The document describes a method called MiRaGE for inferring gene expression regulation by miRNA. It discusses three applications of the MiRaGE method: 1) Inferring transfection of miRNAs into human lung cancer cells, 2) Inferring gene regulation via miRNA in murine medulloblastoma, and 3) Identifying critical miRNAs for maintaining embryonic stem cell stemness during differentiation into neuronal cells. The MiRaGE method combines miRNA expression profiling with prediction of miRNA target genes to generate rankings of miRNAs likely to be regulating gene expression in each biological system analyzed.
Search of miRNAs critical for medulloblastoma formation using MiRaGE methodY-h Taguchi
1) The document describes a method called MiRaGE (MiRNA Ranking by Gene Expression) to identify miRNAs critical for medulloblastoma formation.
2) The method analyzes gene expression data from mouse brain samples at different developmental stages (P6, P30, MB) and compares expression of predicted miRNA target genes to rank miRNAs.
3) The top ranked miRNAs by MiRaGE and expression analysis include members of the miR-17~92 cluster, which are suggested to contribute to cancer formation. Other top miRNAs regulate neuronal development and tumor suppression.
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TEMOZOLOMIDE Taj Pharma : Uses, Side Effects, Interactions, Pictures, Warnings, TEMOZOLOMIDE Dosage & Rx Info | TEMOZOLOMIDE Uses, Side Effects -: Indications, Side Effects, Warnings, TEMOZOLOMIDE - Drug Information - Taj Pharma, TEMOZOLOMIDE dose Taj pharmaceuticals TEMOZOLOMIDE interactions, Taj Pharmaceutical TEMOZOLOMIDE contraindications, TEMOZOLOMIDE price, TEMOZOLOMIDE Taj Pharma Temozolomide 20 mg, 100 mg, 250 mg hard capsulesSMPC- Taj Pharma . Stay connected to all updated on TEMOZOLOMIDE Taj Pharmaceuticals Taj pharmaceuticals Hyderabad.
This document summarizes research on microRNAs that confer radioresistance in glioblastoma. Four miRNAs (miR-1, miR-125a, miR-150, miR-425) were identified that limit apoptosis induced by radiation and activate DNA damage checkpoint factors without affecting repair. miR-1 and miR-125a expression is induced by TGF-β signaling. Inhibiting these miRNAs can neutralize radioresistance caused by TGF-β. The miRNAs are expressed in primary glioblastoma samples and targeting them may benefit patients by increasing radiosensitivity.
Possible miRNA coregulation of target genes in brain regions by both differ...Y-h Taguchi
The document discusses possible coregulation of target genes in brain regions by differential miRNA expression and miRNA-targeting-specific promoter methylation. It summarizes that numerous miRNAs have target genes with significantly hyper/hypomethylated promoters between brain regions. miRNA regulation of target genes is significantly correlated with miRNA-targeting-specific promoter methylation. Despite selecting diverse miRNAs that regulate target genes excluding promoter methylation, the KEGG pathways enriched by their union of target genes are largely common.
This document discusses microRNAs (miRNAs), which are 22 nucleotide non-coding RNAs that play important regulatory roles in plants. miRNAs are processed from stem-loop precursors by the enzyme Dicer and mediate post-transcriptional gene silencing by guiding mRNA cleavage or translational repression. Bioinformatic and genetic studies have identified many conserved miRNA families in plants and shown that miRNAs regulate key transcription factors to control developmental processes.
This document summarizes gene silencing mechanisms including transcriptional gene silencing (TGS) and post-transcriptional gene silencing (PTGS). TGS involves modifications of histones or DNA that alter accessibility of genes to transcriptional machinery. PTGS results from mRNA of a gene being destroyed or blocked, such as via RNA interference (RNAi). RNAi was discovered in C. elegans and involves long dsRNA being processed by the Dicer enzyme into siRNAs that guide an RISC complex to degrade complementary mRNAs. MicroRNAs also guide RISC complexes but typically block translation rather than degradation.
This document provides an overview of the origins and mechanisms of microRNAs (miRNAs) and small interfering RNAs (siRNAs). It discusses how double-stranded RNAs are cut by the enzyme Dicer into short RNA fragments that then base pair with mRNAs to induce degradation or transcriptional silencing. Key players in this RNA interference (RNAi) pathway include Dicer, Argonaute proteins, and the RNA-induced silencing complex (RISC). The document contrasts siRNAs, which originate from long double-stranded RNA, and miRNAs, which are encoded from single-stranded RNA precursors that form hairpin structures. It examines the processing steps and roles of various proteins in mediating the effects of si
MicroRNAs (miRNAs) are small, highly conserved non-coding RNAs that directly influence the expression of at least 30% of human genes. miRNAs regulate gene expression at the transcriptional and translational levels as well as RNA stability. Over 700 miRNAs have been identified in humans so far and play important roles in processes like cancer and HIV infection. miRNAs represent potential biomarkers for cancer diagnosis and treatment.
Search of miRNAs critical for medulloblastoma formation using MiRaGE methodY-h Taguchi
1) The document describes a method called MiRaGE (MiRNA Ranking by Gene Expression) to identify miRNAs critical for medulloblastoma formation.
2) The method analyzes gene expression data from mouse brain samples at different developmental stages (P6, P30, MB) and compares expression of predicted miRNA target genes to rank miRNAs.
3) The top ranked miRNAs by MiRaGE and expression analysis include members of the miR-17~92 cluster, which are suggested to contribute to cancer formation. Other top miRNAs regulate neuronal development and tumor suppression.
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TEMOZOLOMIDE Taj Pharma : Uses, Side Effects, Interactions, Pictures, Warnings, TEMOZOLOMIDE Dosage & Rx Info | TEMOZOLOMIDE Uses, Side Effects -: Indications, Side Effects, Warnings, TEMOZOLOMIDE - Drug Information - Taj Pharma, TEMOZOLOMIDE dose Taj pharmaceuticals TEMOZOLOMIDE interactions, Taj Pharmaceutical TEMOZOLOMIDE contraindications, TEMOZOLOMIDE price, TEMOZOLOMIDE Taj Pharma Temozolomide 20 mg, 100 mg, 250 mg hard capsulesSMPC- Taj Pharma . Stay connected to all updated on TEMOZOLOMIDE Taj Pharmaceuticals Taj pharmaceuticals Hyderabad.
