Discovery of microRNAs and other small RNAs in solid human tumors: expression
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE20414 | GEO | 2010/05/20
SECONDARY ACCESSION(S): PRJNA129823
REPOSITORIES: GEO
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Project description:MicroRNAs (miRNAs) are ~22 nucleotide-long, non-coding RNAs that regulate gene silencing. It is known that many human miRNAs are deregulated in numerous types of tumors. Here we report the sequencing of small RNAs from 23 breast, bladder, colon, and lung tumor samples using high-throughput sequencing. We identified 49 novel miRNA and miRNA-like small RNAs. We further validated the expression of 10 novel small RNAs in 31 different types of blood, normal and tumor tissue samples using two independent platforms, namely microarray and RT-PCR. Some of the novel sequences show a large difference in expression between tumor and tumor-adjacent tissues, between different tumor stages, or between different tumor types. We also report the identification of novel small RNA classes in human: highly expressed small RNA derived from Y-RNA and endogenous siRNA. Finally, we identified dozens of new miRNA sequence variants that demonstrate the existence of miRNA-related SNP or post-transcriptional modifications. Our work extends the current knowledge of the tumor small RNA transcriptome and provides novel candidates for molecular biomarkers and drug targets.
2010-05-20 | GSE20417 | GEO
Project description:As the fetal heart develops, cardiomyocyte proliferation potential decreases while fatty acid oxidative capacity increases, a highly regulated transition known as cardiac maturation. Small noncoding RNAs, such as microRNAs (miRNAs), contribute to the establishment and control of tissue-specific transcriptional programs. However, small RNA expression dynamics and genome wide miRNA regulatory networks controlling maturation of the human fetal heart remain poorly understood. Transcriptome profiling of small RNAs revealed the temporal expression patterns of miRNA, piRNA, circRNA, snoRNA, snRNA and tRNA in the developing human heart between 8 and 19 weeks of gestation. Our analysis revealed that miRNAs were the most dynamically expressed small RNA species throughout mid-gestation. Cross-referencing differentially expressed miRNAs and mRNAs predicted 6,200 mRNA targets, 2134 of which were upregulated and 4066 downregulated as gestation progresses. Moreover, we found that downregulated targets of upregulated miRNAs predominantly control cell cycle progression, while upregulated targets of downregulated miRNAs are linked to energy sensing and oxidative metabolism. Furthermore, integration of miRNA and mRNA profiles with proteomes and reporter metabolites revealed that proteins encoded in mRNA targets, and their associated metabolites, mediate fatty acid oxidation and are enriched as the heart develops.This study revealed the small RNAome of the maturing human fetal heart. Furthermore, our findings suggest that coordinated activation and repression of miRNA expression throughout mid-gestation is essential to establish a dynamic miRNA-mRNA-protein network that decreases cardiomyocyte proliferation potential while increasing the oxidative capacity of the maturing human fetal heart.
2024-01-26 | PXD044936 | Pride
Project description:DEAD-box RNA-binding proteins (RBPs) play a significant role in RNA metabolism to achieve cellular homeostasis, including miRNA biogenesis and transcription. Hypoxia induces stemness cell-like characteristics in cancer cells and promotes malignant progression. Despite the fact that hypoxia can induce the changes in protein and RNA modification, thereby regulating downstream gene expressions, how modifications at different molecular layers interplay with each other are poorly understood. Here we show that hypoxia induces HectH9-mediated K63-linked polyubiquitination of the DEAD-box protein DDX17 as well as reduces N6-methyladenosine (m6A) marks in pri-miRNAs. While m6A potentiates DDX17 binding to pri-miRNAs, decreased m6A modifications of pri-miRNAs and increased polyubiquitination of DDX17 under hypoxia lead to decreased DDX17 binding to pri-miRNAs binding. These events enhance the association of DDX17 with the ubiquitin receptor p300 and lead to a decrease in miRNA biogenesis, especially for miRNAs regulating stemness and stemness-related genes. In addition, polyubiquitinated DDX17 together with p300 upregulates H3K56Ac levels on the stemness and stemness-related genes, resulting in enhancement of tumor initiating ability. Post-transcriptionally, decreased miRNA production, including those targeting stemness genes or stemness-related genes, also facilitates tumor initiation. Together, hypoxia triggers DDX17 poly-ubiquitination, which orchestrates dual mechanisms to increase tumor initiating ability and promote tumor progression.
