| 1. |
- Akhter, Shirin, et al.
(författare)
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Transcriptome studies of the early cone-setting acrocona mutant provide evidence for a functional conservation of the age-dependent flowering pathway between angiosperms and gymnosperms.
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- All seed plants go through a juvenile period before they initiate seed- and pollen-bearing organs and reproduce. Reproductive phase-change is well characterized in angiosperm model species, but much less well described in gymnosperms. Here, we utilize the early cone-setting acrocona mutant to study reproductive phase change in the conifer Picea abies; a representative of the gymnosperm lineage. The acrocona mutant frequently initiates cone-like structures, called transition shoots, in positions where wild-type P. abies always produces vegetative shoots. By sequence analysis of mRNA and microRNA transcripts, we demonstrate that orthologous components of the Age-dependent flowering pathway are active at the time of cone initiation. We show that a member of the SQUAMOSA BINDING PROTEIN-LIKE (SPL) gene family, PaSPL7, is active in reproductive meristems, whereas a putative negative regulator of PaSPL7, microRNA156 is upregulated in vegetative meristem. By allele-specific assembly, we also identify a short nucleotide polymorphism (SNP) in the miRNA156 binding of PaSPL7. By genotyping a segregating population of inbred acrocona trees, we show a clear co-segregation between the early cone-setting phenotype and trees homozygous for the SNP. Hence, the data presented demonstrate evolutionary conservation of the age-dependent flowering pathway and involvement of this pathway in regulating cone-setting in the conifer P. abies.
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| 2. |
- Bertone, Paul, et al.
(författare)
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Design optimization methods for genomic DNA tiling arrays.
- 2006
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Ingår i: Genome Research. - : Cold Spring Harbor Laboratory. - 1088-9051 .- 1549-5469. ; 16:2, s. 271-281
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Tidskriftsartikel (refereegranskat)abstract
- A recent development in microarray research entails the unbiased coverage, or tiling, of genomic DNA for the large-scale identification of transcribed sequences and regulatory elements. A central issue in designing tiling arrays is that of arriving at a single-copy tile path, as significant sequence cross-hybridization can result from the presence of non-unique probes on the array. Due to the fragmentation of genomic DNA caused by the widespread distribution of repetitive elements, the problem of obtaining adequate sequence coverage increases with the sizes of subsequence tiles that are to be included in the design. This becomes increasingly problematic when considering complex eukaryotic genomes that contain many thousands of interspersed repeats. The general problem of sequence tiling can be framed as finding an optimal partitioning of non-repetitive subsequences over a prescribed range of tile sizes, on a DNA sequence comprising repetitive and non-repetitive regions. Exact solutions to the tiling problem become computationally infeasible when applied to large genomes, but successive optimizations are developed that allow their practical implementation. These include an efficient method for determining the degree of similarity of many oligonucleotide sequences over large genomes, and two algorithms for finding an optimal tile path composed of longer sequence tiles. The first algorithm, a dynamic programming approach, finds an optimal tiling in linear time and space; the second applies a heuristic search to reduce the space complexity to a constant requirement. A Web resource has also been developed, accessible at http://tiling.gersteinlab.org, to generate optimal tile paths from user-provided DNA sequences.
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| 3. |
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| 4. |
- Emanuelsson, Olof, et al.
(författare)
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Assessing the performance of different high-density tiling microarray strategies for mapping transcribed regions of the human genome.
- 2007
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Ingår i: Genome Research. - : Cold Spring Harbor Laboratory. - 1088-9051 .- 1549-5469. ; 17:6, s. 886-897
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Tidskriftsartikel (refereegranskat)abstract
- Genomic tiling microarrays have become a popular tool for interrogating the transcriptional activity of large regions of the genome in an unbiased fashion. There are several key parameters associated with each tiling experiment (e.g., experimental protocols and genomic tiling density). Here, we assess the role of these parameters as they are manifest in different tiling-array platforms used for transcription mapping. First, we analyze how a number of published tiling-array experiments agree with established gene annotation on human chromosome 22. We observe that the transcription detected from high-density arrays correlates substantially better with annotation than that from other array types. Next, we analyze the transcription-mapping performance of the two main high-density oligonucleotide array platforms in the ENCODE regions of the human genome. We hybridize identical biological samples and develop several ways of scoring the arrays and segmenting the genome into transcribed and nontranscribed regions, with the aim of making the platforms most comparable to each other. Finally, we develop a platform comparison approach based on agreement with known annotation. Overall, we find that the performance improves with more data points per locus, coupled with statistical scoring approaches that properly take advantage of this, where this larger number of data points arises from higher genomic tiling density and the use of replicate arrays and mismatches. While we do find significant differences in the performance of the two high-density platforms, we also find that they complement each other to some extent. Finally, our experiments reveal a significant amount of novel transcription outside of known genes, and an appreciable sample of this was validated by independent experiments.
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| 5. |
- Emanuelsson, Olof, et al.
(författare)
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ChloroP, a neural network-based method for predicting chloroplast transit peptides and their cleavage sites.