This document summarizes research on microRNAs that confer radioresistance in glioblastoma. Four miRNAs (miR-1, miR-125a, miR-150, miR-425) were identified that limit apoptosis induced by radiation and activate DNA damage checkpoint factors without affecting repair. miR-1 and miR-125a expression is induced by TGF-β signaling. Inhibiting these miRNAs can neutralize radioresistance caused by TGF-β. The miRNAs are expressed in primary glioblastoma samples and targeting them may benefit patients by increasing radiosensitivity.
Possible miRNA coregulation of target genes in brain regions by both differ...Y-h Taguchi
The document discusses possible coregulation of target genes in brain regions by differential miRNA expression and miRNA-targeting-specific promoter methylation. It summarizes that numerous miRNAs have target genes with significantly hyper/hypomethylated promoters between brain regions. miRNA regulation of target genes is significantly correlated with miRNA-targeting-specific promoter methylation. Despite selecting diverse miRNAs that regulate target genes excluding promoter methylation, the KEGG pathways enriched by their union of target genes are largely common.
This document discusses microRNAs (miRNAs), which are 22 nucleotide non-coding RNAs that play important regulatory roles in plants. miRNAs are processed from stem-loop precursors by the enzyme Dicer and mediate post-transcriptional gene silencing by guiding mRNA cleavage or translational repression. Bioinformatic and genetic studies have identified many conserved miRNA families in plants and shown that miRNAs regulate key transcription factors to control developmental processes.
This document summarizes gene silencing mechanisms including transcriptional gene silencing (TGS) and post-transcriptional gene silencing (PTGS). TGS involves modifications of histones or DNA that alter accessibility of genes to transcriptional machinery. PTGS results from mRNA of a gene being destroyed or blocked, such as via RNA interference (RNAi). RNAi was discovered in C. elegans and involves long dsRNA being processed by the Dicer enzyme into siRNAs that guide an RISC complex to degrade complementary mRNAs. MicroRNAs also guide RISC complexes but typically block translation rather than degradation.
This document provides an overview of the origins and mechanisms of microRNAs (miRNAs) and small interfering RNAs (siRNAs). It discusses how double-stranded RNAs are cut by the enzyme Dicer into short RNA fragments that then base pair with mRNAs to induce degradation or transcriptional silencing. Key players in this RNA interference (RNAi) pathway include Dicer, Argonaute proteins, and the RNA-induced silencing complex (RISC). The document contrasts siRNAs, which originate from long double-stranded RNA, and miRNAs, which are encoded from single-stranded RNA precursors that form hairpin structures. It examines the processing steps and roles of various proteins in mediating the effects of si
MicroRNAs (miRNAs) are small, highly conserved non-coding RNAs that directly influence the expression of at least 30% of human genes. miRNAs regulate gene expression at the transcriptional and translational levels as well as RNA stability. Over 700 miRNAs have been identified in humans so far and play important roles in processes like cancer and HIV infection. miRNAs represent potential biomarkers for cancer diagnosis and treatment.
''Translational Repression and eIF4A2 Activity Are Critical for MicroRNA-Medi...Wisdom Deebeke Kate
This presentation discusses translational repression and the role of eIF4A2 in microRNA-mediated gene regulation. It provides background on RNAi and microRNAs before summarizing a study which found that translational repression precedes mRNA destabilization during miRNA regulation. The study demonstrated that eIF4A2 plays a critical early role in the repression pathway and that its activity, along with an unstructured 5' UTR, are required for miRNA-mediated translational control of genes.
MiRaGE: Inference of gene expression regulation via microRNA transfection IIY-h Taguchi
This document describes the MiRaGE method for inferring gene expression regulation via microRNA transfection. MiRaGE ranks microRNAs based on the expression levels of their predicted target genes after transfection. It compares target gene expression between control and treated samples and calculates significance values and false discovery rates. The method was tested on human lung cancer cells transfected with miR-107, miR-185, and let-7a, correctly identifying the transfected microRNAs as the top regulators after 1 and 3 days. A MiRaGE web server and database are now available to perform and collect miRNA regulation inferences.
RNA interference (RNAi) is a biological process in which RNA molecules inhibit gene expression, typically by causing the destruction of specific mRNA molecules. Historically, it was known by other names, including co-suppression, post-transcriptional gene silencing (PTGS), and quelling. Only after these apparently unrelated processes were fully understood did it become clear that they all described the RNAi phenomenon. Andrew Fire and Craig C. Mello shared the 2006 Nobel Prize in Physiology or Medicine for their work on RNA interference in the nematode worm Caenorhabditis elegans, which they published in 1998. Since the discovery of RNAi and its regulatory potentials, it has become evident that RNAi has immense potential in suppression of desired genes. RNAi is now known as precise, efficient, stable and better than antisense technology for gene suppression. Two types of small ribonucleic acid (RNA) molecules – microRNA (miRNA) and small interfering RNA (siRNA) – are central to RNA interference. RNAs are the direct products of genes, and these small RNAs can bind to other specific messenger RNA (mRNA) molecules and either increase or decrease their activity, for example by preventing an mRNA from producing a protein. RNA interference has an important role in defending cells against parasitic nucleotide sequences – viruses and transposons. It also influences development.
RNA is a polymer made of ribonucleotides linked together. There are three main classes of RNA - transfer RNA, ribosomal RNA, and messenger RNA. In eukaryotes, primary transcripts undergo processing including capping, polyadenylation, and splicing before being transported to the cytoplasm for translation. MicroRNAs and small interfering RNAs are types of small regulatory RNAs that cause inhibition of gene expression through post-transcriptional gene silencing. Both miRNAs and siRNAs have potential applications as therapeutic targets in humans.