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Project description:Aging clocks, built from comprehensive molecular data, have emerged as promising tools in medicine, forensics, and ecological research. However, few studies have compared the suitability of different molecular data types to predict age in the same cohort and whether combining them would improve predictions. Here, we explored this at the level of proteins and small RNAs in 103 human blood plasma samples. First, we used a two-step mass spectrometry approach measuring 612 proteins to select and quantify 21 proteins that changed in abundance with age. Notably, proteins increasing with age were enriched for components of the complement system. Next, we used small RNA sequencing to select and quantify a set of 315 small RNAs that changed in abundance with age. Most of these were microRNAs (miRNAs), downregulated with age, and predicted to target genes related to growth, cancer, and senescence. Finally, we used the collected data to build age-predictive models. Among the different types of molecules, proteins yielded the most accurate model (R² = 0.59 ± 0.02), followed by miRNAs as the best-performing class of small RNAs (R² = 0.54 ± 0.02). Interestingly, the use of protein and miRNA data together improved predictions (R2 = 0.70 ± 0.01). Future work using larger sample sizes and a validation dataset will be necessary to confirm these results. Nevertheless, our study suggests that combining proteomic and miRNA data yields superior age predictions, possibly by capturing a broader range of age-related physiological changes. It will be interesting to determine if combining different molecular data types works as a general strategy to improve future aging clocks.
2023-07-03 | PXD028295 | Pride
Project description:Aging clocks, built from comprehensive molecular data, have emerged as promising tools in medicine, forensics, and ecological research. However, few studies have compared the suitability of different molecular data types to predict age in the same cohort and whether combining them would improve predictions. Here, we explored this at the level of proteins and small RNAs in 103 human blood plasma samples. First, we used a two-step mass spectrometry approach measuring 612 proteins to select and quantify 21 proteins that changed in abundance with age. Notably, proteins increasing with age were enriched for components of the complement system. Next, we used small RNA sequencing to select and quantify a set of 315 small RNAs that changed in abundance with age. Most of these were microRNAs (miRNAs), downregulated with age, and predicted to target genes related to growth, cancer, and senescence. Finally, we used the collected data to build age-predictive models. Among the different types of molecules, proteins yielded the most accurate model (R² = 0.59 ± 0.02), followed by miRNAs as the best-performing class of small RNAs (R² = 0.54 ± 0.02). Interestingly, the use of protein and miRNA data together improved predictions (R2 = 0.70 ± 0.01). Future work using larger sample sizes and a validation dataset will be necessary to confirm these results. Nevertheless, our study suggests that combining proteomic and miRNA data yields superior age predictions, possibly by capturing a broader range of age-related physiological changes. It will be interesting to determine if combining different molecular data types works as a general strategy to improve future aging clocks.
