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Erhard, F.

Publications and source records attributed to Erhard, F..

At least 19 recordsLinked to original sources

Robust ORF Deconvolution from Multiple Ribo-seq Datasets with Group LASSO Penalty

Ribo-seq has provided compelling evidence that there are many translated but unannotated ORFs. Despite a growing body of peptidomic support for cryptic ORFs, the computational discovery of weakly translated, short and mutually overlapping ORFs has remained a major bottleneck. Here we introduce PRICE 2, a method designed to resolve these challenging translation events by adapting concepts from isoform deconvolution. PRICE 2 employs a generative model combined with group LASSO regularized regression to jointly infer active ORFs across multiple sequencing runs. In a comprehensive benchmark, PRICE 2 outperformed thirteen state-of-the-art tools in detecting short and overlapping ORFs. Orthogonal validation via immunopeptidomics demonstrated that ORFs identified by PRICE 2 enable the discovery of [~]40% more cryptic MHC-I peptides than the best-performing competing tool at a fixed false discovery rate. By analyzing public ribo-seq data across 45 distinct cell and tissue types, we constructed ORF-stock, a comprehensive database of non-canonical ORFs for immunopeptidomic studies.

bioinformatics↗

Glycosylated GM-CSF expands B-1b cells and B-1b plasma cells and programs them for immunosuppression

The myeloid growth factor granulocyte-macrophage colony-stimulating factor (GM-CSF) exhibits paradoxical pro- and anti-inflammatory functions, but the factors determining these divergent outcomes remain unclear. Here, we report that this functional divergence is controlled by its glycosylation. Murine recombinant fully glycosylated GM-CSF (rgGM-CSF) specifically induces immunosuppressive cell types, whereas its recombinant non-glycosylated counterpart (rngGM-CSF) promotes effector immune cells. Using single-cell ATAC-sequencing and flow cytometry, we show that rgGM-CSF has a previously unrecognized ability to effectively expand IL-10+ LAG-3+ PD-L1+ B-1b plasma cells (PCs) with immunosuppressive properties and self reactive natural IgM secretion. Although rgGM-CSF also promotes the expansion of hematopoietic stem and progenitor cells (HSPCs) and monocytic myeloid-derived suppressor cells (M-MDSCs), adoptive transfer experiments demonstrate that the rgGM-CSF-induced B-1b PCs are responsible for an IL-10-dependent long-term protection in mice from experimental autoimmune-encephalomyelitis (EAE). Our data suggest that glycosylation enhances the systemic bioavailability and activity of GM-CSF and promotes the expansion of immunoregulatory cells rather than pro-inflammatory myeloid effector cells. Together, these results demonstrate that the dual activity of GM-CSF is controlled by its glycosylation, resulting in opposing immune functions. These findings support a re-evaluation of human rgGM-CSF (regramostim) as a potential therapeutic strategy for immunosuppression in transplantation and autoimmune diseases. Key pointsO_LIGlycosylated GM-CSF promotes B-1b cells and B-1b plasma cells expansion and establishes their long-term imprinting as IL-10+ LAG3+ PD-L1+ natural IgM secreting regulatory cells. C_LIO_LIAlbumin binding enhances the systemic activity of glycosylated GM-CSF in generating regulatory B-1b plasma cells. C_LIO_LIGlycosylated GM-CSF injections into mice expand M-MDSCs, but their suppressive iNOS production is only maintained short-term. C_LIO_LINon-glycosylated GM-CSF injections preferentially promote expansion of pro-inflammatory effector monocytes and neutrophils. C_LI Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=179 HEIGHT=200 SRC="FIGDIR/small/703206v1_ufig1.gif" ALT="Figure 1"> View larger version (54K): org.highwire.dtl.DTLVardef@1814c57org.highwire.dtl.DTLVardef@1bb0e95org.highwire.dtl.DTLVardef@1ba8011org.highwire.dtl.DTLVardef@12df69f_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

