http://genome.cshlp.org/content/3/5/272.abstract?sid=3910ac8d-5e4c-46f2-b7ef-d374fc02a5e9
Thursday, December 24, 2009
RNA associated with a heterodimeric protein that activates a meiotic homologous recombination hot spot: RL/RT/PCR strategy for cloning any unknown RNA
MicroRNAs and other small RNAs enriched in the Arabidopsis RNA-dependent RNA polymerase-2 mutant
http://genome.cshlp.org/content/16/10/1276.abstract?sid=3910ac8d-5e4c-46f2-b7ef-d374fc02a5e9
Genomic localization of RNA binding proteins reveals links between pre-mRNA processing and transcription
Pre-mRNA processing often occurs in coordination with transcription thereby coupling these two key regulatory events. As such, many proteins involved in mRNA processing associate with the transcriptional machinery and are in proximity to DNA. This proximity allows for the mapping of the genomic associations of RNA binding proteins by chromatin immunoprecipitation (ChIP) as a way of determining their sites of action on the encoded mRNA. Here, we used ChIP combined with high-density microarrays to localize on the human genome three functionally distinct RNA binding proteins: the splicing factor polypyrimidine tract binding protein (PTBP1/hnRNP I), the mRNA export factor THO complex subunit 4 (ALY/THOC4), and the 3′ end cleavage stimulation factor 64 kDa (CSTF2). We observed interactions at promoters, internal exons, and 3′ ends of active genes. PTBP1 had biases toward promoters and often coincided with RNA polymerase II (RNA Pol II). The 3′ processing factor, CSTF2, had biases toward 3′ ends but was also observed at promoters. The mRNA processing and export factor, ALY, mapped to some exons but predominantly localized to introns and did not coincide with RNA Pol II. Because the RNA binding proteins did not consistently coincide with RNA Pol II, the data support a processing mechanism driven by reorganization of transcription complexes as opposed to a scanning mechanism. In sum, we present the mapping in mammalian cells of RNA binding proteins across a portion of the genome that provides insight into the transcriptional assembly of RNA–protein complexes.
http://genome.cshlp.org/content/16/7/912.abstract?sid=3910ac8d-5e4c-46f2-b7ef-d374fc02a5e9
Comparative genomics beyond sequence-based alignments: RNA structures in the ENCODE regions
structure directly in any searches for these elements.
http://genome.cshlp.org/content/18/2/242.abstract?sid=3910ac8d-5e4c-46f2-b7ef-d374fc02a5e9
Detection of HCV RNA by the asymmetric gap ligase chain reaction.
The ligase chain reaction (LCR) and the gap ligase chain reaction (gLCR) are exponential amplification techniques for the detection of DNA sequences in a sample. Both techniques depend on the enzyme, DNA ligase, to join adjacent probes annealed to a DNA molecule. However, DNA ligase joins DNA inefficiency on an RNA target. Consequently, LCR and gLCR cannot amplify RNA efficiency. RNA detection methods using LCR or gLCR require a cDNA synthesis step. The carryover of four dNTPs from the cDNA reaction inhibits gLCR. Although LCR can use cDNA reaction products directly, background generated by blunt-end ligation does not allow the high sensitivity typically needed for HIV or HCV detection. The asymmetric gap ligase chain reaction (AGLCR) is a modification of gLCR that allows for the detection of RNA by using < or =" 3" class="search-term-highlight">RNA transcript can be reproducibly detected. HCV, an RNA virus with no DNA intermediate, was chosen as the initial RNA model system. HCV antibody-positive and normal samples were analyzed, and the results were found to correlate with the results obtained using nested RNA-PCR. AGLCR provides a new nucleic acid amplification technique that can aid in the diagnosis of disease when the detection of RNA is critical.