2023-07-03 | PXD028281 | Pride
Project description:The small RNA transcriptomes of bread wheat (Triticum aestivum L.) and its emerging model (Brachypodium distachyon (L.) Beauv) were obtained by using deep sequencing technology. Small RNA compositions were analyzed in these two species. In addition to 70 conserved microRNAs (miRNA) from 25 families, 23 novel wheat miRNAs were identified. For Brachypodium, 12 putative miRNAs were predicted from a limited number of ESTs, of which one was a potential novel miRNA. Also, 94 conserved miRNAs from 28 families were identified in this species. Expression validation was performed for several novel wheat miRNAs. RNA ligase-mediated 5' RACE experiments demonstrated their capability to cleave predicted target genes including three disease resistant gene analogs. Differential expression of miRNAs was observed between Brachypodium vegetative and reproductive tissues, suggesting their different roles at the two growth stages. Our work significantly increases the novel miRNA numbers in wheat and provides the first set of small RNAs in Brachypodium distachyon. Keywords: Small RNA
2009-06-08 | GSE16177 | GEO
Project description:MicroRNAs (miRNAs) and small interfering RNAs (siRNAs) are short (19â25 nucleotides) non-coding RNA molecules that have large-scale regulatory effects on development and on stress responses in plants.The objective of this study is to investigate the transcriptional profile of miRNAs and other small non-coding RNAs in Verticilliumâinoculated cotton roots. Four small RNA libraries were constructed from mocked and infected roots of two cotton cultured species which are with different Verticillium tolerance (âHai-7124â, Gossypium barbadense L., a Verticillium-tolerant cultivar, and âYi-11â, Gossypium hirsutum L. a Verticillium-sensitive cultivar). The length distribution of obtained small RNA pools was significantly different among libraries. A total of 215 conserved miRNA families were identified in the two cotton species, of them 14 are novel. There were >65 families with different expression between two libraries. We also identified two ta-siRNAs and thousands of endogenous siRNA candidates, and hundred of them exhibited altered expression after inoculation of Verticillium. The profiling of these miRNAs and other small non-coding RNAs lay the foundation for further understanding of small RNAs function in the regulation of Verticillium defence responses in cotton roots. Examination of 2 different traetments in 2 cotton types.
2011-04-29 | E-GEOD-28236 | biostudies-arrayexpress
Project description:Currently, micro RNAs (miRNAs) constitute a promising models for cell-to-cell communication since they are transferred between cells to execute essential roles in many processes. Their structure and size, in addition to various transport mechanisms, allow them to remain stable within various biological fluids, surviving in extremely adverse conditions, including low pH, boiling, and freezing. The presence of miRNAs in reproductive fluids, such as follicular, uterine and seminal fluid, indicate potential roles in the reproductive system. These extracellular miRNAs can be transported by lipoproteins (both HDL and LDL) or other proteins, including Argonaute2 (AGO2) and nucleophosmin1 (NPM1). Another transport system is mediated by extracellular vesicles (EVs), such as apoptotic bodies, microvesicles (MVs) and/or exosome-like vesicles. EVs protect miRNAs from degradation and contribute to their stability within biological fluids. Furthermore, EVs can transport a wide range of components packaged in a selective way. For instance, Squadrito et al. (2014), used macrophages and endothelial cells to demonstrate that the sorting of miRNAs into EVs for heterotrophic cell communication is altered by both, the presence of target transcripts and the self-presence of the respectively miRNA. In addition, the signature of miRNAs found in the exosomes significantly differed for those detected in the parent cells. To date, mechanisms controlling the specific loading of miRNAs into exosomes remain unclear. Indeed, several mechanisms may govern exosome sorting of specific subsets of miRNAs. MiRNA sorting appears to be influenced by different pathways and molecules in different cell types and tissues, and miRNAs contain well defined motifs (i.e., EXOmotifs), that direct the miRNA allocation into exosomes before delivery into recipient cells. A recent study showed that this RNA sequence can be recognized by the sumoylated form of the heterogeneous ribonucleoprotein A2B1 (hnRNPA2B1). Moreover, a terminal 30 nucleotide addition in miRNAs affects their selective sorting in B cells. Another hypothesis suggests that RNAs are selectively sorted depending on the differential affinity of RNA motifs towards the raft-like region of the cytoplasmic surface of microvesicular body (MVB) limiting membranes. Current data indicate that cells can communicate with each other through the transfer of miRNA-loaded exosomes. For example, monocyte-derived exosomes deliver miR-150 to endothelial cells and enhance endothelial cell migration by reducing c-myb expression. The miRNA content of exosomes plays a critical role in such cell-to-cell communication and determines the fate of recipient cells. Thus, exosomes derived from the bone marrow mesenchymal stromal cells of myeloma patients promote tumor growth depending on the content of miR-15a in exosomes. Our group has described a novel cell-to-cell communication mechanism involving the delivery of endometrial miRNAs from the maternal endometrium to the trophectoderm cells of preimplantation embryos. Specifically, in B6C3 derived mouse embryos, we found EV-associated and free miR-30d to cause overexpression of genes involved in embryonic adhesion processes, including Itb3, Itga7 and Cdh5. Furthermore, supplementing murine embryos with miR-30d significantly improved embryo adhesion, suggesting that external miRNAs may have a functional role as transcriptomic modifiers of preimplantation embryos. Based on profiling of miRNAs in endometrial fluid, maternally-derived miRNAs are present within EVs in the uterine microenvironment. The internalization of maternally-derived exosomes has been visualized, but the mechanism by which miR-30d becomes incorporated into exosomes remains unknown. The present study aimed to elucidate the underlying mechanism of hsa-miR-30d transfer from human endometrial epithelial cells (hEECs) to the interior of exosomes and eventually to early-stage blastocysts, using a mir-30d knockout murine mode.