Single-cell RNA-seq using UltraMarathonRT expands theknown transcriptome

The ability to map messenger RNA (mRNA) molecules from individual cells using next-generation sequencing technologies, known as single-cell RNA-seq (scRNA-seq), is transforming biology by redefining cellular identities with unmatched detail. However, all current protocols depend on copying RNA into complementary DNA with a single reverse transcriptase (RT) derived from murine leukemia virus, which is an RT enzyme known for low processivity and limited ability to unfold complex RNA structures. Here, for the first time, we introduce a group II intron reverse transcriptase, UltraMarathonRT (uMRT), to perform scRNA-seq. We demonstrate that this enzyme reveals an unexpected transcriptomics landscape by capturing additional genes and other genomic features that conventional RTs miss. We also combined uMRT with metabolic RNA labeling, nucleoside conversion and scRNA-seq to explore genome-wide transcriptome dynamics at the single-cell level. Overall, we establish uMRT as a transformative biotechnological tool for single-cell transcriptomics.

molecular biology↗

tRNA modifications are required for stress granule formation and melanoma metastasis

Metastasis is the leading cause of cancer related deaths, however therapies specifically targeting metastasis are lacking and remain a dire therapeutic need in the clinic. Metastasis is a highly inefficient process that is inhibited by extracellular stress. Therefore, metastasizing cells that ultimately survive and successfully colonize distant organs must undergo molecular rewiring to mitigate stress. Wobble uridine modifications, especially 5-methoxycarbonylmethyl-2-thiouridine (mcm5s2U34), have been implicated in stress response and poor prognosis of cancer patients. We use a patient derived xenograft (PDX) model of melanoma metastasis to study the role of the mcm5s2U34 modification in the stress response of metastasizing cells. We find that upon depletion of elongator acetyltransferase complex subunit 1 (ELP1)-- a component of the mcm5s2U34 pathway on [Formula], and [Formula] --codon-biased translation, migration, invasion, and metastatic burden in vivo is reduced. Further, we observe that stress granule components are enriched in a subset of codon-biased genes that are exclusively upregulated at the protein level in metastatic nodules compared to the primary tumor in our PDX model. Additionally, upon knockdown of ELP1, stress granule components have decreased protein expression with no significant change to their mRNA levels. Efficient translation, mediated by the carboxy-methylation arm of the mcm5s2U34 modification, is required for metastasizing cancer cells to withstand stress via stress granule formation and increase survival throughout the metastatic cascade. This makes the mcm5s2U34 machinery a potentially actionable therapeutic target, specific to metastatic disease.

cancer biology↗

Respiratory syncytial virus load-dependent ciliated cell dedifferentiation and downregulation of immune response genes

Respiratory syncytial virus (RSV) can cause severe lower respiratory tract infections in infants, older adults, and individuals with chronic or immunocompromising conditions. To understand how RSV affects airway cells, we infected primary human airway epithelial cultures with RSV and analyzed infected and bystander cells using time-resolved single-cell RNA sequencing and imaging. RSV mainly infected ciliated cells, triggering a virus load-dependent shutdown of genes involved in ciliogenesis, antigen presentation, and innate sensing, including key interferon (IFN) and pattern recognition pathways. Only a subset of infected cells produced type I and III IFNs, while bystander cells exhibited strong IFN-stimulated gene (ISG) signatures. Neither IFN treatment nor ISG induction eliminated infection, but IRF1, an antiviral transcription factor not suppressed by RSV, remained robustly expressed. Ectopic IRF1 expression in vitro reduced viral replication. These findings reveal how RSV evades antiviral defenses and highlight IRF1 as a potential target for therapeutic intervention.

microbiology↗

Exonuclease ISG20 inhibits human cytomegalovirus replication by inducing an innate immune defense signature

