Development of LNA gapmers, antisense oligonucleotides used for efficient inhibition of target RNA expression, is limited by non-target mediated hepatotoxicity issues. In the present study, we investigated hepatic transcription profiles of mice receiving non-toxic and toxic LNA gapmers after a single and repeat administration.
Comparison of hepatic transcription profiles of locked ribonucleic acid antisense oligonucleotides: evidence of distinct pathways contributing to non-target mediated toxicity in mice.
Sex, Specimen part
View SamplesSingle-cell RNA sequencing (scRNA-seq) offers new possibilities to address biological and medical questions. However, systematic comparisons of the performance of diverse scRNA-seq protocols are lacking. We generated data from 583 mouse embryonic stem cells to evaluate six prominent scRNA-seq methods: CEL-seq2, Drop-seq, MARS-seq, SCRB-seq, Smart-seq and Smart-seq2. While Smart-seq2 detected the most genes per cell and across cells, CEL-seq2, Drop-seq, MARS-seq and SCRB-seq quantified mRNA levels with less amplification noise due to the use of unique molecular identifiers (UMIs). Power simulations at different sequencing depths showed that Drop-seq is more cost-efficient for transcriptome quantification of large numbers of cells, while MARS-seq, SCRB-seq and Smart-seq2 are more efficient when analyzing fewer cells. Our quantitative comparison offers the basis for an informed choice among six prominent scRNA-seq methods and provides a framework for benchmarking further improvements of scRNA-seq protocols. Overall design: J1 mESC in two replicates per library preparation method.
A systematic evaluation of single cell RNA-seq analysis pipelines.
Cell line, Subject
View SamplesBackground Single-cell RNA-sequencing (scRNA-seq) experiments typically analyze hundreds or thousands of cells after amplification of the cDNA. The high throughput is made possible by the early introduction of sample-specific bar codes (BCs), and the amplification bias is alleviated by unique molecular identifiers (UMIs). Thus, the ideal analysis pipeline for scRNA-seq data needs to efficiently tabulate reads according to both BC and UMI. Findings zUMIs is a pipeline that can handle both known and random BCs and also efficiently collapse UMIs, either just for exon mapping reads or for both exon and intron mapping reads. If BC annotation is missing, zUMIs can accurately detect intact cells from the distribution of sequencing reads. Another unique feature of zUMIs is the adaptive downsampling function that facilitates dealing with hugely varying library sizes but also allows the user to evaluate whether the library has been sequenced to saturation. To illustrate the utility of zUMIs, we analyzed a single-nucleus RNA-seq dataset and show that more than 35% of all reads map to introns. Also, we show that these intronic reads are informative about expression levels, significantly increasing the number of detected genes and improving the cluster resolution. Conclusions zUMIs flexibility makes if possible to accommodate data generated with any of the major scRNA-seq protocols that use BCs and UMIs and is the most feature-rich, fast, and user-friendly pipeline to process such scRNA-seq data. Overall design: HEK293T cells were sequenced using the mcSCRB-seq protocol (Bagnoli et al., 2017)
zUMIs - A fast and flexible pipeline to process RNA sequencing data with UMIs.
Cell line, Subject
View SamplesMany library preparation methods are available for gene expression quantification. Here, we sequenced and analysed Universal Human Reference RNA (UHRR) prepared using Smart-Seq2, TruSeq (public data) and a protocol using unique molecular identifiers (UMIs) that all include the ERCC spike-in mRNAs to investigate the effects of amplification bias on expression quantification. Overall design: UHRR 10 and 12 replicates for Smart-seq2 and UMI-seq library preparation methods, respectively.
The impact of amplification on differential expression analyses by RNA-seq.
No sample metadata fields
View SamplesMicroarray technologies allow the identification of large numbers of expression differences within and between species. Although environmental and physiological stimuli are clearly responsible for changes in the expression levels of many genes, it is not known whether the majority of changes of gene expression fixed during evolution between species and between various tissues within a species are caused by Darwinian selection or by stochastic processes. We find the following: (1) expression differences between species accumulate approximately linearly with time; (2) gene expression variation among individuals within a species correlates positively with expression divergence between species; (3) rates of expression divergence between species do not differ significantly between intact genes and expressed pseudogenes; (4) expression differences between brain regions within a species have accumulated approximately linearly with time since these regions emerged during evolution. These results suggest that the majority of expression differences observed between species are selectively neutral or nearly neutral and likely to be of little or no functional significance. Therefore, the identification of gene expression differences between species fixed by selection should be based on null hypotheses assuming functional neutrality. Furthermore, it may be possible to apply a molecular clock based on expression differences to infer the evolutionary history of tissues.
A neutral model of transcriptome evolution.
Sex, Age, Specimen part, Disease, Disease stage
View SamplesThe interaction between cancer and stroma plays a key role in tumor progression. Inactivation of p53 is often observed in stromal cells surrounding in cancer, suggesting that p53 in fibroblasts is involved in tumor progression.
TSPAN12 is a critical factor for cancer-fibroblast cell contact-mediated cancer invasion.
