Search results for "sequencing"

showing 10 items of 1087 documents

Identification of Stress Associated microRNAs in

2019

Tomato (Solanum lycopersicum) is one of the most important crops around the world and also a model plant to study response to stress. High-throughput sequencing was used to analyse the microRNA (miRNA) profile of tomato plants undergoing five biotic and abiotic stress conditions (drought, heat, P. syringae infection, B. cinerea infection, and herbivore insect attack with Leptinotarsa decemlineata larvae) and one chemical treatment with a plant defence inducer, hexanoic acid. We identified 104 conserved miRNAs belonging to 37 families and we predicted 61 novel tomato miRNAs. Among those 165 miRNAs, 41 were stress-responsive. Reverse transcription quantitative PCR (RT-qPCR) was used to valida…

biotic and abiotic stress responsefungifood and beveragesHigh-Throughput Nucleotide Sequencinghigh-throughput sequencingbehavioral disciplines and activitiesArticledifferential expressionDroughtsMicroRNAsSolanum lycopersicumGene Expression Regulation PlantStress PhysiologicalmiRNAshexanoic acidmiRNA targetsPlant ProteinsGenes
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Automated quality control of next generation sequencing data using machine learning

2019

AbstractControlling quality of next generation sequencing (NGS) data files is a necessary but complex task. To address this problem, we statistically characterized common NGS quality features and developed a novel quality control procedure involving tree-based and deep learning classification algorithms. Predictive models, validated on internal data and external disease diagnostic datasets, are to some extent generalizable to data from unseen species. The derived statistical guidelines and predictive models represent a valuable resource for users of NGS data to better understand quality issues and perform automatic quality control. Our guidelines and software are available at the following …

business.industryComputer sciencemedia_common.quotation_subjectDeep learningMachine learningcomputer.software_genreDNA sequencingStatistical classificationTree (data structure)Task (computing)SoftwareResource (project management)Data fileQuality (business)Artificial intelligencebusinesscomputermedia_common
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Instruction of haematopoietic lineage choices, evolution of transcriptional landscapes and cancer stem cell hierarchies derived from an AML1-ETO mous…

2013

The t(8;21) chromosomal translocation activates aberrant expression of the AML1-ETO (AE) fusion protein and is commonly associated with core binding factor acute myeloid leukaemia (CBF AML). Combining a conditional mouse model that closely resembles the slow evolution and the mosaic AE expression pattern of human t(8;21) CBF AML with global transcriptome sequencing, we find that disease progression was characterized by two principal pathogenic mechanisms. Initially, AE expression modified the lineage potential of haematopoietic stem cells (HSCs), resulting in the selective expansion of the myeloid compartment at the expense of normal erythro- and lymphopoiesis. This lineage skewing was foll…

cancer stem cellsCancer stem cells; Core binding factor acute myeloid leukaemia; Preclinical mouse model; Therapy target validation; Whole transcriptome sequencingMyeloidtherapy target validationOncogene Proteins FusionCloseupsBiologyGranulocyte-Macrophage Progenitor CellsTranslocation Geneticwhole transcriptome sequencingImmunophenotypingMiceGranulocyte-Macrophage Progenitor CellsCancer stem cellhemic and lymphatic diseasesmedicineAML1-ETOAnimalsCell Lineageacute myeloid leukaemiaLymphopoiesisProgenitor cellt(8;21)Research Articlespreclinical mouse modelGeneticsRegulation of gene expressionAntibiotics AntineoplasticSequence Analysis RNAcore binding factor acute myeloid leukaemiainducible mouse-modelHematopoietic Stem CellsMice Inbred C57BLDisease Models AnimalLeukemia Myeloid AcuteHaematopoiesisPhenotypemedicine.anatomical_structureGene Expression RegulationDoxorubicinCancer researchNeoplastic Stem CellsMolecular MedicineStem cell
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Mapping of 7-methylguanosine (m7G), 3-methylcytidine (m3C), dihydrouridine (D) and 5-hydroxycytidine (ho5C) RNA modifications by AlkAniline-Seq

2021

Precise and reliable mapping of modified nucleotides in RNA is a challenging task in epitranscriptomics analysis. Only deep sequencing-based methods are able to provide both, a single-nucleotide resolution and sufficient selectivity and sensitivity. A number of protocols employing specific chemical reagents to distinguish modified RNA nucleotides from canonical parental residues have already proven their performance. We developed a deep-sequencing analytical pipeline for simultaneous detection of several modified nucleotides of different nature (methylation, hydroxylation, reduction) in RNA. The AlkAniline-Seq protocol uses intrinsic fragility of the N-glycosidic bond present in certain mod…

chemistry.chemical_classification0303 health sciences7-Methylguanosine030302 biochemistry & molecular biologyRNA[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyRibosomal RNADeep sequencing03 medical and health scienceschemistry.chemical_compoundchemistryBiochemistryEpitranscriptomics[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]Transfer RNANucleotideDihydrouridineComputingMilieux_MISCELLANEOUS030304 developmental biology
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Analysis of pseudouridines and other RNA modifications using hydraPsiSeq protocol