ISG20 is an interferon-regulated protein that exhibits RNase activity thereby inhibiting the replication of a broad spectrum of RNA viruses. By single cell RNA sequencing, we identified ISG20 as an antiviral factor for human cytomegalovirus (HCMV) as it was upregulated in a population of HCMV-resistant cells. In accordance with an antiviral role on herpesviruses, overexpression of ISG20 in primary human fibroblasts led to reduced HCMV and HSV-1 replication, while knockdown of ISG20 enhanced virus growth. In Western blot kinetics, we observed that inhibition of HCMV replication by ISG20 occurs at the early stage of infection which correlated with reduced amounts of viral early and late transcripts. However, neither the half-life of viral and cellular RNAs nor of viral DNA was decreased in ISG20-expressing cells, indicating that ISG20 does not exert its antiviral effect via a degradation of RNAs or DNA. Instead, RNA-seq analysis revealed an innate immune defense signature upon ISG20 expression that comprised the upregulation of a distinct set of interferon stimulated genes (ISGs), zinc finger proteins (ZNFs) and of transposable elements (TEs). Our data indicate that this gene signature augments both IFN production and response of the host cell. Consistently, the JAK-STAT inhibitor ruxolitinib rescued HCMV gene expression in ISG20-expressing cells. We conclude that ISG20 induces a so far unprecedented immune defense signature that serves to amplify the IFN-mediated host cell defense thus explaining its broad antiviral activity.

microbiology↗

Identifying Modulators of Cellular Responses by Heterogeneity-sequencing

The response of individual cells to drug treatment, virus infections or other molecular stimuli is highly heterogeneous and depends on the cells initial state. Library preparation for single-cell transcriptomics is destructive, precluding a direct comparison between the initial state and the stimulus outcome. Consequently, current methods are restricted to identifying correlative associations rather than resolving causal drivers of heterogeneous outcomes. We developed Heterogeneity-seq, which combines single-cell RNA-seq with metabolic RNA labeling (scSLAM-seq) and double machine learning to overcome this limitation. By leveraging simultaneous measurements of unlabeled and labeled RNA in individual cells, Heterogeneity-seq uncovers the transition from pre-stimulated cell states to distinct stimulation outcomes across thousands of cells. These links enable the identification of factors that causally govern heterogeneous cellular responses. We used Heterogeneity-seq to identify both known and novel genes that drive responses to drug treatment, as well as pro- and antiviral host factors governing cytomegalovirus infection.

bioinformatics↗

SILAC-based quantification reveals modulation of the immunopeptidome in BRAF and MEK inhibitor sensitive and resistant tumor cells

The immunopeptidome is constantly monitored by T cells to detect foreign or aberrant HLA peptides. It is highly dynamic and reflects the current cellular state, enabling the immune system to recognize abnormal cellular conditions, such as those present in cancer cells. To precisely determine how changes in cellular processes, such as those induced by drug treatment, affect the immunopeptidome, quantitative immunopeptidomics approaches are essential. To meet this need, we developed a pulsed SILAC-based method for quantitative immunopeptidomics. Metabolic labeling with lysine, arginine, and leucine enabled isotopic labeling of nearly all HLA peptides across all allotypes (> 90% on average). We established a data analysis workflow that integrates the de novo sequencing-based tool Peptide-PRISM for comprehensive HLA peptide identification with MaxQuant for accurate quantification. We employed this strategy to explore the modulation of the immunopeptidome upon MAPK pathway inhibition (MAPKi) and to investigate alterations associated with early cellular responses to inhibitor treatment and acquired resistance to MAPKi. Our analyses demonstrated significant changes in the immunopeptidome early during MAPKi treatment and in the resistant state. Moreover, we identified putative tumor-specific cryptic HLA peptides linked to these processes that might represent exploitable targets for cancer immunotherapy. SynopsisWe have developed a mass spectrometric method that allowed us to investigate the effects of common MAPK inhibitors on the immunopeptidome of melanoma cells. This approach has led to the discovery of new potential targets for cancer immunotherapy.