RNA interference (RNAi) is a technique that uses double-stranded RNA to silence gene expression. It involves introducing dsRNA into a cell that is complementary to the target mRNA. This dsRNA is processed by the Dicer enzyme into siRNAs which are incorporated into the RISC complex. The RISC complex uses the siRNA to identify and cleave the target mRNA, preventing it from being translated into protein. RNAi provides a valuable tool for studying gene function and has applications in biotechnology, agriculture, and medicine by allowing researchers to knock down gene expression.
The document provides an overview of microRNAs (miRNAs) and their roles in root development in plants. It defines miRNAs as 21-24 nucleotide non-coding RNAs that regulate gene expression through controlling transcription factors, stress response proteins, and developmental proteins. The biogenesis of miRNAs is described, from transcription of miRNA genes to processing by Dicer and incorporation into Argonaute complexes. Specific miRNAs, such as miR160, miR164, and miR167, are implicated in root cap formation, lateral root development, and adventitious rooting. The roles of miRNAs in symbiosis, taproot thickening, and responses to stresses like phosphate starvation are also summarized.
This document discusses epigenetic regulation in higher plants. It begins by defining epigenetics as heritable changes in gene function that do not involve changes to DNA sequence. It then describes several epigenetic mechanisms including DNA methylation, histone modification, and regulatory non-coding RNAs. It provides examples of epigenetic phenomena like paramutation, where one allele can alter the expression of another without changing the DNA sequence. It also discusses parent-of-origin effects like genomic imprinting. The document outlines topics including DNA methyltransferases, components of RNA-directed transcriptional gene silencing, and genes involved in the RNA-dependent DNA methylation pathway.
The document discusses microRNAs (miRNAs), a type of non-coding RNA. It describes how miRNAs are produced through transcription and processing, and how they regulate gene expression by targeting mRNAs. It also outlines different types of non-coding RNAs and their functions, miRNA biogenesis pathways, miRNA mechanisms of silencing target genes, and the roles of miRNAs in various cellular processes and diseases like cancer.
DNA methylation patterns undergo significant changes during development. In early development, methylation patterns are erased through both active and passive demethylation. After implantation, de novo methylation establishes new patterns mediated by DNMT3A and DNMT3B. Tissue-specific methylation then arises from both protection of CpG islands and targeted demethylation of specific genes in different tissues. Polycomb complexes play a role in targeting de novo methylation during development.
The document discusses amino acids and protein structure. It begins by explaining that proteins are composed of amino acids, which each contain an amino group, carboxyl group, alpha carbon, and different R groups. Amino acids join together via peptide bonds in a chain from N to C terminus. This primary structure can then take on secondary structures like alpha helices and beta sheets through hydrogen bonding. Tertiary structure involves the 3D conformations of these secondary structures, while quaternary structure involves multiple protein subunits combining. The document provides examples of protein structures and organization to illustrate these concepts.
This lecture discusses post-transcriptional regulation of gene expression through alternative splicing and RNA interference. Alternative splicing allows a single gene to produce different protein variants by including or excluding exons during mRNA processing in the nucleus. RNA interference regulates gene expression by introducing small RNA molecules like miRNAs and siRNAs that bind mRNA in the cytoplasm to inhibit translation or promote degradation. Both mechanisms allow for flexible and precise control of protein production from a gene in a cell type-specific manner.
Automated sequencing of genomes require automated gene assignment
Includes detection of open reading frames (ORFs)
Identification of the introns and exons
Gene prediction a very difficult problem in pattern recognition
Coding regions generally do not have conserved sequences
Much progress made with prokaryotic gene prediction
Eukaryotic genes more difficult to predict correctly
Competitive target gene regulation by promoter methylation and miRNAY-h Taguchi
This document discusses competitive target gene regulation by promoter methylation and microRNA (miRNA). The author presents results showing that genes with hypomethylated promoters tend to be downregulated by miRNAs during cell senescence but upregulated during differentiation from embryonic stem cells. Specifically, genes with hypomethylated promoters are frequently targeted by miR-548, suggesting cooperative regulation between promoter methylation and miRNA targeting of genes.
MicroRNAs are small non-coding RNA molecules that regulate gene expression. The first miRNA, lin-4, was discovered in C. elegans in 1993. miRNAs are produced through a biogenesis pathway where they are processed from pri-miRNAs into pre-miRNAs and finally mature miRNAs that incorporate into the RNA-induced silencing complex and bind to target mRNAs to repress translation or promote degradation. Given their regulatory roles, miRNAs are a promising therapeutic target and several approaches are being explored to deliver miRNA mimics or inhibitors (antimiRs) to cells including various chemical modifications to oligonucleotides and viral/non-viral vectors. Several miRNAs such as miR-122, miR-155 and miR-21 are already in
SMi is proud to present its 6th conference on RNAi, miRNA and siRNA which shall tackle some of the most prominent issues that stand in the way of the successful harnessing of the vast potential that the process possesses. RNAi is still a new and exciting area of pharmaceutical development, however significant progress is required in certain areas, in achieving successful targeted delivery and tackling off targeting as two examples.
This conference will display some of the most promising results achieved; from structural determination through to specific therapeutic applications, clinical trial considerations and negotiating the regulatory minefield, attendees can be sure to expect an invaluable learning and networking experience.
1. The document describes the process of chromatin remodeling from a loose structure to a highly condensed structure. It progresses from nucleosomes forming a beads-on-a-string structure, to a 30nm fiber, then loops and folds to form a metaphase chromosome hundreds of nanometers in length.
2. It explains how histone acetylation promotes a loose chromatin structure allowing transcription, while unacetylated histones result in a tighter structure preventing transcription.
3. The stages of gene expression are outlined, from transcription to RNA processing and export from the nucleus for translation into protein in the cytoplasm.
Gene silencing refers to epigenetic regulation of gene expression.
General Techniques are:
Transcriptional gene silencing
Genomic Imprinting
Paramutation
Transposon silencing
Transcriptional gene silencing
Position effect
RNA-directed DNA methylation
Used in research
Antisense oligonucleotides
Ribozymes
RNA interference
RNA interference (RNAi) is a biological process where RNA molecules inhibit gene expression, typically by causing the destruction of specific mRNA molecules. It was first discovered in plants and nematodes but is found in most eukaryotic organisms. The process involves specialized enzymes that cut long RNA molecules into short interfering RNAs which then guide other proteins to destroy any RNAs of the same sequence. RNAi plays important roles in regulating genes and defending against foreign DNA and RNA. It has many applications for studying gene function and as a potential therapeutic approach for diseases like cancer and infections.
