Biology subjects

Takahashi, H.

Publications and source records attributed to Takahashi, H..

At least 91 records · Page 5Linked to original sources

bioRxiv2021

Evolution of the open-access CIViC knowledgebase is driven by the needsof the cancer variant interpretation community

CIViC (Clinical Interpretation of Variants in Cancer; civicdb.org) is a crowd-sourced, public domain knowledgebase composed of literature-derived evidence characterizing the clinical utility of cancer variants. As clinical sequencing becomes more prevalent in cancer management, the need for cancer variant interpretation has grown beyond the capability of any single institution. With nearly 300 contributors, CIViC contains peer-reviewed, published literature curated and expert-moderated into structured data units (Evidence Items) that can be accessed globally and in real time, reducing barriers to clinical variant knowledge sharing. We have extended CIViCs functionality to support emergent variant interpretation guidelines, increase interoperability with other variant resources, and promote widespread dissemination of structured curated data. To support the full breadth of variant interpretation from basic to translational, including integration of somatic and germline variant knowledge and inference of drug response, we have enabled curation of three new evidence types (predisposing, oncogenic and functional). The growing CIViC knowledgebase distributes clinically-relevant cancer variant data currently representing >2500 variants in >400 genes from >2800 publications.

genomics↗

bioRxiv2021

Intimate genetic relationships and fungicide resistance in multiple strains of human pathogenic fungus Aspergillus fumigatus isolated from a plant bulb

Fungal infections are increasingly dangerous because of environmentally-dispersed resistance to antifungal drugs. Azoles are commonly used antifungal drugs, but they are also used as fungicides in agriculture, which may enable enrichment of azole-resistant strains of the human pathogen Aspergillus fumigatus in the environment. Understanding of environmental dissemination and enrichment of genetic variation associated with azole resistance in A. fumigatus is required to suppress resistant strains. Here, we focused on eight strains of azole-resistant A. fumigatus isolated from a single tulip bulb for sale in Japan. This set includes strains with TR34/L98H/T289A/I364V/G448S and TR46/Y121F/T289A/S363P/I364V/G448S mutations in the cyp51A gene, which showed higher tolerance to several azoles than strains harboring TR46/Y121F/T289A mutation. The strains were typed by microsatellite typing, single nucleotide polymorphism profiles, and mitochondrial and nuclear genome analyses. The strains grouped differently using each typing method, suggesting historical genetic recombination among the strains. Our data also revealed that some strains isolated from the tulip bulb showed tolerance to other classes of fungicide, such as QoI and carbendazim, followed by related amino acid alterations in the target proteins. Considering spatial-temporal factors, plant bulbs are an excellent environmental niche for fungal strains to encounter partners, and to obtain and spread resistance-associated mutations.

microbiology↗

bioRxiv2021

Inhibition of immunoglobulin class-switching prevents pemphigus onset in desmoglein 3-specific B cell receptor knock-in mouse

Although immunoglobulin class-switching is essential for humoral immunity, its role in B-cell immune tolerance remains unclear. Pemphigus vulgaris is an autoimmune blistering disease caused by IgG targeting desmoglein 3, an adhesion molecule of keratinocytes. In this study, we generated knock-in mice that express anti-Dsg3 AK23 autoantibodies. Knock-in B cells developed normally in vivo and showed Ca2+ influx upon IgM cross-linking in vitro. The mice predominantly produced circulating AK23 IgM but little IgG antibodies. Although no IgG deposition or blister formation was observed in Dsg3-bearing tissues, Dsg3 immunization forced to induce pemphigus phenotype after class-switching to IgG in vivo. Transcriptomic analysis revealed that FCGR2B and Fc{gamma}RIIB-related genes were downregulated in B cells from peripheral blood of pemphigus patients. Indeed, in AK23 knock-in mice, Fcgr2b deficiency or haploinsufficiency spontaneously led to class-switching, AK23 IgG production, and pemphigus phenotype development. Thus, inhibition of pathogenic class-switching is a crucial tolerogenic process to prevent pemphigus onset, where attenuated Fc{gamma}RIIB signaling is one of the key predispositions to break this tolerogenic state.