immunology↗

SLAM-seq reveals independent contributions of RNA processing and stability to gene expression in African trypanosomes

Gene expression is a multi-step process that converts DNA-encoded information into proteins, involving RNA transcription, maturation, degradation, and translation. While transcriptional control is a major regulator of protein levels, the role of post-transcriptional processes such as RNA processing and degradation is less well understood due to the challenge of measuring their contributions individually. To address this challenge, we investigated the control of gene expression in Trypanosoma brucei, a unicellular parasite assumed to lack transcriptional control. Instead, mRNA levels in T. brucei are controlled by post-transcriptional processes, which enabled us to disentangle the contribution of both processes to total mRNA levels. In this study, we developed an efficient metabolic RNA labeling approach and combined ultra-short metabolic labeling with transient transcriptome sequencing (TT-seq) to confirm the long-standing assumption that RNA polymerase II transcription is unregulated in T. brucei. In addition, we established thiol (SH)-linked alkylation for metabolic sequencing of RNA (SLAM-seq) to globally quantify RNA processing rates and half-lives. Our data, combined with scRNA-seq data, indicate that RNA processing and stability independently affect total mRNA levels and contribute to the variability seen between individual cells in African trypanosomes.

molecular biology↗

Single-cell temporal dynamics reveals the relative contributions of transcription and degradation to cell-type specific gene expression in zebrafish embryos

AbstractDuring embryonic development, pluripotent cells assume specialized identities by adopting particular gene expression profiles. However, systematically dissecting the underlying regulation of mRNA transcription and degradation remains a challenge, especially within whole embryos with diverse cellular identities. Here, we collect temporal cellular transcriptomes of zebrafish embryos, and decompose them into their newly-transcribed (zygotic) and pre-existing (maternal) mRNA components by combining single-cell RNA-Seq and metabolic labeling. We introduce kinetic models capable of quantifying regulatory rates of mRNA transcription and degradation within individual cell types during their specification. These reveal different regulatory rates between thousands of genes, and sometimes between cell types, that shape spatio-temporal expression patterns. Transcription drives most cell-type restricted gene expression. However, selective retention of maternal transcripts helps to define the gene expression profiles of germ cells and enveloping layer cells, two of the earliest specified cell-types. Coordination between transcription and degradation restricts expression of maternal-zygotic genes to specific cell types or times, and allows the emergence of spatio-temporal patterns when overall mRNA levels are held relatively constant. Sequence-based analysis links differences in degradation to specific sequence motifs. Our study reveals mRNA transcription and degradation events that control embryonic gene expression, and provides a quantitative approach to study mRNA regulation during a dynamic spatio-temporal response.

genomics↗

Correcting 4sU induced quantification bias in nucleotide conversion RNA-seq data

Nucleoside analogues like 4-thiouridine (4sU) are used to metabolically label newly synthesized RNA. Chemical conversion of 4sU before sequencing induces T-to-C mismatches in reads sequenced from labelled RNA, allowing to obtain total and labelled RNA expression profiles from a single sequencing library. Cytotoxicity due to extended periods of labelling or high 4sU concentrations has been described, but the effects of extensive 4sU labelling on expression estimates from nucleotide conversion RNA-seq have not been studied. Here, we performed nucleotide conversion RNA-seq with escalating doses of 4sU with short-term labelling (1h) and over a progressive time course (up to 2h) in different cell lines. With high concentrations or at later time points, expression estimates were biased in an RNA half-life dependent manner. We show that bias arose by a combination of reduced mappability of reads carrying multiple conversions, and a global, unspecific underrepresentation of labelled RNA due to impaired reverse transcription efficiency and potentially global reduction of RNA synthesis. We developed a computational tool to rescue unmappable reads, which performed favourably compared to previous read mappers, and a statistical method, which could fully remove remaining bias. All methods developed here are freely available as part of our GRAND-SLAM pipeline and grandR package.