http://genome.cshlp.org/content/4/2/80.abstract?sid=3910ac8d-5e4c-46f2-b7ef-d374fc02a5e9
The evolution of genome compression and genomic novelty in RNA viruses
The genomes of RNA viruses are characterized by their extremely small size and extremely high mutation rates (typically 10 kb and 10−4/base/replication cycle, respectively), traits that are thought to be causally linked. One aspect of their small size is the genome compression caused by the use of overlapping genes (where some nucleotides code for two genes). Using a comparative analysis of all known RNA viral species, we show that viruses with larger genomes tend to have less gene overlap. We provide a numerical model to show how a high mutation rate could lead to gene overlap, and we discuss the factors that might explain the observed relationship between gene overlap and genome size. We also propose a model for the evolution of gene overlap based on the co-opting of previously unused ORFs, which gives rise to two types of overlap: (1) the creation of novel genes inside older genes, predominantly via +1 frameshifts, and (2) the incremental increase in overlap between originally contiguous genes, with no frameshift preference. Both types of overlap are viewed as the creation of genomic novelty under pressure for genome compression. Simulations based on our model generate the empirical size distributions of overlaps and explain the observed frameshift preferences. We suggest that RNA viruses are a good model system for the investigation of general evolutionary relationship between genome attributes such as mutational robustness, mutation rate, and size.
Functionality or transcriptional noise? Evidence for selection within long noncoding RNAs
Long transcripts that do not encode protein have only rarely been the subject of experimental scrutiny. Presumably, this is owing to the current lack of evidence of their functionality, thereby leaving an impression that, instead, they represent “transcriptional noise.” Here, we describe an analysis of 3122 long and full-length, noncoding RNAs (“macroRNAs”) from the mouse, and compare their sequences and their promoters with orthologous sequence from human and from rat. We considered three independent signatures of purifying selection related to substitutions, sequence insertions and deletions, and splicing. We find that the evolution of the set of noncoding RNAs is not consistent with neutralist explanations. Rather, our results indicate that purifying selection has acted on the macroRNAs’ promoters, primary sequence, and consensus splice site motifs. Promoters have experienced the greatest elimination of nucleotide substitutions, insertions, and deletions. The proportion of conserved sequence (4.1%–5.5%) in these macroRNAs is comparable to the density of exons within protein-coding transcripts (5.2%). These macroRNAs, taken together, thus possess the imprint of purifying selection, thereby indicating their functionality. Our findings should now provide an incentive for the experimental investigation of these macroRNAs’ functions.
http://genome.cshlp.org/content/17/5/556.abstract?sid=3910ac8d-5e4c-46f2-b7ef-d374fc02a5e9
An improved method for the detection of hepatitis C virus RNA in plasma utilizing heminested primers and internal control RNA.
The majority of transfusion-associated, non-A, non-B hepatitis cases are caused by hepatitis C virus (HCV), a positive-stranded RNA virus. Although high titers of HCV in clinical specimens have been reported, in some cases extremely low titers of virus are not uncommon. Therefore, an extremely sensitive and reliable assay is required to determine viremia and replication of HCV accurately. We report here the systematic investigation of factors influencing the detection of HCV RNA by a reverse transcription-polymerase chain reaction (RT-PCR) assay utilizing "drop in-drop out" heminested primers derived from the conserved 5' non-coding region of the viral genome. A genetically engineered 5' noncoding region has been constructed and used as an internal control. Addition of the control RNA to each test not only allowed semiquantitation of positive reactions but also validated the performance of reverse transcription and PCR for every specimen. The optimized heminested PCR (HN-PCR) protocol is capable of amplifying one molecule of cloned HCV DNA or 10 molecules of in vitro-transcribed HCV RNA to levels detectable in ethidium bromide-stained agarose gels. We evaluated the improved method for the detection of HCV RNA on a human plasma sample containing the pedigreed strain H of HCV with a chimpanzee infectious dose of 10(6)/ml. Utilizing the internal control RNA, we calculated 2 x 10(7) virions in 1 ml of the original human plasma. The HN-PCR achieves the sensitivity and specificity of the double-nested PCR (DN-PCR) in a simplified format that avoids the false-positive results associated with DN-PCR.