immunology↗

bioRxiv2021

Genome-wide identification of Arabidopsis non-AUG-initiated upstream ORFs with evolutionarily conserved regulatory sequences that control protein expression levels

Upstream open reading frames (uORFs) are short ORFs found in the 5'-UTRs of many eukaryotic transcripts and can influence the translation of protein-coding main ORFs (mORFs). Recent genome-wide ribosome profiling studies have revealed that thousands of uORFs initiate translation at non-AUG start codons. However, the physiological significance of these non-AUG uORFs has so far been demonstrated for only a few of them. It is conceivable that physiologically important non-AUG uORFs are evolutionarily conserved across species. In this study, using a combination of bioinformatics and experimental approaches, we searched the Arabidopsis genome for non-AUG-initiated uORFs with conserved sequences that control the expression of the mORF-encoded proteins. As a result, we identified four novel regulatory non-AUG uORFs. Among these, two exerted repressive effects on mORF expression in an amino acid sequence-dependent manner. These two non-AUG uORFs are likely to encode regulatory peptides that cause ribosome stalling, thereby enhancing their repressive effects. In contrast, one of the identified regulatory non-AUG uORFs promoted mORF expression by alleviating the inhibitory effect of a downstream AUG-initiated uORF. These findings provide insights into the mechanisms that enable non-AUG uORFs to play regulatory roles despite their low translation initiation efficiencies.

genomics↗

bioRxiv2021

On-site genomic epidemiological analysis of antimicrobial-resistant bacteria in Cambodia with portable laboratory equipment

The rapid emergence of carbapenemase-producing Gram-negative bacteria (CPGNB) is a global threat due to the high mortality of infection and limited treatment options. Although there have been many reports of CPGNB isolated from Southeast Asian countries, to date there has been no genetic analysis of CPGNB isolated from Cambodia. Sequence-based molecular epidemiological analysis enables a better understanding of the genotypic characteristics and epidemiological significance of antimicrobial-resistant (AMR) bacteria in each country, and allows countries to enact measures related to AMR issues. In this study, we performed on-site genomic epidemiological analysis of CPGNB isolated in Cambodia using a portable laboratory equipment called Bento Lab, which combines a PCR thermal cycler, microcentrifuge, gel electrophoresis apparatus, and LED transilluminator, along with the MinION nanopore sequencer. PCR targeting of major carbapenemase genes using Bento Lab revealed that two Escherichia coli isolates and one Acinetobacter baumannii isolate harbored carbapenemase genes: blaNDM, blaOXA-48, and blaOXA-23, respectively. The results of phenotypic diagnostic tests for CPGNB, such as the carbapenem inactivation method and double-disk diffusion test using a specific inhibitor of metallo-{beta}-lactamases, were consistent with their AMR genotypes. Whole-genome sequencing analysis using MinION suggested that blaNDM-5 and blaOXA-181 genes were carried on plasmids (93.9-kb plasmid with IncFIA, IncFIB, IncFII, and IncQ1 replicons, and 51.5-kb plasmid with the IncX3 replicon, respectively) in E. coli, and that blaOXA-23 was encoded in two locations on the chromosome of A. baumannii. Plasmids carrying blaNDM-5 or blaOXA-181 in E. coli were highly structurally identical to plasmids prevalent in Enterobacterales in China and other countries, suggesting that they disseminated from a common evolutionary origin. Our findings demonstrate the potential impact of portable laboratory equipment on AMR bacteria research in hospitals and research centers with limited research facilities, and provide the first glimpse into the genomic epidemiology of CPGNB in Cambodia.

microbiology↗

bioRxiv2020

Ribosome profiling in Streptococcus pneumoniae reveals the role of methylation of 23S rRNA nucleotide G748 on ribosome stalling.