bioinformatics↗

The Cytomegalovirus M35 Protein Modulates Transcription of Ifnb1 and Other IRF3-Driven Genes by Direct Promoter Binding

Induction of type I interferon (IFN) gene expression is among the first lines of cellular defence a virus encounters during primary infection. We previously identified the tegument protein M35 of murine cytomegalovirus (MCMV) as an essential antagonist of this antiviral system. M35 localizes to the nucleus and interferes with type I IFN induction downstream of pattern-recognition receptor (PRR) activation. Here, we report structural and mechanistic details of M35s function. Using electrophoretic mobility shift assays (EMSA), we demonstrate that purified M35 protein specifically binds to the regulatory DNA element that governs transcription of the first type I IFN gene induced in non-immune cells, Ifnb1. Determination of M35s crystal structure combined with reverse genetics revealed that homodimerisation is a key feature for M35s immunomodulatory activity. DNA-binding sites of M35 overlapped with the recognition elements of interferon regulatory factor 3 (IRF3), a key transcription factor activated by PRR signalling. Chromatin immunoprecipitation (ChIP) showed reduced binding of IRF3 to the host Ifnb1 promoter in the presence of M35. We furthermore defined the IRF3-dependent and the type I IFN signalling-responsive genes in murine fibroblasts by RNA sequencing of metabolically labelled transcripts (SLAM-seq), and assessed M35s global effect on gene expression. Stable expression of M35 broadly influenced the transcriptome in untreated cells and specifically down-regulated basal expression of IRF3-dependent genes, and during MCMV infection, M35 impaired expression of IRF3-responsive genes aside of Ifnb1. Our results suggest that M35-DNA binding directly antagonises gene induction by IRF3 and impairs the antiviral response more broadly than formerly recognised. ImportanceReplication of the ubiquitous human cytomegalovirus (CMV) in healthy individuals mostly goes unnoticed, but can impair foetal development or cause life-threatening symptoms in immunosuppressed or -deficient patients. Like other herpesviruses, CMV extensively manipulates its hosts and establishes lifelong latent infections. Murine CMV (MCMV) presents an important model system as it allows the study of CMV infection in the host organism. We previously showed that during entry, MCMV virions release the evolutionary conserved protein M35 protein to immediately dampen the antiviral type I interferon (IFN) response induced by pathogen detection. Here we show that M35 dimers bind to regulatory DNA elements and interfere with recruitment of interferon regulatory factor 3 (IRF3), a key factor for antiviral gene expression. Thereby, M35 interferes with expression of type I IFNs and other IRF3-dependent genes. Unrelated proteins from other herpesviruses employ the same mechanism, reflecting the importance for herpesviruses to avoid IRF3-mediated gene induction.

molecular biology↗

Multimodal HLA-I genotype regulation by human cytomegalovirus US10 and resulting surface patterning

To control human cytomegalovirus (HCMV) infection, NK cells and CD8+ T-cells are crucial. HLA class I (HLA-I) molecules play a central role for both NK and T-cell responses and are targets of multifaceted HCMV-encoded immunoevasins. A so far insufficiently studied HLA-I immunoevasin is the glycoprotein US10. It was shown that US10 targets HLA-G, but it is unknown whether US10 contributes also to escape from classical HLA-I antigen presentation. Our biochemical analysis revealed that early during maturation, all investigated HLA-I (HLA-A/B/C/E/G) heavy chains are recognized and bound by US10. Remarkably, the consequences of this initial binding strongly depended on both the HLA-I geno- and allotypes: i) HLA-A molecules escaped down-regulation by US10, ii) tapasin-dependent HLA-B molecules exhibited impaired recruitment to the peptide loading complex and maturation, iii) HLA-C and HLA-G, but not HLA-A/B/E, strongly bound US10 also in their {beta}2m-assembled form. Thus, US10 senses geno- and allotypic differences in a so far unparalleled and multimodal manner, suggestive of adaptation to HLA-I genotype differences. At a further level of complexity, in HCMV-infected fibroblasts inhibition of overlapping US10 and US11 transcription revealed an additional HLA-I specificity, suggesting targeting of HLA-I in a synergistically arranged manner. Our study unveils the exceptional HLA-I selectivity of HCMV-encoded US10 and underlines its contribution to immune escape.