Source -
http://genome.cshlp.org/content/2/3/241.abstract?sid=3910ac8d-5e4c-46f2-b7ef-d374fc02a5e9
Tuesday, December 15, 2009
Gene Expression and RNA Splicing
In higher eukaryotes, splicing constitutes a critical mode for the regulation of gene expression at the level of RNA processing. The large majority of eukaryotic protein-coding genes are transcribed as precursors of messenger RNAs (pre-mRNAs), in which exons are separated from each other by intervening regions of non-protein–coding information (introns), which have to be correctly spliced out to produce a mature mRNA. Splicing of pre-mRNAs occurs in a two-step reaction. In the first step, the message is cleaved at the 5′ end of an intron, and this 5′ end is linked to the branch point, which is typically in close proximity upstream of the 3′ end of the intron. In the second step, the mRNA intermediate is cleaved at the 3′ splice site (3′ss), exons are ligated, and the intron lariat is released. During later stages of spliceosome assembly, the 5′ss and 3′ss pair and interact (typically across the exon, but pairing across an intron can occur), supported by general and specific splicing factors that recognize them. Typical mammalian genes span tens of thousands of nucleotides, with on average nine exons and protein-coding regions on the order of a thousand nucleotides, thus embedding “exon islands” within a large “sea” of noncoding nucleotides that have to be accurately recognized for correct splicing and exon ligation. This important task is executed in the nucleus by the spliceosome, a large ribonucleoprotein (RNP) complex that involves five small nuclear RNAs and potentially hundreds of proteins, the core components of which are highly conserved across metazoan genomes
Genome-wide mapping of alternative splicing
Source - http://genome.cshlp.org/content/early/2009/11/18/gr.093302.109.abstract
Splice Site Analysis Tool Analysis
In-silico splice site prediction tools can be used to predict the effect of a genetic variant on splicing. A large number of prediction tools are currently available but only small scale analyses studies of these algorithms have been carried out. The UV guidelines provided by the CMGS suggest several splice site prediction algorithms, but the performance of these algorithms have not previously been formally assessed and may give divergent results. The splice site tool analysis performed by NGRL Manchester aims to provide a reliable assessment of the performance of these algorithms in the prediction of splicing-related variant pathogenicity. It also assesses the scope of the splice-site prediction tools to ensure that they can be used in the most appropriate way and the report shows scientists how to use splice site prediction tools in the prediction of pathogenesis with more confidence.
The report describes the assessment of six of the most common donor and acceptor prediction algorithms for their ability to predict the pathogenicity of splice site variants. In each algorithm the splice signal given by the wild type sequence is compared to the splice site signal given by a mutated sequence supplied by the user.
We conclude that the four algorithms used in Alamut were shown to have a high degree of accuracy and users can be confident in the safe interpretation of these results, while only one of the four algorithms cannot be used though a standalone web interface.
The range of splice site signal strength predictions given by the algorithms was determined by the position of the variant. Variants found between +7 and -10 from the splice site junction show a reduction in splicing predicted by the algorithms and it is in this range that the algorithms are likely to be the most useful.
Centromere RNA is a key component for the assembly of nucleoproteins at the nucleolus and centromere
Source - http://genome.cshlp.org/content/17/8/1146.abstract?sid=4be18750-d5af-4896-b05e-eeb49c944425
Genomic localization of RNA binding proteins reveals links between pre-mRNA processing and transcription
Source - http://genome.cshlp.org/content/16/7/912.abstract?sid=4be18750-d5af-4896-b05e-eeb49c944425
The Largest Subunit of Human RNA Polymerase III Is Closely Related to the Largest Subunit of Yeast and Trypanosome RNA Polymerase III
Source - http://genome.cshlp.org/content/7/10/1006.abstract?sid=4be18750-d5af-4896-b05e-eeb49c944425
Comparative analysis of the small RNA transcriptomes of Pinus contorta and Oryza sativa
Source - http://genome.cshlp.org/content/18/4/571.abstract?sid=4be18750-d5af-4896-b05e-eeb49c944425
Clusters and superclusters of phased small RNAs in the developing inflorescence of rice
Source - http://genome.cshlp.org/content/19/8/1429.abstract?sid=4be18750-d5af-4896-b05e-eeb49c944425