2.(1) BackgroundMany nucleotides in 23S rRNA are methylated post-transcriptionally by methyltransferases and cluster around the peptidyltransferase center (PTC) and the nascent peptidyl exit tunnel (NPET) located in 50S subunit of 70S ribosome. Biochemical interactions between a nascent peptide and the tunnel may stall ribosome movement and affect expression levels of the protein. However, no studies have shown a role for NPET on ribosome stalling using an NPET mutant. (2) ResultsA ribosome profiling assay in Streptococcus pneumoniae demonstrates for the first time that an NPET mutant exhibits completely different ribosome occupancy compared to wild-type. We demonstrate, using RNA footprinting, that changes in ribosome occupancy correlate with changes in ribosome stalling. Further, statistical analysis shows that short peptide sequences that cause ribosome stalling are species-specific and evolutionarily selected. NPET structure is required to realize these specie-specific ribosome stalling. (3) ConclusionsResults support the role of NPET on ribosome stalling. NPET structure is required to realize the species-specific and evolutionary conserved ribosome stalling. These findings clarify the role of NPET structure on the translation process.

genomics↗

bioRxiv2020

Identification and classification of innexin gene transcripts in the central nervous system of the terrestrial slug Limax valentianus

In invertebrates, innexin is involved in the formation of single-cell membrane channels and intercellular gap junction channels. Generally, there are multiple isoforms of innexin family proteins in various animal species, which enable the precise regulation of channel function. In molluscan species, the sequence information of innexins is still limited and the sequences have not been classified. This study examined the innexin transcripts expressed in the central nervous system of the terrestrial slug Limax valentianus and identified 16 transcripts of 12 innexin isoforms, including the splicing variants. To examine the function of molluscan innexin isoforms, phylogenetic analysis was performed using the innexin sequences of molluscan species. Next, the phosphorylation, N-glycosylation, and S-nitrosylation sites in the isoforms were predicted to characterize the innexin isoforms. Further, 16 circular RNA sequences of nine innexin isoforms were identified in the central nervous system of Limax. The identification and classification of the gene transcripts of molluscan innexins provided novel insights for understanding the regulatory mechanism of innexins in the central nervous system.

molecular biology↗

bioRxiv2020

Three-dimensional convolutional autoencoder extracts features of structural brain images with a diagnostic label-free approach: Application to schizophrenia datasets

There has been increasing interest in performing psychiatric brain imaging studies using deep learning. However, most studies in this field disregard three-dimensional (3D) spatial information and targeted disease discrimination, without considering the genetic and clinical heterogeneity of psychiatric disorders. The purpose of this study was to investigate the efficacy of a 3D convolutional autoencoder (CAE) for extracting features related to psychiatric disorders without diagnostic labels. The network was trained using a Kyoto University dataset including 82 patients with schizophrenia (SZ) and 90 healthy subjects (HS), and was evaluated using Center for Biomedical Research Excellence (COBRE) datasets including 71 SZ patients and 71 HS. The proposed 3D-CAEs were successfully reconstructed into high-resolution 3D structural magnetic resonance imaging (MRI) scans with sufficiently low errors. In addition, the features extracted using 3D-CAE retained the relevant clinical information. We explored the appropriate hyper parameter range of 3D-CAE, and it was suggested that a model with eight convolution layers might be relevant to extract features for predicting the dose of medication and symptom severity in schizophrenia.