microbiology↗

Decoding murine cytomegalovirus

The genomes of both human cytomegalovirus (HCMV) and murine cytomegalovirus (MCMV) were first sequenced over 20 years ago. Similar to HCMV, the MCMV genome had initially been proposed to harbor {approx}170 open reading frames (ORFs). More recently, omics approaches revealed HCMV gene expression to be substantially more complex comprising several hundreds of translated ORFs. Here, we provide a state-of-the art reannotation of lytic MCMV gene expression based on integrative analysis of a large set of omics data. Our data reveal 363 viral transcription start sites (TiSS) that give rise to 380 and 454 viral transcripts and ORFs, respectively. The latter include >200 small ORFs, some of which represented the most highly expressed viral gene products. By combining TiSS profiling with metabolic RNA labelling and chemical nucleotide conversion sequencing (dSLAM-seq), we provide a detailed picture of the expression kinetics of viral transcription. This not only resulted in the identification of a novel MCMV immediate early transcript encoding the m166.5 ORF, which we termed ie4, but also revealed a group of well-expressed viral transcripts that are induced later than canonical true late genes and contain an initiator element (Inr) but no TATA- or TATT-box in their core promoters. We show that viral uORFs tune gene expression of longer viral ORFs expressed in cis at translational level. Finally, we identify a truncated isoform of the viral NK-cell immune evasin m145 arising from a viral TiSS downstream of the canonical m145 mRNA. Despite being {approx}5-fold more abundantly expressed than the canonical m145 protein it was not required for downregulating the NK cell ligand, MULT-I. In summary, our work will pave the way for future mechanistic studies on previously unknown cytomegalovirus gene products in an important virus animal model. Author summaryWe conducted a comprehensive characterization and reannotation of murine cytomegalovirus (MCMV) gene expression during lytic infection in murine fibroblasts using an integrative multi-omics approach. This unveiled hundreds of novel transcripts that explained the expression of close to 300 so far unknown viral open reading frames (ORFs). Interestingly, small viral ORFs (sORFs) were amongst the most highly expressed viral gene products and thus presumably encode for important viral microproteins of unknown function. However, we also show that sORFs located upstream of larger ORFs tune the expression of the downstream ORFs at the level of translation. We classified viral transcription start sites (TiSS) based on their expression kinetics obtained by a new combination of metabolic RNA labelling with transcription start sites profiling. This not only identified a so far unknown viral immediate-early transcript (ie4, m166.5 RNA) but also revealed a novel class of viral late transcripts that are expressed later than canonical true late genes and lack TATA box-like motifs. We exemplify for the m145 locus how so far unknown TiSS give rise to abundantly expressed truncated viral proteins. In summary, we provide a state-of-the-art annotation of an important model virus, which will be instrumental for future studies on CMV biology, immunology and pathogenesis.

microbiology↗

Immunogenicity of non-canonical HLA-tumor ligands identified through proteogenomics

Tumor antigens are central to antitumor immunity. Recent evidence suggests that peptides from non-canonical (nonC) aberrantly translated proteins can be presented on HLA-I by tumor cells. Here, we investigated the immunogenicity of nonC tumor HLA-I ligands (nonC-TL) to better understand their contribution to cancer immunosurveillance and their therapeutic applicability. Using proteogenomics, we identified 517 nonC-TL from 9 patients with melanoma, gynecological, and head and neck cancer. We found no recognition of the 507 nonC-TL tested by autologous ex vivo expanded tumor reactive T-cell cultures while the same cultures demonstrated reactivity to mutated, cancer-germline, or melanocyte differentiation antigens. However, in vitro sensitization of donor peripheral blood lymphocytes against 170 selected nonC-TL, led to the identification of T-cell receptors (TCRs) specific to three nonC-TL, two of which mapped to the 5 UTR regions of HOXC13 and ZKSCAN1, and one mapping to a non-coding spliced variant of C5orf22C. T cells targeting these nonC-TL recognized cancer cell lines naturally presenting their corresponding antigens. Expression of the three immunogenic nonC-TL was shared across tumor types and barely or not detected in normal cells. Our findings predict a limited contribution of nonC-TL to cancer immunosurveillance but demonstrate they may be attractive novel targets for widely applicable immunotherapies.