- MicroRNAs (miRNAs) are small non-coding RNAs that regulate gene expression through base pairing with messenger RNA (mRNA) molecules. They are encoded in the genome and are abundant in many human cell types.
- miRNAs play a vital role in genetic regulation and are involved in most biological processes. Aberrant miRNA expression has been implicated in many diseases.
- miRNAs are initially transcribed as long primary transcripts that are processed in the nucleus by the Drosha enzyme into hairpin-shaped precursor miRNAs. These are then exported into the cytoplasm and further processed by the Dicer enzyme into mature miRNAs that can regulate gene expression through pairing with mRNAs.
RNA silencing/RNAi involves the knock-down of genes through two types of small RNA molecules, miRNAs and siRNAs, that are involved in post-transcriptional and transcriptional gene silencing as an antiviral mechanism; short double-stranded RNAs are processed by the Dicer enzyme into siRNAs which are incorporated into the RISC complex to guide degradation of homologous mRNA targets; RNAi is an important endogenous gene regulatory mechanism and has applications in gene function analysis, gene therapy, and cancer treatment.
This document describes miScript miRNA PCR Arrays, which allow for the simultaneous detection of genome-wide or pathway-focused microRNA (miRNA) expression. It provides an overview of miRNA biology and research, details the miScript miRNA PCR Array system workflow from isolation to data analysis, and discusses applications in cancer research, development, differentiation, and genome-wide discovery. The system offers validated miRNA assays, controls, and optimized reagents to enable reproducible and reliable miRNA expression profiling from RNA samples.
MicroRNAs are short non- coding RNA molecules (~21 bases) that have been identified as important regulators of gene expression at the translational and transcriptional level. They are known to play a crucial role in cell development, differentiation, and disease. Dysregulation of miRNAs has been linked to cancer development as well as progression. In addition, miRNAs have been identified as cancer classifiers and disease biomarkers. Recent studies have shown that miRNAs are present in body fluids (serum, saliva, semen, urine) thus providing a non-invasive tool to study and monitor disease states. Earlier research studies identified specific miRNAs as characteristic for germ cell cancers, i.e., seminomas and nonseminomas (miR-372, miR-373).
Material and Methods
miRNA Profiling (~760 miRNAs) was performed to verify this observation and to identify additional miRNAs as candidate biomarkers in serum samples for testicular cancer (seminoma and non-seminoma types and from normal and cancer tissue in parallel with their matched serum samples collected from the same donors). For this research study we used a miRNA specific bead capture system to isolate miRNAs from serum and qPCR (TaqMan®Array Card platform) for profiling.
Results
Using this high throughput approach, consistent differences were identified in miRNA expression for the previously identified hsa-miR-371, hsa-miR- 372, and hsa-miR-302b between tumor and normal samples. In addition other interesting miRNAs showed relevant and significant differences as well.
Conclusions
These data suggest that there may be intrinsic differences in the overall miRNA expression profiles between seminoma and non-seminoma cancer types. An update on the actual status will be presented.
''Translational Repression and eIF4A2 Activity Are Critical for MicroRNA-Medi...Wisdom Deebeke Kate
This presentation discusses translational repression and the role of eIF4A2 in microRNA-mediated gene regulation. It provides background on RNAi and microRNAs before summarizing a study which found that translational repression precedes mRNA destabilization during miRNA regulation. The study demonstrated that eIF4A2 plays a critical early role in the repression pathway and that its activity, along with an unstructured 5' UTR, are required for miRNA-mediated translational control of genes.
MiRaGE: Inference of gene expression regulation via microRNA transfection IIY-h Taguchi
This document describes the MiRaGE method for inferring gene expression regulation via microRNA transfection. MiRaGE ranks microRNAs based on the expression levels of their predicted target genes after transfection. It compares target gene expression between control and treated samples and calculates significance values and false discovery rates. The method was tested on human lung cancer cells transfected with miR-107, miR-185, and let-7a, correctly identifying the transfected microRNAs as the top regulators after 1 and 3 days. A MiRaGE web server and database are now available to perform and collect miRNA regulation inferences.
RNA interference (RNAi) is a biological process in which RNA molecules inhibit gene expression, typically by causing the destruction of specific mRNA molecules. Historically, it was known by other names, including co-suppression, post-transcriptional gene silencing (PTGS), and quelling. Only after these apparently unrelated processes were fully understood did it become clear that they all described the RNAi phenomenon. Andrew Fire and Craig C. Mello shared the 2006 Nobel Prize in Physiology or Medicine for their work on RNA interference in the nematode worm Caenorhabditis elegans, which they published in 1998. Since the discovery of RNAi and its regulatory potentials, it has become evident that RNAi has immense potential in suppression of desired genes. RNAi is now known as precise, efficient, stable and better than antisense technology for gene suppression. Two types of small ribonucleic acid (RNA) molecules – microRNA (miRNA) and small interfering RNA (siRNA) – are central to RNA interference. RNAs are the direct products of genes, and these small RNAs can bind to other specific messenger RNA (mRNA) molecules and either increase or decrease their activity, for example by preventing an mRNA from producing a protein. RNA interference has an important role in defending cells against parasitic nucleotide sequences – viruses and transposons. It also influences development.
RNA is a polymer made of ribonucleotides linked together. There are three main classes of RNA - transfer RNA, ribosomal RNA, and messenger RNA. In eukaryotes, primary transcripts undergo processing including capping, polyadenylation, and splicing before being transported to the cytoplasm for translation. MicroRNAs and small interfering RNAs are types of small regulatory RNAs that cause inhibition of gene expression through post-transcriptional gene silencing. Both miRNAs and siRNAs have potential applications as therapeutic targets in humans.
