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Central to Clustered Regularly Interspaced Short Palindromic Repeat (CRISPR)-Cas systems are repeated RNA sequences that serve as Cas-protein–binding templates. Classification is based on the architectural composition of associated Cas proteins, considering repeat evolution is essential to complete the picture. We compiled the largest data set of CRISPRs to date, performed comprehensive, independent clustering analyses and identified a novel set of 40 conserved sequence families and 33 potential structure motifs for Cas-endoribonucleases with some distinct conservation patterns. Evolutionary relationships are presented as a hierarchical map of sequence and structure similarities for both a quick and detailed insight into the diversity of CRISPR-Cas systems. In a comparison with Cas-subtypes, I-C, I-E, I-F and type II were strongly coupled and the remaining type I and type III subtypes were loosely coupled to repeat and Cas1 evolution, respectively. Subtypes with a strong link to CRISPR evolution were almost exclusive to bacteria; nevertheless, we identified rare examples of potential horizontal transfer of I-C and I-E systems into archaeal organisms. Our easy-to-use web server provides an automated assignment of newly sequenced CRISPRs to our classification system and enables more informed choices on future hypotheses in CRISPR-Cas research: http://rna.informatik.uni-freiburg.de/CRISPRmap.  相似文献   
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The secondary structure of a pre-mRNA influences a number of processing steps including alternative splicing. Since most splicing regulatory proteins bind to single-stranded RNA, the sequestration of RNA into double strands could prevent their binding. Here, we analyzed the secondary structure context of experimentally determined splicing enhancer and silencer motifs in their natural pre-mRNA context. We found that these splicing motifs are significantly more single-stranded than controls. These findings were validated by transfection experiments, where the effect of enhancer or silencer motifs on exon skipping was much more pronounced in single-stranded conformation. We also found that the structural context of predicted splicing motifs is under selection, suggesting a general importance of secondary structures on splicing and adding another level of evolutionary constraints on pre-mRNAs. Our results explain the action of mutations that affect splicing and indicate that the structural context of splicing motifs is part of the mRNA splicing code.  相似文献   
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Conserved segments have been identified by ZOO-FISH between pig chromosome 9 (SSC9) and human chromosomes 1, 7 and 11. To assist in the identification of positional candidate genes for QTL on SSC9, the comparative map was further developed. Primers were designed from porcine EST sequence homologous to genes in regions of human chromosomes 1, 7 and 11. Porcine ESTs were then physically assigned using the INRA somatic cell hybrid panel (INRASCHP) and the high-resolution radiation hybrid panel (IMpRH). Seventeen genes (PEPP3, RAB7L1, FNBP2, MAPKAPK2, GNAI1, ABCB1, STEAP, AKAP9, CYP51A1, SGCE, ROBO4, SIAT4C, GLUL, CACNA1E, PTGS2, C1orf16 and ETS1) were mapped to SSC9, while GUSB, CPSF4 and THG-1 were assigned to SSC3.  相似文献   
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We have identified a novel mammalian gene, termed nicolin 1 gene (NICN1), that is present in human, dog and mouse, whereas it is absent from the available genome sequences of nonmammalian organisms. The NICN1 gene consists of six exons and spans about 6 kb of genomic DNA. It encodes a 213 amino acid protein that does not belong to any known protein family. Experiments using green fluorescent protein (GFP)-tagged nicolin 1 fusion proteins indicate that nicolin 1 is a nuclear protein. Northern analysis and semiquantitative RT-PCR demonstrated that the 2.5 kb NICN1 mRNA is expressed in a tissue-specific manner. The highest NICN1 expression levels are found in brain, testis, liver, and kidney. On the other hand the NICN1 expression is weak in spleen, leukocytes, small intestine and colon. The NICN1 gene is also expressed during development.  相似文献   
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We developed a dynamic programming approach of computing common sequence structure patterns among two RNAs given their primary sequences and their secondary structures. Common patterns between two RNAs are defined to share the same local sequential and structural properties. The locality is based on the connections of nucleotides given by their phosphodiester and hydrogen bonds. The idea of interpreting secondary structures as chains of structure elements leads us to develop an efficient dynamic programming approach in time O(nm) and space O(nm), where n and m are the lengths of the RNAs. The biological motivation is given by detecting common, local regions of RNAs, although they do not necessarily share global sequential and structural properties. This might happen if RNAs fold into different structures but share a lot of local, stable regions. Here, we illustrate our algorithm on Hepatitis C virus internal ribosome entry sites. Our method is useful for detecting and describing local motifs as well. An implementation in C++ is available and can be obtained by contacting one of the authors.  相似文献   
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