neuroscience↗

bioRxiv2020

Critical role of the periplasm in copper homeostasis in Gram-negative bacteria

Copper is essential for life, but is toxic in excess; that is, cells must keep an optimal internal copper concentration. Under aerobic conditions, less toxic Cu(II) taken up by bacterial cells is reduced to more toxic Cu(I) in the cytoplasm. Copper homeostasis is achieved in the cytoplasm and the periplasm as a unique feature of Gram-negative bacteria. The copper efflux pumps, CopA and CusCBA export Cu(I) from the cytoplasm or the periplasm to outside of the cells in Escherichia coli. In addition, the periplasmic proteins, such as a multi-copper oxidase CueO, play a role in the periplasmic detoxification. While the efflux pumps are highly conserved in Gram-negative bacteria, the periplasmic proteins are diversified, indicating that copper homeostasis in the periplasm could contribute to adaptation to various living environments. However, the role of the periplasm and periplasmic proteins in regard to whole-cell copper homeostasis remains unknown. In this study, we addressed the role of the periplasm and periplasmic proteins in copper homeostasis to adapt to various ecological niches. We have used a systems approach, alternating rounds of experiments and models, to further elucidate the dynamics of copper efflux system. We measured the response to copper of the main specific copper export systems in the wild type E. coli strain, and a series of deletion mutant strains. We interpreted these data using a detailed mathematical model and Bayesian model fitting routines, and verified copper homeostasis. Compared with the simulation and the growth in response to copper, we found that the growth was associated with copper abundance in the periplasm. In particular, CueO unique to Gram-negative bacteria contributes both to protection against Cu(I) toxicity and to incorporating copper into the periplasmic components/proteins, resulting in maximizing the growth. These results suggest that Gram-negative bacteria have evolved to utilize the periplasm as a sensor and store for copper, in order to enable Gram-negative bacteria to adapt to a wide range of environmental copper concentrations.

systems biology↗

bioRxiv2020

Low Quantity single strand CAGE (LQ-ssCAGE) maps regulatory enhancers and promoters

The Cap Analysis of Gene Expression (CAGE) is a powerful method to identify the Transcription Start Sites (TSSs) of capped RNAs while simultaneously measuring transcripts expression level. CAGE allows mapping at single nucleotide resolution at all active promoters and enhancers. Large CAGE datasets have been produced over the years from individual laboratories and consortia, including the Encyclopedia of DNA Elements (ENCODE) and Functional Annotation Of the Mammalian Genome (FANTOM). These datasets constitute open resource for TSS annotations and gene expression analysis. Here we provide an experimental protocol for the most recent CAGE method called Low Quantity (LQ) single strand (ss) CAGE "LQ-ssCAGE", which enables cost-effective profiling of low quantity RNA samples. LQ-ssCAGE is especially useful for samples derived from cells cultured in small volumes, cellular compartments such as nuclear RNAs or for samples from developmental stages. We demonstrate the reproducibility and effectiveness of the method by constructing 240 LQ-ssCAGE libraries from 50 ng of THP-1 cell extracted RNAs and discover lowly expressed novel enhancer and promoter-derived lncRNAs.

genomics↗

bioRxiv2020

Identification of novel mutations contributing to azole tolerance of Aspergillus fumigatus through in vitro exposure to tebuconazole

Azole resistance of Aspergillus fumigatus is a global problem. The major resistant mechanism is a cyp51A alteration such as mutation(s) in the gene and the acquisition of a tandem repeat in the promoter. Although other azole tolerances and resistant mechanisms such as hmg1 mutation are known, few reports describe studies elucidating non-cyp51A resistance mechanisms. This study explored genes contributing to azole tolerance in A. fumigatus by in vitro mutant selection with tebuconazole, an azole fungicide. After three-round selection, we obtained four isolates with low susceptibility to tebuconazole. These isolates also showed low susceptibility to itraconazole and voriconazole. Comparison of the genome sequences of the obtained isolates and the parental strain revealed a non-synonymous mutation in MfsD (Afu1g11820, R337L mutation) in all isolates. Furthermore, non-synonymous mutations in AgcA (Afu7g05220, E535Stop mutation), UbcD (Afu3g06030, T98K mutation), AbcJ (Afu3g12220, G297E mutation), and RttA (Afu7g04740, A83T mutation), a protein responsible for tebuconazole tolerance, were found in at least one isolate. Clarification by constructing the MfsD R337L mutant suggests that the mutation contributes to azole tolerance. Disruption of the agcA gene and reconstruction of the A83T point mutation in RttA led to decreased susceptibility to azoles. The reversion of T98K mutation to wild type in UbcD led to the level of azole susceptibility comparable to the parental strain. These results suggest that these mutations contribute to lowered susceptibility to medical azoles and to agricultural azole fungicides.

