Marek Zywicki

Identification of novel non‐coding RNAs as potential antisense regulators in the archaeon Sulfolobus solfataricus

By generating a specialized cDNA library from the archaeon Sulfolobus solfataricus, we have identified 57 novel small non‐coding RNA (ncRNA) candidates and confirmed their expression by Northern blot analysis. The majority was found to belong to one of two classes, either antisense or antisense‐box RNAs, where the latter only exhibit partial complementarity to RNA targets. The most prominent group of antisense RNAs is transcribed in the opposite orientation to the transposase genes, encoded by insertion elements (transposons). Thus, these antisense RNAs may regulate transposition of insertion elements by inhibiting expression of the transposase mRNA. Surprisingly, the class of antisense RNAs also contained RNAs complementary to tRNAs or sRNAs (small‐nucleolar‐like RNAs). For the antisense‐box ncRNAs, the majority could be assigned to the class of C/D sRNAs, which specify 2′‐O‐methylation sites on rRNAs or tRNAs. Five C/D sRNAs of this group are predicted to target methylation at six sites in 13 different tRNAs, thus pointing to the widespread role of these sRNA species in tRNA modification in Archaea. Another group of antisense‐box RNAs, lacking typical C/D sRNA motifs, was predicted to target the 3′‐untranslated regions of certain mRNAs. Furthermore, one of the ncRNAs that does not show antisense elements is transcribed from a repeat unit of a cluster of small regularly spaced repeats in S. solfataricus which is potentially involved in replicon partitioning. In conclusion, this is the first report of stably expressed antisense RNAs in an archaeal species and it raises the prospect that antisense‐based mechanisms are also used widely in Archaea to regulate gene expression.

tRNA-Derived Fragments Target the Ribosome and Function as Regulatory Non-Coding RNA in Haloferax volcanii

Nonprotein coding RNA (ncRNA) molecules have been recognized recently as major contributors to regulatory networks in controlling gene expression in a highly efficient manner. These RNAs either originate from their individual transcription units or are processing products from longer precursor RNAs. For example, tRNA-derived fragments (tRFs) have been identified in all domains of life and represent a growing, yet functionally poorly understood, class of ncRNA candidates. Here we present evidence that tRFs from the halophilic archaeon Haloferax volcanii directly bind to ribosomes. In the presented genomic screen of the ribosome-associated RNome, a 26-residue-long fragment originating from the 5′ part of valine tRNA was by far the most abundant tRF. The Val-tRF is processed in a stress-dependent manner and was found to primarily target the small ribosomal subunit in vitro and in vivo. As a consequence of ribosome binding, Val-tRF reduces protein synthesis by interfering with peptidyl transferase activity. Therefore this tRF functions as ribosome-bound small ncRNA capable of regulating gene expression in H. volcanii under environmental stress conditions probably by fine tuning the rate of protein production.

An mRNA-Derived Noncoding RNA Targets and Regulates the Ribosome

Summary The structural and functional repertoire of small non-protein-coding RNAs (ncRNAs) is central for establishing gene regulation networks in cells and organisms. Here, we show that an mRNA-derived 18-nucleotide-long ncRNA is capable of downregulating translation in Saccharomyces cerevisiae by targeting the ribosome. This 18-mer ncRNA binds to polysomes upon salt stress and is crucial for efficient growth under hyperosmotic conditions. Although the 18-mer RNA originates from the TRM10 locus, which encodes a tRNA methyltransferase, genetic analyses revealed the 18-mer RNA nucleotide sequence, rather than the mRNA-encoded enzyme, as the translation regulator. Our data reveal the ribosome as a target for a small regulatory ncRNA and demonstrate the existence of a yet unkown mechanism of translation regulation. Ribosome-targeted small ncRNAs are found in all domains of life and represent a prevalent but so far largely unexplored class of regulatory molecules.