- 1999
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Ingår i: Protein Science. - : Wiley. - 0961-8368 .- 1469-896X. ; 8:5, s. 978-984
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Tidskriftsartikel (refereegranskat)abstract
- We present a neural network based method (ChloroP) for identifying chloroplast transit peptides and their cleavage sites. Using cross-validation, 88% of the sequences in our homology reduced training set were correctly classified as transit peptides or nontransit peptides. This performance level is well above that of the publicly available chloroplast localization predictor PSORT. Cleavage sites are predicted using a scoring matrix derived by an automatic motif-finding algorithm. Approximately 60% of the known cleavage sites in our sequence collection were predicted to within +/-2 residues from the cleavage sites given in SWISS-PROT. An analysis of 715 Arabidopsis thaliana sequences from SWISS-PROT suggests that the ChloroP method should be useful for the identification of putative transit peptides in genome-wide sequence data. The ChloroP predictor is available as a web-server at http://www.cbs.dtu.dk/services/ChloroP/.
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| 6. |
- Emanuelsson, Olof, et al.
(författare)
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In silico prediction of the peroxisomal proteome in fungi, plants and animals.
- 2003
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Ingår i: Journal of Molecular Biology. - 0022-2836 .- 1089-8638. ; 330:2, s. 443-456
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Tidskriftsartikel (refereegranskat)abstract
- In an attempt to improve our abilities to predict peroxisomal proteins, we have combined machine-learning techniques for analyzing peroxisomal targeting signals (PTS1) with domain-based cross-species comparisons between eight eukaryotic genomes. Our results indicate that this combined approach has a significantly higher specificity than earlier attempts to predict peroxisomal localization, without a loss in sensitivity. This allowed us to predict 430 peroxisomal proteins that almost completely lack a localization annotation. These proteins can be grouped into 29 families covering most of the known steps in all known peroxisomal pathways. In general, plants have the highest number of predicted peroxisomal proteins, and fungi the smallest number.
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| 7. |
- Emanuelsson, Olof, et al.
(författare)
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Locating proteins in the cell using TargetP, SignalP and related tools.
- 2007
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Ingår i: Nature Protocols. - : Springer Science and Business Media LLC. - 1754-2189 .- 1750-2799. ; 2:4, s. 953-971
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Tidskriftsartikel (refereegranskat)abstract
- Determining the subcellular localization of a protein is an important first step toward understanding its function. Here, we describe the properties of three well-known N-terminal sequence motifs directing proteins to the secretory pathway, mitochondria and chloroplasts, and sketch a brief history of methods to predict subcellular localization based on these sorting signals and other sequence properties. We then outline how to use a number of internet-accessible tools to arrive at a reliable subcellular localization prediction for eukaryotic and prokaryotic proteins. In particular, we provide detailed step-by-step instructions for the coupled use of the amino-acid sequence-based predictors TargetP, SignalP, ChloroP and TMHMM, which are all hosted at the Center for Biological Sequence Analysis, Technical University of Denmark. In addition, we describe and provide web references to other useful subcellular localization predictors. Finally, we discuss predictive performance measures in general and the performance of TargetP and SignalP in particular.
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| 8. |
- Emanuelsson, Olof
(författare)
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Predicting protein subcellular localisation from amino acid sequence information.
- 2002
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Ingår i: Briefings in Bioinformatics. - 1467-5463 .- 1477-4054. ; 3:4, s. 361-76
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Tidskriftsartikel (refereegranskat)abstract
- Predicting the subcellular localisation of proteins is an important part of the elucidation of their functions and interactions. Here, the amino acid sequence motifs that direct proteins to their proper subcellular compartment are surveyed, different methods for localisation prediction are discussed, and some benchmarks for the more commonly used predictors are presented.
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| 9. |
- Emanuelsson, Olof, et al.
(författare)
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Predicting subcellular localization of proteins based on their N-terminal amino acid sequence.
- 2000
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Ingår i: Journal of Molecular Biology. - : Elsevier BV. - 0022-2836 .- 1089-8638. ; 300:4, s. 1005-1016
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Tidskriftsartikel (refereegranskat)abstract
- A neural network-based tool, TargetP, for large-scale subcellular location prediction of newly identified proteins has been developed. Using N-terminal sequence information only, it discriminates between proteins destined for the mitochondrion, the chloroplast, the secretory pathway, and "other" localizations with a success rate of 85% (plant) or 90% (non-plant) on redundancy-reduced test sets. From a TargetP analysis of the recently sequenced Arabidopsis thaliana chromosomes 2 and 4 and the Ensembl Homo sapiens protein set, we estimate that 10% of all plant proteins are mitochondrial and 14% chloroplastic, and that the abundance of secretory proteins, in both Arabidopsis and Homo, is around 10%. TargetP also predicts cleavage sites with levels of correctly predicted sites ranging from approximately 40% to 50% (chloroplastic and mitochondrial presequences) to above 70% (secretory signal peptides). TargetP is available as a web-server at http://www.cbs.dtu.dk/services/TargetP/.
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| 10. |
- Emanuelsson, Olof, et al.
(författare)
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Prediction of organellar targeting signals.
- 2001
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Ingår i: Biochimica et Biophysica Acta. Molecular Cell Research. - 0167-4889 .- 1879-2596. ; 1541:1-2, s. 114-119
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Tidskriftsartikel (refereegranskat)abstract
- The subcellular location of a protein is an important characteristic with functional implications, and hence the problem of predicting subcellular localization from the amino acid sequence has received a fair amount of attention from the bioinformatics community. This review attempts to summarize the present state of the art in the field.
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