microbiology↗

bioRxiv2020

Reduced intra- and inter-individual diversity of semantic representations in the brains of schizophrenia patients

Schizophrenia patients often manifest semantic processing deficits. It has been proposed that these deficits stem from disorganized semantic representations in the brain. However, no study has yet examined the neural correlates of semantic disorganization by directly evaluating semantic representations in the brain. We used voxelwise modeling on functional magnetic resonance imaging signals to evaluate the semantic representations associated with several thousand words in individual patient brains. We then compared the structural properties of semantic representations to those in healthy controls. The variability of semantic representations was smaller both within individual patients and across patients compared to controls. Surrogate data analysis suggests that the observed reduction in representational variability is associated with disorganization of categorical information. To our knowledge, these findings provide the first evidence for sematic disorganization in schizophrenia at the level of brain representations.

neuroscience↗

bioRxiv2020

Dopaminergic neurons establish a distinctive axonal arbor with a majority of non-synaptic terminals

Chemical neurotransmission in the brain typically occurs through synapses, which are structurally and functionally defined as sites of close apposition between an axon terminal and a postsynaptic domain. Ultrastructural examinations of axon terminals established by monoamine neurons in the brain often failed to identify a similar tight pre- and postsynaptic coupling, giving rise to the concept of "diffuse" or "volume" transmission. Whether this results from intrinsic properties of such modulatory neurons remains undefined. Using an efficient co-culture model, we find that dopaminergic neurons establish an axonal arbor that is distinctive compared to glutamatergic or GABAergic neurons in both size and propensity of terminals to avoid direct contact with target neurons. Furthermore, while most dopaminergic varicosities express key proteins involved in exocytosis such as synaptotagmin 1, only ~20% of these are synaptic. The active zone protein bassoon was found to be enriched in a subset of dopaminergic terminals that are in proximity to a target cell. Irrespective of their structure, a majority of dopaminergic terminals were found to be active. Finally, we found that the presynaptic protein Nrxn-1SS4- and the postsynaptic protein NL-1AB, two major components involved in excitatory synapse formation, play a critical role in the formation of synapses by dopamine neurons. Taken together, our findings support the idea that dopamine neurons in the brain are endowed with a distinctive developmental program that leads them to adopt a fundamentally different mode of connectivity, compared to glutamatergic and GABAergic neurons involved in fast point-to-point signaling. SIGNIFICANCE STATEMENTMidbrain dopamine (DA) neurons regulate circuits controlling movement, motivation, and learning. The axonal connectivity of DA neurons is intriguing due to its hyperdense nature, with a particularly large number of release sites, most of which not adopting a classical synaptic structure. In this study, we provide new evidence highlighting the unique ability of DA neurons to establish a large and heterogeneous axonal arbor with terminals that, in striking contrast with glutamate and GABA neurons, actively avoid contact with the target cells. The majority of synaptic and non-synaptic terminals express proteins for exocytosis and are active. Finally, our finding suggests that, NL-1A+B and Nrxn-1SS4-, play a critical role in the formation of synapses by DA neurons.