RNA interference (RNAi) is a technique that uses double-stranded RNA to silence gene expression. It involves introducing dsRNA into a cell that is complementary to the target mRNA. This dsRNA is processed by the Dicer enzyme into siRNAs which are incorporated into the RISC complex. The RISC complex uses the siRNA to identify and cleave the target mRNA, preventing it from being translated into protein. RNAi provides a valuable tool for studying gene function and has applications in biotechnology, agriculture, and medicine by allowing researchers to knock down gene expression.
The document provides an overview of microRNAs (miRNAs) and their roles in root development in plants. It defines miRNAs as 21-24 nucleotide non-coding RNAs that regulate gene expression through controlling transcription factors, stress response proteins, and developmental proteins. The biogenesis of miRNAs is described, from transcription of miRNA genes to processing by Dicer and incorporation into Argonaute complexes. Specific miRNAs, such as miR160, miR164, and miR167, are implicated in root cap formation, lateral root development, and adventitious rooting. The roles of miRNAs in symbiosis, taproot thickening, and responses to stresses like phosphate starvation are also summarized.
This document discusses epigenetic regulation in higher plants. It begins by defining epigenetics as heritable changes in gene function that do not involve changes to DNA sequence. It then describes several epigenetic mechanisms including DNA methylation, histone modification, and regulatory non-coding RNAs. It provides examples of epigenetic phenomena like paramutation, where one allele can alter the expression of another without changing the DNA sequence. It also discusses parent-of-origin effects like genomic imprinting. The document outlines topics including DNA methyltransferases, components of RNA-directed transcriptional gene silencing, and genes involved in the RNA-dependent DNA methylation pathway.
The document discusses microRNAs (miRNAs), a type of non-coding RNA. It describes how miRNAs are produced through transcription and processing, and how they regulate gene expression by targeting mRNAs. It also outlines different types of non-coding RNAs and their functions, miRNA biogenesis pathways, miRNA mechanisms of silencing target genes, and the roles of miRNAs in various cellular processes and diseases like cancer.
DNA methylation patterns undergo significant changes during development. In early development, methylation patterns are erased through both active and passive demethylation. After implantation, de novo methylation establishes new patterns mediated by DNMT3A and DNMT3B. Tissue-specific methylation then arises from both protection of CpG islands and targeted demethylation of specific genes in different tissues. Polycomb complexes play a role in targeting de novo methylation during development.
The document discusses amino acids and protein structure. It begins by explaining that proteins are composed of amino acids, which each contain an amino group, carboxyl group, alpha carbon, and different R groups. Amino acids join together via peptide bonds in a chain from N to C terminus. This primary structure can then take on secondary structures like alpha helices and beta sheets through hydrogen bonding. Tertiary structure involves the 3D conformations of these secondary structures, while quaternary structure involves multiple protein subunits combining. The document provides examples of protein structures and organization to illustrate these concepts.
This lecture discusses post-transcriptional regulation of gene expression through alternative splicing and RNA interference. Alternative splicing allows a single gene to produce different protein variants by including or excluding exons during mRNA processing in the nucleus. RNA interference regulates gene expression by introducing small RNA molecules like miRNAs and siRNAs that bind mRNA in the cytoplasm to inhibit translation or promote degradation. Both mechanisms allow for flexible and precise control of protein production from a gene in a cell type-specific manner.
Automated sequencing of genomes require automated gene assignment
Includes detection of open reading frames (ORFs)
Identification of the introns and exons
Gene prediction a very difficult problem in pattern recognition
Coding regions generally do not have conserved sequences
Much progress made with prokaryotic gene prediction
Eukaryotic genes more difficult to predict correctly
Competitive target gene regulation by promoter methylation and miRNAY-h Taguchi
This document discusses competitive target gene regulation by promoter methylation and microRNA (miRNA). The author presents results showing that genes with hypomethylated promoters tend to be downregulated by miRNAs during cell senescence but upregulated during differentiation from embryonic stem cells. Specifically, genes with hypomethylated promoters are frequently targeted by miR-548, suggesting cooperative regulation between promoter methylation and miRNA targeting of genes.
MicroRNAs are small non-coding RNA molecules that regulate gene expression. The first miRNA, lin-4, was discovered in C. elegans in 1993. miRNAs are produced through a biogenesis pathway where they are processed from pri-miRNAs into pre-miRNAs and finally mature miRNAs that incorporate into the RNA-induced silencing complex and bind to target mRNAs to repress translation or promote degradation. Given their regulatory roles, miRNAs are a promising therapeutic target and several approaches are being explored to deliver miRNA mimics or inhibitors (antimiRs) to cells including various chemical modifications to oligonucleotides and viral/non-viral vectors. Several miRNAs such as miR-122, miR-155 and miR-21 are already in
SMi is proud to present its 6th conference on RNAi, miRNA and siRNA which shall tackle some of the most prominent issues that stand in the way of the successful harnessing of the vast potential that the process possesses. RNAi is still a new and exciting area of pharmaceutical development, however significant progress is required in certain areas, in achieving successful targeted delivery and tackling off targeting as two examples.
This conference will display some of the most promising results achieved; from structural determination through to specific therapeutic applications, clinical trial considerations and negotiating the regulatory minefield, attendees can be sure to expect an invaluable learning and networking experience.
1. The document describes the process of chromatin remodeling from a loose structure to a highly condensed structure. It progresses from nucleosomes forming a beads-on-a-string structure, to a 30nm fiber, then loops and folds to form a metaphase chromosome hundreds of nanometers in length.
2. It explains how histone acetylation promotes a loose chromatin structure allowing transcription, while unacetylated histones result in a tighter structure preventing transcription.
3. The stages of gene expression are outlined, from transcription to RNA processing and export from the nucleus for translation into protein in the cytoplasm.
Gene silencing refers to epigenetic regulation of gene expression.
General Techniques are:
Transcriptional gene silencing
Genomic Imprinting
Paramutation
Transposon silencing
Transcriptional gene silencing
Position effect
RNA-directed DNA methylation
Used in research
Antisense oligonucleotides
Ribozymes
RNA interference
RNA interference (RNAi) is a biological process where RNA molecules inhibit gene expression, typically by causing the destruction of specific mRNA molecules. It was first discovered in plants and nematodes but is found in most eukaryotic organisms. The process involves specialized enzymes that cut long RNA molecules into short interfering RNAs which then guide other proteins to destroy any RNAs of the same sequence. RNAi plays important roles in regulating genes and defending against foreign DNA and RNA. It has many applications for studying gene function and as a potential therapeutic approach for diseases like cancer and infections.