MicroRNAs and other small RNAs enriched in the Arabidopsis RNA-dependent RNA polymerase-2 mutant
Source - http://genome.cshlp.org/content/16/10/1276.abstract?sid=4be18750-d5af-4896-b05e-eeb49c944425
A survey of RNA editing in human brain
Source - http://genome.cshlp.org/content/14/12/2379.abstract?sid=4be18750-d5af-4896-b05e-eeb49c944425
Abundant and dynamically expressed miRNAs, piRNAs, and other small RNAs in the vertebrate Xenopus tropicalis
Source - http://genome.cshlp.org/content/19/10/1766.abstract?sid=4be18750-d5af-4896-b05e-eeb49c944425
Analysis of the 5S RNA Pool in Arabidopsis thaliana: RNAs Are Heterogeneous and Only Two of the Genomic 5S Loci Produce Mature 5S RNA
Source - http://genome.cshlp.org/content/12/1/132.abstract?sid=4be18750-d5af-4896-b05e-eeb49c944425
RNA associated with a heterodimeric protein that activates a meiotic homologous recombination hot spot: RL/RT/PCR strategy for cloning any unknown RNA
Source - http://genome.cshlp.org/content/3/5/272.abstract?sid=4be18750-d5af-4896-b05e-eeb49c944425
Splicing factor SFRS1 recognizes a functionally diverse landscape of RNA transcripts
Source - http://genome.cshlp.org/content/19/3/381.abstract?sid=40206306-7c2e-4b18-96b3-8319fa594a4b
A genomic analysis of RNA polymerase II modification and chromatin architecture related to 3′ end RNA polyadenylation
Source - http://genome.cshlp.org/content/18/8/1224.abstract?sid=40206306-7c2e-4b18-96b3-8319fa594a4b
Genome-wide discovery and verification of novel structured RNAs in Plasmodium falciparum
Source - http://genome.cshlp.org/content/18/2/281.abstract?sid=40206306-7c2e-4b18-96b3-8319fa594a4b
Simultaneous detection of DNA and RNA by differential polymerase chain reaction (DIFF-PCR).
Source - http://genome.cshlp.org/content/3/1/23.abstract?sid=40206306-7c2e-4b18-96b3-8319fa594a4b
Selective RNA amplification: a novel method using dUMP-containing primers and uracil DNA glycosylase.
Source - http://genome.cshlp.org/content/3/1/28.abstract?sid=40206306-7c2e-4b18-96b3-8319fa594a4b
An improved method for the detection of hepatitis C virus RNA in plasma utilizing heminested primers and internal control RNA.
Source - http://genome.cshlp.org/content/2/3/241.abstract?sid=40206306-7c2e-4b18-96b3-8319fa594a4b
Genome-wide identification and analysis of small RNAs originated from natural antisense transcripts in Oryza sativa
Source - http://genome.cshlp.org/content/19/1/70.abstract?sid=40206306-7c2e-4b18-96b3-8319fa594a4b
Detection of HCV RNA by the asymmetric gap ligase chain reaction.
Source - http://genome.cshlp.org/content/4/2/80.abstract?sid=40206306-7c2e-4b18-96b3-8319fa594a4b
Mouse let-7 miRNA populations exhibit RNA editing that is constrained in the 5′-seed/ cleavage/anchor regions and stabilize predicted mmu-let-7a:mRNA
Source - http://genome.cshlp.org/content/18/10/1571.abstract?sid=40206306-7c2e-4b18-96b3-8319fa594a4b
Researchers unravel the mysteries of DNA packaging
The RNA “spools” that make up DNA in our genes need careful editing, too. Genes are composed of meaningful sequences, called exons, separated by meaningless junk sections called introns. In order for cells to produce RNA — the material that is required to create proteins that are vital for life — they must precisely remove meaningless introns and bind meaningful exons together, a process called “splicing.”
How cells differentiate between what’s useful and what’s garbage in our complicated and messy genetic code is a fundamental biology question — one with extremely important implications. Now, Prof. Gil Ast and his doctoral student Schraga Schwartz at the Sackler School of Medicine at
Their groundbreaking findings, recently published in Nature Structural and Molecular Biology, reveal a new mechanism to explain how splicing works. They’ve discovered that the structure of DNA itself affects the ways RNA is spliced. “These findings,” says Prof. Ast, “will bring us closer to understanding diseases like cystic fibrosis and certain forms of cancer that result from our cells’ failure to edit sequences properly.”
Rewriting textbook science on DNA
Until now, how RNA was “edited” to fit together has been a mystery. The TAU revelations provide important information about creating proteins, and give new clues to drug developers to better understand how diseases such as cancer and genetic disorders operate at the gene level. That insight can offer significant new cellular mechanisms to create innovative drug therapies.
“We’ve found something previously unknown,” Prof. Ast explains. “At the DNA level, exons are packaged differently than introns. This fact is significant, telling us a process of gene expression is taking place at an earlier step than previously believed.” …
Source - http://xenophilius.wordpress.com/2009/12/15/researchers-unravel-the-mysteries-of-dna-packaging/