cancer biology↗

HSV-1 infection induces a downstream shift of promoter-proximal pausing linked to H2A.Z-containing +1 nucleosomes

Herpes simplex virus 1 (HSV-1) infection exerts a profound shut-off of host gene expression at multiple levels. Recently, HSV-1 infection was reported to also impact promoter-proximal RNA Polymerase II (Pol II) pausing, a key step in the eukaryotic transcription cycle, with decreased and increased Pol II pausing observed for activated and repressed genes, respectively. Here, we demonstrate that HSV-1 infection induces more complex alterations in promoter-proximal pausing than previously suspected for the vast majority of cellular genes. While pausing is generally retained, it is shifted to more downstream and less well-positioned sites for most host genes. We exclude that this is an artefact of alternative de novo transcription initiation at downstream sites or read-in transcription originating from disruption of transcription termination for upstream genes. Use of downstream 2nd pause sites associated with +1 nucleosomes was previously observed upon NELF depletion. However, downstream shifts of Pol II pausing upon HSV-1 infection are much more pronounced than observed upon NELF depletion. Thus, our study reveals a novel aspect in which HSV-1 infection fundamentally reshapes host transcriptional processes with implications for our understanding of maintenance of promoter-proximal Pol II pausing in eukaryotic cells.

molecular biology↗

grandR: a comprehensive package for nucleotide conversion sequencing data analysis

Metabolic labeling of RNA is a powerful technique for studying the temporal dynamics of gene expression. Nucleotide conversion approaches greatly facilitate the generation of data but introduce challenges for their analysis. We here present grandR, a comprehensive package for quality control, differential gene expression analysis, kinetic modeling, and visualization of such data. We compare several existing methods for inference of RNA synthesis rates and half-lives using progressive labeling time courses. We demonstrate the need for recalibration of effective labeling times and introduce a Bayesian approach to study the temporal dynamics of RNA using snapshot experiments.

bioinformatics↗

U1 snRNP-dependent suppression of miRNA biogenesis by alternative intronic polyadenylation in melanoma

Activation of intronic polyadenylation signals results in premature cleavage and polyadenylation (PCPA). The majority of mammalian miRNAs are also located within intronic regions of protein-coding genes and are transcriptionally co-expressed with their host genes. Here we show that U1-dependent PCPA by telescripting dysregulates miRNA biogenesis. When U1 is reduced, miR-211 levels are decreased as a direct consequence of activation of a newly identified alternative intronic polyadenylation signal located upstream of miR-211 within its host gene TRPM1. Various melanoma cell lines revealed decreased U1 levels and a shift from full-length to truncated TRPM1 isoforms with concomitant decreased miR-211 expression. Modulation of TRPM1 alternative polyadenylation (APA) by morpholino oligonucleotides inhibits and potentially restores miR-211 expression to endogenous levels. This mechanism of intronic PCPA and its effects on miRNA biogenesis represents a previously unrecognized layer of gene expression regulation suitable for therapeutic modulation. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=88 SRC="FIGDIR/small/479622v1_ufig1.gif" ALT="Figure 1"> View larger version (29K): org.highwire.dtl.DTLVardef@169c2f1org.highwire.dtl.DTLVardef@7d8f34org.highwire.dtl.DTLVardef@144b9d8org.highwire.dtl.DTLVardef@10523f1_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