- MicroRNAs (miRNAs) are small non-coding RNAs that regulate gene expression through base pairing with messenger RNA (mRNA) molecules. They are encoded in the genome and are abundant in many human cell types.
- miRNAs play a vital role in genetic regulation and are involved in most biological processes. Aberrant miRNA expression has been implicated in many diseases.
- miRNAs are initially transcribed as long primary transcripts that are processed in the nucleus by the Drosha enzyme into hairpin-shaped precursor miRNAs. These are then exported into the cytoplasm and further processed by the Dicer enzyme into mature miRNAs that can regulate gene expression through pairing with mRNAs.
RNA silencing/RNAi involves the knock-down of genes through two types of small RNA molecules, miRNAs and siRNAs, that are involved in post-transcriptional and transcriptional gene silencing as an antiviral mechanism; short double-stranded RNAs are processed by the Dicer enzyme into siRNAs which are incorporated into the RISC complex to guide degradation of homologous mRNA targets; RNAi is an important endogenous gene regulatory mechanism and has applications in gene function analysis, gene therapy, and cancer treatment.
This document describes miScript miRNA PCR Arrays, which allow for the simultaneous detection of genome-wide or pathway-focused microRNA (miRNA) expression. It provides an overview of miRNA biology and research, details the miScript miRNA PCR Array system workflow from isolation to data analysis, and discusses applications in cancer research, development, differentiation, and genome-wide discovery. The system offers validated miRNA assays, controls, and optimized reagents to enable reproducible and reliable miRNA expression profiling from RNA samples.
MicroRNAs are short non- coding RNA molecules (~21 bases) that have been identified as important regulators of gene expression at the translational and transcriptional level. They are known to play a crucial role in cell development, differentiation, and disease. Dysregulation of miRNAs has been linked to cancer development as well as progression. In addition, miRNAs have been identified as cancer classifiers and disease biomarkers. Recent studies have shown that miRNAs are present in body fluids (serum, saliva, semen, urine) thus providing a non-invasive tool to study and monitor disease states. Earlier research studies identified specific miRNAs as characteristic for germ cell cancers, i.e., seminomas and nonseminomas (miR-372, miR-373).
Material and Methods
miRNA Profiling (~760 miRNAs) was performed to verify this observation and to identify additional miRNAs as candidate biomarkers in serum samples for testicular cancer (seminoma and non-seminoma types and from normal and cancer tissue in parallel with their matched serum samples collected from the same donors). For this research study we used a miRNA specific bead capture system to isolate miRNAs from serum and qPCR (TaqMan®Array Card platform) for profiling.
Results
Using this high throughput approach, consistent differences were identified in miRNA expression for the previously identified hsa-miR-371, hsa-miR- 372, and hsa-miR-302b between tumor and normal samples. In addition other interesting miRNAs showed relevant and significant differences as well.
Conclusions
These data suggest that there may be intrinsic differences in the overall miRNA expression profiles between seminoma and non-seminoma cancer types. An update on the actual status will be presented.
miRNAs endogenous regulator of gene expressionHari Om Pandey
MicroRNAs are small non-coding RNA molecules that regulate gene expression post-transcriptionally. They are involved in many biological processes. The document discusses microRNA biogenesis, classification, nomenclature, genomic organization, and roles in ovarian function and follicular development. It specifically examines how microRNA-424 and microRNA-503 are highly expressed in dominant follicles and predicted to target SMAD7 and ACVR2A, genes important for follicular growth. Experiments were designed to validate these targets using luciferase assays and overexpression/inhibition of the microRNAs in bovine granulosa cells.
The document identifies miR-27a as a potential tumor suppressor microRNA that is downregulated in leukemia. Functional experiments show that overexpression of miR-27a in leukemia cell lines inhibits cell growth and increases apoptosis. miR-27a is predicted to target several pro-apoptotic and cell cycle genes, and in vitro experiments confirm it directly binds to the 3'UTR of YWHAQ, a gene involved in apoptosis signaling. Further studies are needed to validate the tumor suppressor role of miR-27a in vivo and explore its potential as a therapeutic target or drug for leukemia treatment.
The document describes miScript miRNA PCR Arrays, which enable comprehensive profiling of miRNAs for disease research and biomarker discovery. The arrays contain extensively verified assays for miRNAs related to biological pathways and diseases. The miScript PCR system provides sensitive and reproducible quantification of miRNA expression. It allows isolation of miRNA from samples, conversion to cDNA, and real-time PCR profiling of miRNA expression across pathway- or disease-focused arrays.
The document describes miScript miRNA PCR Arrays, which enable comprehensive profiling of miRNAs for disease research and biomarker discovery. The arrays use a validated PCR technique to quantify miRNA expression levels from tissue samples. They are available in customizable panels focused on specific biological pathways, diseases, or the entire miRNome. The workflow involves isolating miRNA from samples, converting it to cDNA, and running real-time PCR on the array to obtain expression data for targeted miRNAs. The technique provides sensitive and reproducible miRNA profiling to explore their roles in biological contexts and diseases.
This document provides information about microRNAs (miRNAs) and their applications. It begins with an introduction to miRNAs, including that they are small noncoding RNA molecules that regulate genes. It then discusses the history of miRNA discovery, including the first two miRNAs discovered: lin-4 and let-7. The document proceeds to explain the biogenesis of miRNAs in detail through multiple steps from transcription to incorporation into the RNA-induced silencing complex. It also discusses applications of miRNAs as biomarkers for various diseases and their role in cancer and diabetes.
QIAGEN provides solutions for miRNA purification, quantification, and functional analysis. This includes miRNA purification kits, miRNA expression profiling tools like miScript miRNA PCR Arrays, and products for studying miRNA biogenesis and regulation. The miScript PCR System allows sensitive quantification and profiling of miRNA expression using real-time PCR. miScript miRNA PCR Arrays enable rapid profiling of mature miRNAs in miRNome and pathway-focused panels.