neuroscience↗

bioRxiv2020

Transcriptome signature in E. coli under a prolonged starvation environment

Background"Non-growing" is a dominant life form of microorganisms in nature, where available nutrients and resources are extremely limited. However, the knowledge of the manner in which microorganisms resist nutrient deficiency is still rudimentary compared to those of the growing cells. In laboratory culture, Escherichia coli can survive for several years under starvation, denoted as long-term stationary phase (LSP), where a small fraction of the cells survive by recycling resources released from the starved nonviable cells and constitute a model system for understanding survival mechanisms under long-term starvation. Although the physiology by which viable cells in LSP adapt to long-term starvation is of great interest, their genome-wide response has not yet been fully understood. ResultsTo understand the physiological state of viable cells in the LSP environment, we analyzed the transcriptional profiles of cells exposed to the supernatant of LSP culture. We found that high expression of transporter genes and low expression of biosynthesis genes are the primary responses of the cells in the LSP supernatant compared to growing cells, which display similar responses to cells entering the stationary phase from the exponential growth phase. We also revealed some specific transcriptional responses in the LSP supernatant, such as higher expression of stress-response genes and lower expression of translation-related genes, compared to other non-growing conditions. This suggests that cells in LSP are highly efficient in terms of cellular survival and maintenance functions under starvation conditions. We also found population-density-dependent gene expression profiles in LSP, which are also informative to understand the survival mechanism of bacterial population. ConclusionOur current comprehensive analysis of the transcriptome of E. coli cells provides an overview of the genome-wide response to the long-term starvation environment. We detected both common and distinctive responses in the primary transcriptional changes between the short- and long-term stationary phase cultures, which could provide clues to understand the possible molecular mechanisms underlying survivability in the starved environment.

microbiology↗

bioRxiv2020

Common brain networks between major depressive disorder and symptoms of depression that are validated for independent cohorts

Many studies have highlighted the difficulty inherent to the clinical application of fundamental neuroscience knowledge based on machine learning techniques. It is difficult to generalize machine learning brain markers to the data acquired from independent imaging sites, mainly due to large site differences in functional magnetic resonance imaging. We address the difficulty of finding a generalizable major depressive disorder (MDD) brain network markers which would distinguish patients from healthy controls (a classifier) or would predict symptom severity (a prediction model) based on resting state functional connectivity patterns. For the discovery dataset with 713 participants from 4 imaging sites, we removed site differences using our recently developed harmonization method and developed a machine learning MDD brain network markers. The classifier achieved 70% generalization accuracy, and the prediction model moderately well predicted symptom severity for an independent validation dataset with 449 participants from 4 different imaging sites. Finally, we found common 2 functional connections between those related to MDD diagnosis and those related to depression symptoms. The successful generalization to the perfectly independent dataset acquired from multiple imaging sites is novel and ensures scientific reproducibility and clinical applicability.

neuroscience↗

bioRxiv2020

Comparative genome and transcriptome analyses revealing interspecies variations in the expression of fungal biosynthetic gene clusters

Filamentous fungi produce various bioactive compounds that are biosynthesized by a set of proteins encoded in biosynthetic gene clusters (BGCs). For an unknown reason, large parts of the BGCs are transcriptionally silent under laboratory conditions, which has hampered the discovery of novel fungal compounds. The transcriptional regulation of fungal secondary metabolism is not fully understood from an evolutionary viewpoint. To address this issue, we conducted comparative genomic and transcriptomic analyses using five closely related species of the Aspergillus section Fumigati: Aspergillus fumigatus, Aspergillus lentulus, Aspergillus udagawae, Aspergillus pseudoviridinutans, and Neosartorya fischeri. From their genomes, 298 secondary metabolite (SM) core genes were identified, with 27.4% to 41.5% being unique to a species. Compared with the species-specific genes, a set of section-conserved SM core genes was expressed at a higher rate and greater magnitude, suggesting that their expression tendency is correlated with the BGC distribution pattern. However, the section-conserved BGCs showed diverse expression patterns across the Fumigati species. Thus, not all common BGCs across species appear to be regulated in an identical manner. A consensus motif was sought in the promoter region of each gene in the 15 section-conserved BGCs among the Fumigati species. A conserved motif was detected in only two BGCs including the gli cluster. The comparative transcriptomic and in silico analyses provided insights into how the fungal SM gene cluster diversified at a transcriptional level, in addition to genomic rearrangements and cluster gains and losses. This information increases our understanding of the evolutionary processes associated with fungal secondary metabolism. Author summaryFilamentous fungi provide a wide variety of bioactive compounds that contribute to public health. The ability of filamentous fungi to produce bioactive compounds has been underestimated, and fungal resources can be developed into new drugs. However, most biosynthetic genes encoding bioactive compounds are not expressed under laboratory conditions, which hampers the use of fungi in drug discovery. The mechanisms underlying silent metabolite production are poorly understood. Here, we attempted to show the diversity in fungal transcriptional regulation from an evolutionary viewpoint. To meet this goal, the secondary metabolisms, at genomic and transcriptomic levels, of the most phylogenetically closely related species in Aspergillus section Fumigati were compared. The conserved biosynthetic gene clusters across five Aspergillus species were identified. The expression levels of the well-conserved gene clusters tended to be more active than the species-specific, which were not well-conserved, gene clusters. Despite highly conserved genetic properties across the species, the expression patterns of the well-conserved gene clusters were diverse. These findings suggest an evolutionary diversification at the transcriptional level, in addition to genomic rearrangements and gains and losses, of the biosynthetic gene clusters. This study provides a foundation for understanding fungal secondary metabolism and the potential to produce diverse fungal-based chemicals.

