No widespread induction of cell death genes occurs in pure motoneurons in an amyotrophic lateral sclerosis mouse model

To identify candidate genes that may be involved in motoneuron degeneration, we combined laser capture microdissection with microarray technology. Gene expression in motoneurons was analyzed during the progression of the disease in transgenic SOD1G93A mice that develop motoneuron loss. Three major observations were made: first, there was only a small number of genes that were differentially expressed in motoneurons at a pre-symptomatic age (27 out of 34 000 transcripts). Secondly, there is an early specific up-regulation of the gene coding for the intermediate filament vimentin that is increased even further during disease progression. Using in situ hybridization and immunohistochemical analysis, we show that vimentin expression was not only elevated in motoneurons but that the protein formed inclusions in the motoneuron cytoplasm. Thirdly, a time-course analysis of the motoneurons at a symptomatic age (90 and 120 days) showed a modest de-regulation of only a few genes associated with cell death pathways; however, a massive up-regulation of genes involved in cell growth and/or maintenance was observed. This is the first description of the gene profile of SOD1G93A motoneurons during disease progression and unexpectedly, no widespread induction of cell death-associated genes was detected in motoneurons of SOD1G93A mic

modulation of inflammation related genes in the cornea of a mouse model of dry eye upon treatment with cyclosporine eye drops

ABSTRACTPurpose/Aim: Inflammation is recognized as playing an etiological role in dry eye disease. This study aimed to assess the efficacy of various topical cyclosporine A (CsA) formulations on co..

Conjunctival Inflammatory Gene Expression Profiling in Dry Eye Disease: Correlations With HLA-DRA and HLA-DRB1

Purpose: In several multicenter clinical trials, HLA-DR was found to be a potential biomarker of dry eye disease (DED)'s severity and prognosis. Given the fact that HLA-DR receptor is a heterodimer consisting in an alpha and a beta chain, we intended to investigate the correlation of inflammatory targets with the corresponding transcripts, HLA-DRA and HLA-DRB1, to characterize specific targets closely related to HLA-DR expressed in conjunctival cells from patients suffering from DED of various etiologies.Methods: A prospective study was conducted in 88 patients with different forms of DED. Ocular symptom scores, ocular-staining grades, tear breakup time (TBUT) and Schirmer test were evaluated. Superficial conjunctival cells were collected by impression cytology and total RNAs were extracted for analyses using the new NanoString® nCounter technology based on an inflammatory human code set containing 249 inflammatory genes.Results: Two hundred transcripts were reliably detected in conjunctival specimens at various levels ranging from 1 to 222,546 RNA copies. Overall, from the 88 samples, 21 target genes showed a highly significant correlation (R > 0.8) with HLA-DRA and HLA-DRB1, HLA-DRA and B1 presenting the highest correlation (R = 0.9). These selected targets belonged to eight family groups, namely interferon and interferon-stimulated genes, tumor necrosis factor superfamily and related factors, Toll-like receptors and related factors, complement system factors, chemokines/cytokines, the RIPK enzyme family, and transduction signals such as the STAT and MAPK families.Conclusions: We have identified a profile of 21 transcripts correlated with HLA-DR expression, suggesting closely regulated signaling pathways and possible direct or indirect interactions between them. The NanoString® nCounter technology in conjunctival imprints could constitute a reliable tool in the future for wider screening of inflammatory biomarkers in DED, usable in very small samples. Broader combinations of biomarkers associated with HLA-DR could be analyzed to develop new diagnostic approaches, identify tighter pathophysiological gene signatures and personalize DED therapies more efficiently

RefGenes: identification of reliable and condition specific reference genes for RT-qPCR data normalization

Background RT-qPCR is a sensitive and increasingly used method for gene expression quantification. To normalize RT-qPCR measurements between samples, most laboratories use endogenous reference genes as internal controls. There is increasing evidence, however, that the expression of commonly used reference genes can vary significantly in certain contexts. Results Using the Genevestigator database of normalized and well-annotated microarray experiments, we describe the expression stability characteristics of the transciptomes of several organisms. The results show that a) no genes are universally stable, b) most commonly used reference genes yield very high transcript abundances as compared to the entire transcriptome, and c) for each biological context a subset of stable genes exists that has smaller variance than commonly used reference genes or genes that were selected for their stability across all conditions. Conclusion We therefore propose the normalization of RT-qPCR data using reference genes that are specifically chosen for the conditions under study. RefGenes is a community tool developed for that purpose. Validation RT-qPCR experiments across several organisms showed that the candidates proposed by RefGenes generally outperformed commonly used reference genes. RefGenes is available within Genevestigator at http://www.genevestigator.com

Orientation and expression of methicillin-resistant Staphylococcus aureus small RNAs by direct multiplexed measurements using the nCounter of NanoString technology