This document describes a study that used miRNA expression profiling to identify potential biomarkers for lung cancer. Researchers used the miRNeasy Serum/Plasma Kit to isolate total RNA from normal and lung cancer serum samples. They then used the miScript PCR System and the Human Serum & Plasma 384HC miScript miRNA PCR Array to analyze miRNA expression levels. Several miRNAs were found to be significantly upregulated in lung cancer serum samples, including miRNAs that have previously been identified as blood-based markers for lung cancer.
Non coding RNA as targets in drug discovery.pptxLijoMani
This document discusses non-coding RNAs (ncRNAs) as potential targets for drug discovery. It begins by defining ncRNAs and describing their types and functions. Several types of ncRNAs are involved in diseases like cancer. MicroRNAs (miRNAs) and long non-coding RNAs (lncRNAs) are discussed in more detail, including their biogenesis, mechanisms of action, and roles in various diseases. The role of ncRNA in regulating immune signaling pathways during Mycobacterium tuberculosis infection is also covered. Finally, the potential for using miRNAs as diagnostic and therapeutic markers is presented.
This document discusses new assays for microRNA (miRNA) research, including isolation, expression analysis, and functional analysis. It describes miRNA isolation kits that can purify miRNAs from various sample types. For expression analysis, it highlights real-time PCR-based miRNA assays, including miRNA PCR arrays that can profile hundreds of miRNAs simultaneously. It also discusses tools for identifying miRNA targets and analyzing miRNA function, such as miRNA mimics and inhibitors. Examples are given of how these assays have been used to study miRNAs in cancer and other diseases.
MicroRNAs are small non-coding RNAs that regulate gene expression. They were first discovered in 1993 in C. elegans. Since then, thousands have been identified in humans. MicroRNAs play roles in many diseases including cancer, where they can act as oncogenes or tumor suppressors. They have also been linked to other diseases like cardiovascular disease and neurodegenerative disorders. Circulating microRNAs in blood plasma/serum show potential as non-invasive biomarkers for diseases since they are stable in microparticles and exosomes and can be easily detected using sensitive PCR methods.
The document describes miScript miRNA PCR Arrays for analyzing miRNA expression patterns. It discusses miRNA biogenesis and function, and how the miScript system allows for genome-wide and pathway-focused miRNA analysis using a qPCR-based approach. The miScript arrays offer high reproducibility, sensitivity, and the ability to discover cancer-related and developmentally regulated miRNAs. They can be used to screen focused miRNA panels or conduct genome-wide screens to discover novel miRNA roles.
This document describes the development of a prototype synthetic microRNA mixture intended for use as a spike-in control for microRNA profiling platforms. 32 microRNAs were selected based on certain criteria and synthesized. The microRNAs were pooled and combined in varying concentrations according to a Latin Square design to generate 8 control mixtures spanning a 4-log dynamic range. Initial testing on PCR arrays showed the control mixtures generated heterologous calibration curves comparable to homogeneous controls for assessing platform performance. The synthetic microRNA control has the potential to help evaluate various performance characteristics of microRNA profiling platforms.
MicroRNAs (miRNAs) are small non-coding RNA molecules involved in post-transcriptional gene silencing. They are 21-24 nucleotides long and regulate gene expression by binding to target mRNAs. The first miRNA, lin-4, was discovered in C. elegans in 1993. Currently over 24,000 miRNAs have been discovered across species. MiRNAs are important regulators of gene expression under stress conditions in plants. For example, miR399 is strongly induced during phosphate starvation and targets the PHO2 gene for downregulation.
This document discusses microRNAs (miRNAs) and methods for studying their function and regulation of genes. It describes:
1) What miRNAs are, how they work by incorporating into the RISC complex and repressing target mRNAs through translational repression or degradation.
2) Techniques for manipulating miRNAs in cell lines using reporter assays, mimics, inhibitors and target protectors to study their effects on genes.
3) How to screen for miRNAs that regulate a target gene using ready-made cDNA panels and quantitative PCR. Several examples are provided of identifying miRNAs that regulate important cancer genes.
1) The webinar discusses advanced microRNA (miRNA) expression analysis from experimental design through data analysis.
2) It focuses on using miScript miRNA PCR Arrays to profile miRNA expression and the ∆∆CT method to analyze the real-time PCR data.
3) The webinar provides examples of using the arrays to analyze miRNA expression differences between normal lung tissue and lung tumors, and in serum miRNA experiments.
The document describes RT2 miRNA PCR Arrays from SABiosciences for analyzing microRNA (miRNA) expression. Key points:
Relative Detection
(% perfect match)
1) The system allows simultaneous detection of over 700 miRNAs representing most functional human miRNAs.
hsa-miR-10a
hsa-miR-10b
100
0.01
2) It uses a universal polyadenylation and reverse transcription approach followed by SYBR Green-based real-time PCR, offering improved sensitivity, specificity, and reproducibility over other methods.
hsa-miR-10a
hsa-miR-10b
0.01
Functional Analysis of miRNA: miRNA and its Role in Human Disease Webinar Ser...QIAGEN
This slideshow highlights the use of miRNA mimics, inhibitors and target protectors to increase, decrease and adjust the cellular concentration of miRNA and disrupt specific miRNA–mRNA interactions. A ready-to-use screening tool for identifying miRNA targets and info on how to predict mRNA targets using miRNA expression data are also highlighted.
