY: The software is freely available from our Web site http://public.ostfalia.de/∼klawonn/HUM.htm

Amyloid arthropathy associated with multiple myeloma: a systematic analysis of 101 reported cases.

OBJECTIVE: Amyloid deposition in multiple myeloma (MM) may lead to an arthropathy resembling rheumatoid arthritis (RA). Since a systematic description of its natural history is lacking, we have performed a systematic analysis of all published cases. METHODS: Literature review featuring backward and forward database searches and direct inspection of reference lists. Inclusion criteria were as follows: publication between 1931 and 2012, diagnosis of multiple myeloma, and demonstration of light chain amyloid (AL) in any organ or in synovial fluid, arthritis, or synovitis. RESULTS: Overall, 101 cases were identified. Median age was 59 years and the male-to-female ratio was 1:1. A systemic manifestation of MM was reported in 88 cases. In 53 of these, characteristic physical findings (carpal tunnel syndrome, macroglossia, shoulder pad, and soft tissue swelling/masses) were present. Arthritis manifested before the diagnosis of MM in 63 cases, with 33 cases initially misdiagnosed as RA. There were 72 cases of poly-, 17 of oligo-, and three of monoarthritis. The shoulder joint was most commonly affected, followed by knees and small hand joints. Median synovial fluid leukocyte count was 2460 cells/mm(3), and was normal in seven cases. Synovial histopathology often featured mild synovitis without plasma cell infiltration. Imaging revealed articular or periarticular inflammation in many cases and bone lesions near 22% of affected joints. Treatments varied but led to some improvement in the majority of cases. CONCLUSIONS: These results solidify previous experience that MM arthropathy tends to feature a symmetric RF-negative nonerosive polyarthritis. However, the results also highlight the diversity of its presentations and stress the importance of arthropathy as a potentially under-recognized presenting manifestation of MM.

The relative composition of the inflammatory infiltrate as an additional tool for synovial tissue classification.

OBJECTIVES: Traditionally, differences in absolute numbers of cells expressing a certain marker (e.g., positive staining cells per mm²) have been used in immunohistological synovial tissue classification. We have begun to evaluate the relative composition of the inflammatory infiltrates, i.e. percentages of inflammatory cell types in inflammatory infiltrates, as an alternate classification tool that may potentially improve tissue diagnostics, subgrouping in clinical trials, and understanding of pathogenesis of inflammatory and noninflammatory arthropathies. METHODS: Synovial tissue specimens (normal synovium, n=15; orthopedic arthropathies, n=6; osteoarthritis, n=26; early undifferentiated arthritis, n=10; rheumatoid arthritis, n=26; chronic septic arthritis, n=11) were stained for CD15, CD68, CD3, CD20, and CD38. Densities of cells expressing a given marker were determined in the superficial subintima. Binary and multicategory receiver operating characteristic (ROC) analysis and naïve Bayes classifier were used to compare the abilities of (1) the absolute densities of cells expressing a given marker (absolute method) with (2) the percentages of these cells in the inflammatory cell population (relative method) to differentiate among the six tissue classes. RESULTS: The inflammatory infiltrates in normal synovium and the orthopedic arthropathies consisted almost exclusively of CD68+ and CD3+ cells. Notable fractions of CD20+ and CD38+ cells appeared in a subset of osteoarthritis samples, and increased further in early, rheumatoid and chronic septic arthritis. ROC analyses and naïve Bayes classifier ranked the absolute method above the relative method in terms of overall discriminatory ability. The relative method became slightly superior when the samples were also stratified according to the total number of inflammatory cells/mm². CONCLUSIONS: This exploratory investigation featuring a variety of joint disorders revealed that measuring the relative proportions of inflammatory cell types may aid in synovial tissue classification if the samples are also stratified according to the intensity of inflammation.

MHC class I-related antigen-processing machinery component defects in feline mammary carcinoma.