2018-06-20 | PXD008773 | Pride
Project description:The small RNA transcriptomes of bread wheat (Triticum aestivum L.) and its emerging model (Brachypodium distachyon (L.) Beauv) were obtained by using deep sequencing technology. Small RNA compositions were analyzed in these two species. In addition to 70 conserved microRNAs (miRNA) from 25 families, 23 novel wheat miRNAs were identified. For Brachypodium, 12 putative miRNAs were predicted from a limited number of ESTs, of which one was a potential novel miRNA. Also, 94 conserved miRNAs from 28 families were identified in this species. Expression validation was performed for several novel wheat miRNAs. RNA ligase-mediated 5' RACE experiments demonstrated their capability to cleave predicted target genes including three disease resistant gene analogs. Differential expression of miRNAs was observed between Brachypodium vegetative and reproductive tissues, suggesting their different roles at the two growth stages. Our work significantly increases the novel miRNA numbers in wheat and provides the first set of small RNAs in Brachypodium distachyon. Keywords: Small RNA One wheat small RNA library (Tae) and two Brachypodium small RNA libraries (BdR and BdV) were sequenced.
2009-06-07 | E-GEOD-16177 | biostudies-arrayexpress
Project description:Background Digital gene expression (DGE) profiling has become an established tool to study RNA expression. Here, we provide an in-depth analysis of small RNA DGE profiles from two different rat strains (BN-Lx and SHR) from six different rat tissues (spleen, liver, brain, testis, heart, kidney). We describe the expression patterns of known and novel micro (mi)RNAs and piwi-interacting (pi)RNAs. We confirmed the expression of 589 known miRNAs and identified 56 miRNAs homologous to known human or mouse miRNAs, as well as 45 new rat miRNAs. Furthermore, we confirmed specific A to I editing in brain for mir-376a/b/c and identified mir-377 as a novel editing target. In accordance with earlier findings, we observed a highly tissue-specific expression pattern for all tissues analyzed. The brain was found to express the highest number of tissue-specific miRNAs, followed by testis. Notably, our experiments also revealed robust strain-specific differential miRNA expression in the liver that is caused by genetic variation between the strains. Finally, we identified two types of germline-specific piRNAs in testis, mapping either to transposons or in strand-specific clusters. Taken together, the small RNA compendium described here advances the annotation of small RNAs in the rat genome. Strain and tissue-specific expression patterns furthermore provide a strong basis for studying the role of small RNAs in regulatory networks as well as biological process like physiology and neurobiology that are extensively studied in this model system. Small RNAs from 6 tissues were cloned and sequenced. Tissues included whole brain, liver, spleen, heart, testis, kidney. Tissues were sequenced from 2 rats: one BN-Lx rat and one SHR rat. For strain-specific miRNA expression we included 4 replicate whole livers, i.e. from 2 BN-Lx rats and 2 SHR rats.
2010-02-17 | E-GEOD-19054 | biostudies-arrayexpress