Novel Approaches for Fungal Transcriptomics from Host Samples.

Candida albicans adaptation to the host requires a profound reprogramming of the fungal transcriptome as compared to in vitro laboratory conditions. A detailed knowledge of the C. albicans transcriptome during the infection process is necessary in order to understand which of the fungal genes are important for host adaptation. Such genes could be thought of as potential targets for antifungal therapy. The acquisition of the C. albicans transcriptome is, however, technically challenging due to the low proportion of fungal RNA in host tissues. Two emerging technologies were used recently to circumvent this problem. One consists of the detection of low abundance fungal RNA using capture and reporter gene probes which is followed by emission and quantification of resulting fluorescent signals (nanoString). The other is based first on the capture of fungal RNA by short biotinylated oligonucleotide baits covering the C. albicans ORFome permitting fungal RNA purification. Next, the enriched fungal RNA is amplified and subjected to RNA sequencing (RNA-seq). Here we detail these two transcriptome approaches and discuss their advantages and limitations and future perspectives in microbial transcriptomics from host material.

Genomic and transcriptomic analysis of the streptomycin-dependent Mycobacterium tuberculosis strain 18b.

The ability of Mycobacterium tuberculosis to establish a latent infection (LTBI) in humans confounds the treatment of tuberculosis. Consequently, there is a need to discover new therapeutic agents that can kill M. tuberculosis both during active disease and LTBI. The streptomycin-dependent strain of M. tuberculosis, 18b, provides a useful tool for this purpose since upon removal of streptomycin (STR) it enters a non-replicating state that mimics latency both in vitro and in animal models. The 4.41 Mb genome sequence of M. tuberculosis 18b was determined and this revealed the strain to belong to clade 3 of the ancient ancestral lineage of the Beijing family. STR-dependence was attributable to insertion of a single cytosine in the 530 loop of the 16S rRNA and to a single amino acid insertion in the N-terminal domain of initiation factor 3. RNA-seq was used to understand the genetic programme activated upon STR-withdrawal and hence to gain insight into LTBI. This revealed reconfiguration of gene expression and metabolic pathways showing strong similarities between non-replicating 18b and M. tuberculosis residing within macrophages, and with the core stationary phase and microaerophilic responses. The findings of this investigation confirm the validity of 18b as a model for LTBI, and provide insight into both the evolution of tubercle bacilli and the functioning of the ribosome.

Analyzing the temporal regulation of translation efficiency in mouse liver.

Mammalian physiology and behavior follow daily rhythms that are orchestrated by endogenous timekeepers known as circadian clocks. Rhythms in transcription are considered the main mechanism to engender rhythmic gene expression, but important roles for posttranscriptional mechanisms have recently emerged as well (reviewed in Lim and Allada (2013) [1]). We have recently reported on the use of ribosome profiling (RPF-seq), a method based on the high-throughput sequencing of ribosome protected mRNA fragments, to explore the temporal regulation of translation efficiency (Janich et al., 2015 [2]). Through the comparison of around-the-clock RPF-seq and matching RNA-seq data we were able to identify 150 genes, involved in ribosome biogenesis, iron metabolism and other pathways, whose rhythmicity is generated entirely at the level of protein synthesis. The temporal transcriptome and translatome data sets from this study have been deposited in NCBI's Gene Expression Omnibus under the accession number GSE67305. Here we provide additional information on the experimental setup and on important optimization steps pertaining to the ribosome profiling technique in mouse liver and to data analysis.

"Role of long non-coing RNAs in the stressed heart". Wisper : a novel cardiac fibroblast-enriched IncRNA that modulate fibrosis in the failing heart

LncRNAs are transcripts greater than 200 nucleotides in length with no apparent coding potential. They exert important regulatory functions in the genome. Their role in cardiac fibrosis is however unexplored. To identify IncRNAs that could modulate cardiac fibrosis, we profiled the long non-coding transcriptome in the infarcted mouse heart, and identified 1500 novel IncRNAs. These IncRNAs have unique characteristics such as high tissue and cell type specificity. Their expression is highly correlated with parameters of cardiac dimensions and function. The majority of these novel IncRNAs are conserved in human. Importantly, human IncRNAs appear to be differentially expressed in heart disease. Using a computational pipeline, we identified a super-enhancer-associated IncRNA, which is dynamically expressed after myocardial infarction. We named this particular transcript Wisper for «Wisp2 super-enhancer- derived IncRNA ». Interestingly, Wisper expression is overexpressed in cardiac fibroblasts as compared to cardiomyocytes or to fibroblasts isolated from other organs than the heart. The importance of Wisper in the biology of fibroblasts was demonstrated in knockdown experiments. Differentiation of cardiac fibroblast into myofibroblasts in vitro is significantly impaired upon Wisper knockdown. Wisper downregulation in cardiac fibroblasts results in a dramatic reduction of fibrotic gene expression, a diminished cell proliferation and an increase in apoptotic cell death. In vivo, depletion of Wisper during the acute phase of the response to infarction is detrimental via increasing the risk of cardiac rupture. On the other hand, Wisper knockdown following infarction in a prevention study reduces fibrosis and preserves cardiac function. Since WISPER is detectable in the human heart, where it is associated with severe cardiac fibrosis, these data suggest that Wisper could represent a novel therapeutic target for limiting the extent of the fibrotic response in the heart. -- Les long ARN non-codants (IncRNAs) sont des ARN de plus de 200 nucléotides qui ne codent pas pour des protéines. Ils exercent d'importantes fonctions dans le génome. Par contre, leur importance dans le développement de la fibrose cardiaque n'a pas été étudiée. Pour identifier des IncRNAs jouant un rôle dans ce processus, le transcriptome non-codant a été étudié dans le coeur de'souris après un infarctus du myocarde. Nous avons découverts 1500 nouveaux IncRNAs. Ces transcrits ont d'uniques caractéristiques. En particulier ils sont extrêmement spécifiques de sous-populations de cellules cardiaques. Par ailleurs, leur expression est remarquablement corrélée avec les paramètres définissant les dimensions du coeur et la fonction cardiaque. La majorité de ces IncRNAs sont conservés chez l'humain. Certains sont modulés dans des pathologies cardiaques. En utilisant une approche bioinformatique, nous avons identifié un IncRNA qui est associé à des séquences amplificatrices et qui est particulièrement enrichi dans les fibroblastes cardiaques. Ce transcrit a été nommé Wisper pour «Wisp2 super-enhancer-derived IncRNA ». L'importance de Wisper dans la biologie des fibroblastes cardiaques est démontrée dans des expériences de déplétion. En l'absence de Wisper, l'expression de protéines impliquées dans le développement de la fibrose est dramatiquement réduite dans les fibroblastes cardiaques. Ceux-ci montrent une prolifération réduite. Le niveau d'apoptose est largement augmenté. In vivo, la déplétion de Wisper pendant la phase aiguë de l'infarctus rehausse le risque de rupture cardiaque. Au contraire, la réduction de l'expression de Wisper pendant la phase chronique diminue la fibrose cardiaque et améliore la fonction du coeur. Puisque Wisper est exprimé dans le coeur humain, ce transcrit représente une nouvelle cible thérapeutique pour limiter la réponse fibrotique dans le coeur.