Revealing stable processing products from ribosome-associated small RNAs by deep-sequencing data analysis

The exploration of the non-protein-coding RNA (ncRNA) transcriptome is currently focused on profiling of microRNA expression and detection of novel ncRNA transcription units. However, recent studies suggest that RNA processing can be a multi-layer process leading to the generation of ncRNAs of diverse functions from a single primary transcript. Up to date no methodology has been presented to distinguish stable functional RNA species from rapidly degraded side products of nucleases. Thus the correct assessment of widespread RNA processing events is one of the major obstacles in transcriptome research. Here, we present a novel automated computational pipeline, named APART, providing a complete workflow for the reliable detection of RNA processing products from next-generation-sequencing data. The major features include efficient handling of non-unique reads, detection of novel stable ncRNA transcripts and processing products and annotation of known transcripts based on multiple sources of information. To disclose the potential of APART, we have analyzed a cDNA library derived from small ribosome-associated RNAs in Saccharomyces cerevisiae. By employing the APART pipeline, we were able to detect and confirm by independent experimental methods multiple novel stable RNA molecules differentially processed from well known ncRNAs, like rRNAs, tRNAs or snoRNAs, in a stress-dependent manner.

RNPomics: Defining the ncRNA transcriptome by cDNA library generation from ribonucleo-protein particles

Up to 450 000 non-coding RNAs (ncRNAs) have been predicted to be transcribed from the human genome. However, it still has to be elucidated which of these transcripts represent functional ncRNAs. Since all functional ncRNAs in Eukarya form ribonucleo-protein particles (RNPs), we generated specialized cDNA libraries from size-fractionated RNPs and validated the presence of selected ncRNAs within RNPs by glycerol gradient centrifugation. As a proof of concept, we applied the RNP method to human Hela cells or total mouse brain, and subjected cDNA libraries, generated from the two model systems, to deep-sequencing. Bioinformatical analysis of cDNA sequences revealed several hundred ncRNP candidates. Thereby, ncRNAs candidates were mainly located in intergenic as well as intronic regions of the genome, with a significant overrepresentation of intron-derived ncRNA sequences. Additionally, a number of ncRNAs mapped to repetitive sequences. Thus, our RNP approach provides an efficient way to identify new functional small ncRNA candidates, involved in RNP formation.

Identification of differentially expressed non-coding RNAs in embryonic stem cell neural differentiation

Protein-coding genes, guiding differentiation of ES cells into neural cells, have extensively been studied in the past. However, for the class of ncRNAs only the involvement of some specific microRNAs (miRNAs) has been described. Thus, to characterize the entire small non-coding RNA (ncRNA) transcriptome, involved in the differentiation of mouse ES cells into neural cells, we have generated three specialized ribonucleo-protein particle (RNP)-derived cDNA libraries, i.e. from pluripotent ES cells, neural progenitors and differentiated neural cells, respectively. By high-throughput sequencing and transcriptional profiling we identified several novel miRNAs to be involved in ES cell differentiation, as well as seven small nucleolar RNAs. In addition, expression of 7SL, 7SK and vault-2 RNAs was significantly up-regulated during ES cell differentiation. About half of ncRNA sequences from the three cDNA libraries mapped to intergenic or intragenic regions, designated as interRNAs and intraRNAs, respectively. Thereby, novel ncRNA candidates exhibited a predominant size of 18–30 nt, thus resembling miRNA species, but, with few exceptions, lacking canonical miRNA features. Additionally, these novel intraRNAs and interRNAs were not only found to be differentially expressed in stem-cell derivatives, but also in primary cultures of hippocampal neurons and astrocytes, strengthening their potential function in neural ES cell differentiation.

The role of the universally conserved A2450–C2063 base pair in the ribosomal peptidyl transferase center

Despite the fact that all 23S rRNA nucleotides that build the ribosomal peptidyl transferase ribozyme are universally conserved, standard and atomic mutagenesis studies revealed the nucleobase identities being non-critical for catalysis. This indicates that these active site residues are highly conserved for functions distinct from catalysis. To gain insight into potential contributions, we have manipulated the nucleobases via an atomic mutagenesis approach and have utilized these chemically engineered ribosomes for in vitro translation reactions. We show that most of the active site nucleobases could be removed without significant effects on polypeptide production. Our data however highlight the functional importance of the universally conserved non-Watson-Crick base pair at position A2450–C2063. Modifications that disrupt this base pair markedly impair translation activities, while having little effects on peptide bond formation, tRNA drop-off and ribosome-dependent EF-G GTPase activity. Thus it seems that disruption of the A2450–C2063 pair inhibits a reaction following transpeptidation and EF-G action during the elongation cycle. Cumulatively our data are compatible with the hypothesis that the integrity of this A-C wobble base pair is essential for effective tRNA translocation through the peptidyl transferase center during protein synthesis.