Staphylococcus aureus is a versatile bacterial opportunist responsible for a wide spectrum of infections. Several genomes of this major human pathogen have been publicly available for almost 10 years, but comprehensive links between virulence or epidemicity and genome content of the bacterium are still missing. This project aims at characterizing a set of small transcribed molecules currently ignored by standard automated annotation algorithms. We assessed the NanoString's nCounter Analysis System for its ability to determine the orientation and quantity of the expressed small RNA (sRNA) molecules that we recently detected with RNA-Sequencing (RNA-Seq). The expression of approximately seventy small RNAs, including sRNA localized in pathogenic islands, was assessed at 5 time points during growth of the bacterium in a rich medium. In addition, two extraction strategies were tested: RNA was either purified on columns or simply prepared from crude lysates in the presence of a chaotropic buffer. The nCounter System allowed us to perform these 64 measurements in a single experiment, without any enzymatic reaction, thus avoiding well-known technical biases. We evaluated the reproducibility and reliability of the nCounter compared to quantitative RT-PCR (RT-qPCR). By using two different designs for the two coding strands, we were able to identify the coding strand of 61 small RNA molecules (95%). Overall, the nCounter System provided an identification of the coding strand in perfect concordance with RNA-Seq data. In addition, expression results were also comparable to those obtained with RT-qPCR. The sensitivity and minimal requirements of the nCounter system open new possibilities in the field of gene expression analysis, for assessing bacterial transcript profiles from complex media (i.e. during host-pathogen interactions) or when starting from poorly purified RNA or even directly from lysed infected tissues

Critical Analysis of Rhinovirus RNA Load Quantification by Real-Time Reverse Transcription-PCR

Rhinoviruses are the most frequent cause of human respiratory infections, and quantitative rhinovirus diagnostic tools are needed for clinical investigations. Although results obtained by real-time reverse-transcription PCR (RT-PCR) assays are frequently converted to viral RNA loads, this presents several limitations regarding accurate virus RNA quantification, particularly given the need to reliably quantify all known rhinovirus genotypes with a single assay. Using an internal extraction control and serial dilutions of an in vitro-transcribed rhinovirus RNA reference standard, we validated a quantitative one-step real-time PCR assay. We then used chimeric rhinovirus genomes with 5′-untranslated regions (5′UTRs) originating from the three rhinovirus species and from one enterovirus to estimate the impact of the 5′UTR diversity. Respiratory specimens from infected patients were then also analyzed. The assay quantification ability ranged from 4.10 to 9.10 log RNA copies/ml, with an estimated error margin of ±10%. This variation was mainly linked to target variability and interassay variability. Taken together, our results indicate that our assay can reliably estimate rhinovirus RNA load, provided that the appropriate error margin is used. In contrast, due to the lack of a universal rhinovirus RNA standard and the variability related to sample collection procedures, accurate absolute rhinovirus RNA quantification in respiratory specimens is currently hardly feasible

Developing Molecular Signatures for Chronic Lymphocytic Leukemia

Chronic lymphocytic leukemia (CLL) is a clonal malignancy of mature B cells that displays a great clinical heterogeneity, with many patients having an indolent disease that will not require intervention for many years, while others present an aggressive and symptomatic leukemia requiring immediate treatment. Although there is no cure for CLL, the disease is treatable and current standard chemotherapy regimens have been shown to prolong survival. Recent advances in our understanding of the biology of CLL have led to the identification of numerous cellular and molecular markers with potential diagnostic, prognostic and therapeutic significance. We have used the recently developed digital multiplexed gene-expression technique (DMGE) to analyze a cohort of 30 CLL patients for the presence of specific genes with known diagnostic and prognostic potential. Starting from a set of 290 genes we were able to develop a molecular signature, based on the analysis of 13 genes, which allows distinguishing CLL from normal peripheral blood and from normal B cells, and a second signature based on 24 genes, which distinguishes mutated from unmutated cases (LymphCLL Mut). A third classifier (LymphCLL Diag), based on a 44-gene signature, distinguished CLL cases from a series of other B-cell chronic lymphoproliferative disorders (n = 51). While the methodology presented here has the potential to provide a "ready to use" classification tool in routine diagnostics and clinical trials, application to larger sample numbers are still needed and should provide further insights about its robustness and utility in clinical practice

Comprehensive human virus screening using high-throughput sequencing with a user-friendly representation of bioinformatics analysis: a pilot study

High-throughput sequencing (HTS) provides the means to analyze clinical specimens in unprecedented molecular detail. While this technology has been successfully applied to virus discovery and other related areas of research, HTS methodology has yet to be exploited for use in a clinical setting for routine diagnostics. Here, a bioinformatics pipeline (ezVIR) was designed to process HTS data from any of the standard platforms and to evaluate the entire spectrum of known human viruses at once, providing results that are easy to interpret and customizable. The pipeline works by identifying the most likely viruses present in the specimen given the sequencing data. Additionally, ezVIR can generate optional reports for strain typing, can create genome coverage histograms, and can perform cross-contamination analysis for specimens prepared in series. In this pilot study, the pipeline was challenged using HTS data from 20 clinical specimens representative of those most often collected and analyzed in daily practice. The specimens (5 cerebrospinal fluid, 7 bronchoalveolar lavage fluid, 5 plasma, 2 serum, and 1 nasopharyngeal aspirate) were originally found to be positive for a diverse range of DNA or RNA viruses by routine molecular diagnostics. The ezVIR pipeline correctly identified 14 of 14 specimens containing viruses with genomes of <40,000 bp, and 4 of 6 specimens positive for large-genome viruses. Although further validation is needed to evaluate sensitivity and to define detection cutoffs, results obtained in this pilot study indicate that the overall detection success rate, coupled with the ease of interpreting the analysis reports, makes it worth considering using HTS for clinical diagnostics