Similar to Inference of gene expression regulation by miRNA using MiRaGE method (20)
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4. miRNA target gene list
Gene8
Gene7
Gene6
Gene5
Gene4
Gene3
Gene2
Gene1
simple seed match
(Virtual)
miRNA1 ○×○○○○××
miRNA2 ○×○○××○○
Prediction miRNA3 ×○○×○○××
miRNA4 ○○○×○○××
VS
Human lung cancer
Murine medulloblastoma
gene1 Murine ES cell
gene2 miRNA1
Real
gene3
4
5. Control Treated
Gather the information of miRNA targets
Compare the expressions of targets for each
miRNAs (see Next Slides)
Calculate False Discovery Rate
Generate ranking
5
6. MiRaG
miRNA Targets E Down Pvalue FDR
miRa 54 3 0.5 0.4
miRb 120 54 0.0001 0.005
miRc 36 1 0.5 0.7
... ... ... ... ...
miRX 60 18 0.001 0.007
Reject miRa & c because the FDR > 0.05
Filtrate with miRNA expression profiles
Ranking 6
15. selected by
miRNA miRNA expression / MiRaGE
miRNA P30<MB
1 mmu-miR-25 1 1
target gene P30>MB
2 m m u-m iR-466i-5p 1 1
3 mmu-miR-92a 0.75 1
4 mmu-miR-19a 1 0.69 miR17~92 cluster family
5 mmu-miR-19b 1 0.69 members are ranked in top 5
members
6 m m u-m iR-3082-5p 1 0.56 by combination of MiRaGE
7 m m u-m iR-130a 1 0.5 methods and miRNA
8 m m u-m iR-130b 1 0.5 expression profiling.
9 m m u-m iR-15b 1 0.5
10 m m u-m iR-2861 1 0.5
11 m m u-m iR-3096-5p 1 0.5
12 m m u-m iR-32 0.5 1
13 m m u-m iR-322 1 0.5
14 m m u-m iR-721 1 0.5
15 m m u-m iR-149* 0.5 0.88
16 m m u-m iR-3081* 1 0.38
17 m m u-m iR-574-5p 1 0.31
18 m m u-m iR-669n 0.5 0.81 suggested contribution to
15
19 m m u-m iR-1187 1 0.25
cancer formation
16. selected by
miRNA P30>MB
miRNA miRNA expression / MiRaGE
m m u-m iR-100 1 1
target gene P30<MB
m m u-m iR-126-3p 1 1
mmu-miR-29c 1 1 Some of the neuron
mmu-miR-376a 1 1 specific miRNAs and
specific miRNA
m m u-m iR-451 1 1 tumorsuppressive
m m u-m iR-99b 1 1 miRNAs seem to contribute
miRNAs
m m u-m iR-136* 1 0.9375
to the gene expression
m m u-m iR-299* 0.75 1
profiles of P30.
mmu-miR-26a 1 0.5
mmu-miR-26b 1 0.5
mmu-miR-29a 0.5 1
mmu-miR-7a-1* 1 0.5
m m u-m iR-3107 1 0.4375
m m u-m iR-340-5p 1 0.3125
m m u-m iR-369-5p 1 0.3125
mmu-let-7a 1 0.25
tumorsuppressive miRNAs
mmu-let-7e 1 0.25
mmu-let-7g 1 0.25 neuronspecific miRNAs
16
mmu-let-7i 1 0.25
17. selected by
miRNA miRNA expression / MiRaGE
miRNA P30<P6
1 mmu-miR-106b 1.00 1.00
target gene P30>P6
2 m m u-m iR-130a 1.00 1.00
3 m m u-m iR-130b 1.00 1.00
4 m m u-m iR-15b 1.00 1.00 miR17~92, mir106b
5 mmu-miR-17 1.00 1.00 25,mir106a363
6 mmu-miR-20a 1.00 1.00 cluster family members are
7 mmu-miR-20b 1.00 1.00 ranked in top 5 by
8 m m u-m iR-301b 1.00 1.00 combination of MiRaGE
9 m m u-m iR-322 1.00 1.00 methods and miRNA
10 m m u-m iR-721 1.00 1.00 expression profiling.
11 mmu-miR-93 1.00 1.00
12 m m u-m iR-542-3p 1.00 0.94
13 m m u-m iR-3081* 1.00 0.88
14 m m u-m iR-335-3p 1.00 0.88
15 m m u-m iR-199a-5p 1.00 0.81
16 m m u-m iR-199b* 1.00 0.81
17 mmu-miR-19a 1.00 0.81
17
18 mmu-miR-1 9 b 1.00 0.81
18. selected by
miRNA miRNA expression / MiRaGE miRNA P30>P6
m m u-m iR-29c 1.00 1.00 target gene P30<P6
mmu-miR-376a 1.00 1.00
m m u-m iR-451 1.00 1.00
Some of the neuron
mmu-let-7b 1.00 0.94
specific miRNAs and
specific miRNA
mmu-let-7e 1.00 0.94
tumorsuppressive
mmu-let-7g 1.00 0.94
miRNAs seem to contribute
miRNAs
mmu-let-7i 1.00 0.94
m m u-m iR-98 1.00 0.94
to the gene expression
profiles of P30.
m m u-m iR-126-3p 0.75 1.00
m m u-m iR-299* 0.75 1.00
m m u-m iR-29a 0.75 1.00
mmu-let-7a 0.75 0.94
m m u-m iR-3070b-3p 1.00 0.69
m m u-m iR-138 1.00 0.63
m m u-m iR-3107 1.00 0.56
m m u-m iR-181a-1* 0.50 1.00 tumorsuppressive miRNAs
mmu-let-7d 0.50 0.94
neuronspecific miRNAs
18
m m u-m iR-1937b 0.25 1.00
22. m iRNAs
m m u-m iR-200b
ratio
1.00
miRNA ES> Neuronal Cell
>
m m u-m iR-200c (+) 1.00 target gene ES< Neuronal Cell
<
m m u-m iR-23a 1.00
m m u-m iR-23b 1.00
mmu-miR-291a-3p 1.00
mmu-miR-429 1.00
mmu-miR-294 0.98
mmu-miR-295 0.98
m m u-m iR-302a (+) 0.98
m m u-m iR-302b (+) 0.97
m m u-m iR-302d (+) 0.97
m m u-m iR-199a-5p 0.94
m m u-m iR-141 0.69
m m u-m iR-200a 0.69
m m u-m iR-409-3p 0.67
m m u-m iR-369-3p (+) 0.36
m m u-m iR-96 0.11
m m u-m iR-674 0.08
Mallanna, S.K., and Rizzino., A.(2010)
m m u-m iR-467b 0.06