Sex, Specimen part, Cell line
View SamplesThe rapid transit from hypoxia to normoxia in the lung that follows the first breath in newborn mice coincides with alveolar macrophage (AM) differentiation. However, whether sensing of oxygen affects AM maturation and function has not been previously explored. We have generated mice whose AMs show a deficient ability to sense oxygen after birth by deleting Vhl, a negative regulator of HIF transcription factors, in the CD11c compartment (CD11c?Vhl mice). VHL-deficient AMs show an immature-like phenotype and an impaired self-renewal capacity in vivo that persists upon culture ex vivo. VHL-deficient phenotype is intrinsic in AMs derived from monocyte precursors in mixed bone marrow chimeras. Moreover, unlike control Vhlfl/fl, AMs from CD11c?Vhl mice do not revert pulmonary alveolar proteinosis when transplanted into Csf2rb-/- mice, demonstrating that VHL contributes to AM-mediated surfactant clearance. Thus, our results suggest that optimal AM terminal differentiation, self-renewal, and homeostatic function requires their oxygen sensing capacity. Overall design: BAL AMs were pooled from 5-7 age and sex-matched mice per genotype and further purified by positive selection with anti-CD11c-microbeads (Miltenyi Biotec), following manufacturer's instructions. Cell lysis was performed with buffer RLT (Qiagen), containing 10µ/ml ß-mercaptoethanol and RNA was isolated with RNeasy Plus Mini Kit (Qiagen). RNA concentration and integrity were determined with an Agilent 2100 Bioanalyzer (Caliper Life Science). Samples with RNA integrity values > 8 were further processed. A total of 3 pools per genotype were used for RNA Seq.
Von Hippel-Lindau Protein Is Required for Optimal Alveolar Macrophage Terminal Differentiation, Self-Renewal, and Function.
Treatment, Subject
View SamplesMutations in the gene encoding the transcription factor AutoImmune REgulator (AIRE) are responsible for the Autoimmune PolyEndocrinopathy Candidiasis Ecodermal Dystrophy syndrome. AIRE directs expression of tissue restricted antigens in the thymic medulla and in lymph node stromal cells and thereby substantially contributes to induction of immunological tolerance to self-antigens. Data from experimental mouse models showed that AIRE-deficiency leads to impaired deletion of autospecific T cell precursors. However, a potential role for AIRE in the function of regulatory T cell populations, which are known to play a central role in prevention of immunopathology, has remained elusive. Regulatory T cells of CD8+CD28low phenotype efficiently control immune responses in experimental autoimmune and colitis models in mice. We here show that CD8+CD28low Treg from AIRE-deficient mice are transcriptionally and phenotypically normal, exert efficient suppression of in vitro immune responses, but completely fail to prevent experimental colitis in vivo. Our data therefore demonstrate that AIRE plays an important role in the in vivo function of a naturally occurring regulatory T cell population.
Autoimmune regulator (AIRE)-deficient CD8+CD28low regulatory T lymphocytes fail to control experimental colitis.
Treatment
View SamplesIn lung cancer progression, p53 mutations are more often observed in invasive tumors than in non-invasive tumors, suggesting that p53 is involved in tumor invasion and metastasis. To understand the nature of p53 function as a tumor suppressor, it is crucial to elucidate the detailed mechanism of the alteration in epithelial cells, the main origin of solid tumors, following p53 inactivation.
TSPAN2 is involved in cell invasion and motility during lung cancer progression.
Sex, Age, Specimen part, Treatment
View SamplesPurpose: Foxp2 is the first and for now the only gene connected to speech and language in humans. Two aminoacid substitutions took place in this protein during recent human evolution, after our split from the last common ancestor with chimpanzees, and are most likely to have undergone positive selection in human lineage (Enard et al., 2002). Methods: Transgenic mice in which the wild-type (murine) version of Foxp2 was replaced with the one bearing two human-specific amino acid substitutions (i.e. "humanized" Foxp2) - Foxp2hum/hum, have been compared to their wild-type (WT) counterparts in terms of behavior, electrophysiology and striatal gene expression. The latter was analyzed through RNA-sequencing performed on pooled indexed libraries on three flow cells on Illumina GAIIx. The reads were mapped to mouse genome (mm9) by TopHat 1.4.1 and were counted using Bedtools. mRNA profiles were obtained with more than 20 million reads for every sample. Differential gene expression was analyzed with DESeq using multifactor model (Anders and Huber, 2010). Results: Wild-type and Foxp2hum/hum mice did not show any significant differences in expression at individual gene level, neither in dorsomedial nor in dorsolateral striatum. However, when genes were grouped into functional categories and analyzed accordingly, this revealed a significant downregulation of functional categories related to synaptic signalling and plasticity in dorsomedial striatum of Foxp2hum/hum mice. Overall design: RNA-sequencing was performed on dorsomedial and dorsolateral striatum of wild-type and Foxp2hum/hum mice, on three flow cells Illumina GAIIx. The libraries from each sample were indexed and pooled together.
Humanized Foxp2 accelerates learning by enhancing transitions from declarative to procedural performance.
No sample metadata fields
View Samples