Expression Profiling of a Heterogeneous Population of ncRNAs Employing a Mixed DNA/LNA Microarray

Mammalian transcriptomes mainly consist of non protein coding RNAs. These ncRNAs play various roles in all cells and are involved in multiple regulation pathways. More recently, ncRNAs have also been described as valuable diagnostic tools. While RNA-seq approaches progressively replace microarray-based technologies for high-throughput expression profiling, they are still not routinely used in diagnostic. Microarrays, on the other hand, are more widely used for diagnostic profiling, especially for very small ncRNA (e.g., miRNAs), employing locked nucleic acid (LNA) arrays. However, LNA microarrays are quite expensive for high-throughput studies targeting longer ncRNAs, while DNA arrays do not provide satisfying results for the analysis of small RNAs. Here, we describe a mixed DNA/LNA microarray platform, where directly labeled small and longer ncRNAs are hybridized on LNA probes or custom DNA probes, respectively, enabling sensitive and specific analysis of a complex RNA population on a unique array in one single experiment. The DNA/LNA system, requiring relatively low amounts of total RNA, which complies with diagnostic references, was successfully applied to the analysis of differential ncRNA expression in mouse embryonic stem cells and adult brain cells.

Expression Profiling of ncRNAs Employing RNP Libraries and Custom LNA/DNA Microarray Analysis

Recently, it has been shown by the ENCODE consortium that more than 90% of the human genome might be transcribed. While only about 1.5% of these transcripts correspond to mRNAs, it was proposed that the majority of them (i.e., 88.5%) might correspond to regulatory noncoding RNAs (ncRNAs). Numerous protocols dedicated to the generation of cDNA libraries coupled to next-generation sequencing (NGS) technologies are currently available to identify novel ncRNA species, and we have recently developed a novel procedure for the generation of ribonucleoprotein (RNP) libraries. To validate differential expression of ncRNAs identified using our or any library generation approach, we describe an innovative ncRNA profiling approach based on microarray technology. Employing LNA probes, dedicated to the analysis of small/microRNAs, and DNA probes, dedicated to the study of longer ncRNAs, our platform enables the study of most ncRNAs independently of their length in a single experiment. Detailed methodological solution description includes the automated design of probes to be spotted on the array, optimization of spotting and labeling of probes, as well as hybridization conditions. All the steps have been improved for the analysis of ncRNAs, which are generally difficult to study owing to their peculiarities in terms of secondary structure or abundance.

FUS controls the processing of snoRNAs into smaller RNA fragments that can regulate gene expression

FUS is a multifunctional protein involved in many pathways of RNA metabolism in human cells, including transcription, splicing, miRNA processing and replication-dependent histone gene expression. In this paper, we show for the first time that in human cells FUS can mediate the biogenesis of sdRNA, snoRNA-derived RNAs, that can be further involved in the regulation of gene expression. Using RNA immunoprecipitation followed by high throughput sequencing we identified snoRNAs in FUS-immunoprecipitated fraction. The interaction of FUS with a snoRNA fragment was further confirmed by EMSA and double filter binding assay. We observed that FUS negatively influences the level of selected mature snoRNAs in cells. Scanning of available human small RNAs databases revealed the existence of sdRNAs with the length of 19-33 nucleotides, that can be derived from FUS-dependent snoRNAs. Further in silico approach enabled us to predict putative targets for these sdRNAs. Our preliminary results indicate that sdRNAs may bind to the untranslated region of target mRNAs and influence their posttranscriptional stability or translation. Moreover, we identified a sdRNA that can interact with noncoding transcript and destabilize it, which in turn, might stabilize the level of mRNA transcribed from the same genomic region.