genomics↗

bioRxiv2020

PLZF is a new substrate of CRBN with thalidomide and 5-hydroxythalidomide

Thalidomide induces cereblon (CRBN)-dependent degradation of proteins. Human cytochrome P450s are thought to provide two monohydroxylated metabolites from thalidomide, and the metabolites are also considered to be involved in thalidomide effects. However, it remains unclear. We report that human PLZF/ZBTB16 is a target protein of CRBN with thalidomide and its derivatives, and that 5-hydroxythalidomide has high potential for degrading PLZF. Using a human transcription factor protein array produced by a wheat cell-free protein synthesis system, PLZF was found to bind to CRBN with thalidomide. PLZF is degraded by the CRL4CRBN complex with thalidomide and its derivatives. Mutagenesis analysis revealed that both 1st and 3rd zinc finger domains conserved in vertebrates are recognized for thalidomide-dependent binding and degradation by CRBN. In chicken limbs, knockdown of Plzf induced skeletal abnormalities, and Plzf was degraded after thalidomide or 5-hydroxythalidomide treatment. Our findings suggest that PLZF is a pivotal substrate involving thalidomide-induced teratogenesis.

pharmacology and toxicology↗

bioRxiv2020

Antisense ncRNAs during early vertebrate development are divided in groups with distinct features

Long non-coding RNAs or lncRNAs are a broad class of non-protein coding RNAs that are >200nucleotides in length. A number of lncRNAs are shown to play an important role in gene expression regulation. LncRNAs antisense to a protein-coding gene can act either as positive or negative regulators of overlapping protein-coding mRNAs. Almost 50% of lncRNAs present during development of vertebrates such as zebrafish are of antisense lncRNA class. However, their role in gene expression regulation during development remains enigmatic. To understand the role of antisense lncRNAs in early vertebrate development, we took a computational biology approach to analyze existing as well as novel dataset. Our analysis of RNA sequencing data from zebrafish development indicates that antisense RNAs can be divided into two major classes based on their positive or negative co-expression patterns to the sense protein-coding genes. The ones with negative co-expression patterns or group-1 are maternal antisense lncRNAs that overlap mainly developmental genes. Group-2 with positive expression pattern overlap mainly house-keeping genes. Group-1 antisense lncRNAs are longer and more stable as compared to antisense lncRNAs in group-2. In addition, to answer if antisense RNAs in the two groups are differently localized in cell compartments, we deep-sequenced RNA from cytoplasmic and nuclear compartments during early developmental stages. The analysis of these compartment specific datasets revealed group-1 lncRNAs are cytosolic. Based on the cytosolic nature of group-1 RNAs and their higher complementarity to the overlapping developmental mRNAs, we speculate that the group-1 RNAs might function similar to microRNAs in silencing spurious expression of developmental genes. Group-1 and group-2 RNAs are also distinct in terms of their genomic configuration, conservation, length and transcriptional regulation. These results are not only important in understanding the role of antisense RNAs in development but also for predicting the nature of association between antisense lncRNA and overlapping protein-coding genes.

genomics↗