Defects in HLA class I antigen-processing machinery (APM) component expression and/or function are frequent in human tumors. These defects may provide tumor cells with a mechanism to escape from recognition and destruction by HLA class I antigen-restricted, tumor antigen-specific cytotoxic T cells. However, expression and functional properties of MHC class I antigens and APM components in malignant cells in other animal species have been investigated to a limited extent. However, this information can contribute to our understanding of the mechanisms underlying the association of MHC class I antigen and APM component defects with malignant transformation of cells and to identify animal models to validate targeted therapies to correct these defects. To overcome this limitation in the present study, we have investigated the expression of the catalytic subunits of proteasome (Y, X, and Z) and of immunoproteasome (LMP2, LMP7, and LMP10) as well as of MHC class I heavy chain (HC) in 25 primary feline mammary carcinomas (FMCs) and in 23 matched healthy mammary tissues. We found a reduced expression of MHC class I HC and of LMP2 and LMP7 in tumors compared with normal tissues. Concordantly, proteasomal cleavage specificities in extracts from FMCs were different from those in healthy tissues. In addition, correlation analysis showed that LMP2 and LMP7 were concordantly expressed in FMCs, and their expression was significantly correlated with that of MHC class I HC. The abnormalities we have found in the APM in FMCs may cause a defective processing of some tumor antigens.

Evaluation of glyceraldehyde-3-phosphate, prolylpeptidyl isomerase A, and a set of stably expressed genes as reference mRNAs in urate crystal inflammation.

BACKGROUND: The murine air pouch membrane represents an easily accessible tissue for studies on gene regulation in acute inflammation. Considering that acute inflammation may affect expression of molecular reference genes, we evaluated the expression of glyceraldehyde-3-phosphate dehydrogenase (GAPDH) and prolylpeptidyl isomerase A (PPIA) in the air pouch membrane during a complete time course of urate crystal inflammation and correlated the results with expression of interleukin (IL)-1ß and hypoxia inducible factor (HIF)-1α. In addition, we aimed to identify alternate potential reference genes. METHODS: Using custom microfluidic real-time PCR arrays, the expression of 96 genes including GAPDH, PPIA, IL-1ß, and HIF-1α was determined in dissected air pouch membranes 1, 4, 9, 18, 27, and 50 hours (h) after injecting monosodium urate (MSU) crystals into the pouch. One-way ANOVA was used to detect differential gene expression throughout the time course. Using the genes on these arrays as a convenience sample, alternate candidate reference genes were sought (1) with a biostatistical approach and (2) using the geNorm software tool. RESULTS: Pouch leukocytes peaked at t = 9h and declined toward t = 50h. PPIA expression was not differentially regulated (p = 0.52, ANOVA). In contrast, GAPDH mRNA increased steadily after crystal injection, reaching a maximal 2.8-fold increase at t = 18h (p = 0.0006, t test), which followed a marked induction of IL-1ß (max., 208-fold at t = 4h, p = 8.4 × 10-5, t test) and HIF-1α (max., 6.6-fold at t = 4h, p = 0.00025, t test). Fifteen genes were artifactually identified as "significantly regulated" when Ct values were normalized against GAPDH expression. The biostatistical approach and the geNorm analysis identified overlapping sets of candidate reference genes. Both ranked PPIA as the best candidate, followed by defender against cell death 1 (DAD1) and high-mobility group B1 (HMGB1). CONCLUSIONS: GAPDH mRNA expression is up-regulated in urate crystal inflammation, possibly due to inflammation-associated hypoxia. Using GAPDH mRNA for molecular normalization resulted in significant artifacts in the calculated expression of the target mRNAs. PPIA and other stably expressed genes promise to be more appropriate reference genes in this model.

Dissecting an alternative splicing analysis workflow for GeneChip Exon 1.0 ST Affymetrix arrays.

BACKGROUND: A new microarray platform (GeneChip Exon 1.0 ST) has recently been developed by Affymetrix http://www.affymetrix.com. This microarray platform changes the conventional view of transcript analysis since it allows the evaluation of the expression level of a transcript by querying each exon component. The Exon 1.0 ST platform does however raise some issues regarding the approaches to be used in identifying genome-wide alternative splicing events (ASEs). In this study an exon-level data analysis workflow is dissected in order to detect limit and strength of each step, thus modifying the overall workflow and thereby optimizing the detection of ASEs. RESULTS: This study was carried out using a semi-synthetic exon-skipping benchmark experiment embedding a total of 268 exon skipping events. Our results point out that summarization methods (RMA, PLIER) do not affect the efficacy of statistical tools in detecting ASEs. However, data pre-filtering is mandatory if the detected number of false ASEs are to be reduced. MiDAS and Rank Product methods efficiently detect true ASEs but they suffer from the lack of multiple test error correction. The intersection of MiDAS and Rank Product results efficiently moderates the detection of false ASEs. CONCLUSION: To optimize the detection of ASEs we propose the following workflow: i) data pre-filtering, ii) statistical selection of ASEs using both MiDAS and Rank Product, iii) intersection of results derived from the two statistical analyses in order to moderate family-wise errors (FWER).