2021

Detection of RNA modified nucleotides using deep sequencing can be performed by several approaches, including antibody-driven enrichment and natural or chemically induced RT signatures. However, only very few RNA modified nucleotides generate natural RT signatures and antibody-driven enrichment heavily depends on the quality of antibodies used and may be highly biased. Thus, the use of chemically-induced RT signatures is now considered as the most trusted experimental approach. In addition, the use of chemical reagents allows inclusion of simple "mock-treated" controls, to exclude spontaneous RT arrests, SNPs and other misincorporation-prone sites. Hydrazine is a well-known RNA-specific rea…

chemistry.chemical_classification0303 health sciencesNucleotidesSequence Analysis RNAChemistryRNA[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyComputational biologyGeneral Biochemistry Genetics and Molecular BiologyDeep sequencing03 medical and health sciencesHydrazines0302 clinical medicineReagent[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]RNA modificationRNANucleotideRNA Processing Post-TranscriptionalMolecular BiologyPseudouridine030217 neurology & neurosurgeryComputingMilieux_MISCELLANEOUS030304 developmental biology
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Mapping and Quantification of tRNA 2′-O-Methylation by RiboMethSeq

2018

Current development of epitranscriptomics field requires efficient experimental protocols for precise mapping and quantification of various modified nucleotides in RNA. Despite important advances in the field during the last 10 years, this task is still extremely laborious and time-consuming, even when high-throughput analytical approaches are employed. Moreover, only a very limited subset of RNA modifications can be detected and only rarely be quantified by these powerful techniques. In the past, we developed and successfully applied alkaline fragmentation-based RiboMethSeq approach for mapping and precise quantification of multiple 2'-O-methylation residues in ribosomal RNA. Here we descr…

chemistry.chemical_classification0303 health sciencesTRNA modificationChemistry2'-O-methylationRNA[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyComputational biologyRibosomal RNADNA sequencing03 medical and health sciences0302 clinical medicine030220 oncology & carcinogenesisEpitranscriptomics[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]Transfer RNANucleotideComputingMilieux_MISCELLANEOUS030304 developmental biology
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AlkAniline-Seq: A Highly Sensitive and Specific Method for Simultaneous Mapping of 7-Methyl-guanosine (m7G) and 3-Methyl-cytosine (m3C) in RNAs by Hi…

2021

Epitranscriptomics is an emerging field where the development of high-throughput analytical technologies is essential to profile the dynamics of RNA modifications under different conditions. Despite important advances during the last 10 years, the number of RNA modifications detectable by next-generation sequencing is restricted to a very limited subset. Here, we describe a highly efficient and fast method called AlkAniline-Seq to map simultaneously two different RNA modifications: 7-methyl-guanosine (m7G) and 3-methyl-cytosine (m3C) in RNA. Our protocol is based on three subsequent chemical/enzymatic steps allowing the enrichment of RNA fragments ending at position n + 1 to the modified nu…

chemistry.chemical_classification0303 health sciencesbiologyGuanosineRNA[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyComputational biologybiology.organism_classificationYeastDNA sequencing03 medical and health scienceschemistry.chemical_compound0302 clinical medicineEnzymechemistry[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]EpitranscriptomicsNucleotideComputingMilieux_MISCELLANEOUS030217 neurology & neurosurgeryBacteria030304 developmental biology
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Polypeptide sequence of the chlorophyll a/b/c-binding protein of the prasinophycean alga Mantoniella squamata.

1994

The primary structure of the Chla/b/c-binding protein from Mantoniella squamata is determined. This is the first report that protein sequencing reveals one modified amino acid resulting in a LHCP-specific TFA-cleavage site. The comparison of the sequence of Mantoniella with other Chla/b-and Chla/c-binding proteins shows that the modified amino acid is located in a region which is highly conserved in all these proteins. The alignment also reveals that the LHCP of Mantoniella is related to the Chla/b-binding proteins. Finally, possible Chl-binding regions are discussed.

chemistry.chemical_classificationChlorophyll abiologyBinding proteinProtein primary structureCell BiologyPlant ScienceGeneral Medicinebiology.organism_classificationBiochemistryMolecular biologyAmino acidLight-harvesting complexchemistry.chemical_compoundProtein sequencingBiochemistrychemistryMantoniellaPeptide sequencePhotosynthesis research
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In vivophage display: identification of organ-specific peptides using deep sequencing and differential profiling across tissues

2020

ABSTRACTIn vivophage display is widely used for identification of organ- or disease-specific homing peptides. However, the currentin vivophage biopanning approaches fail to assess biodistribution of specific peptide phages across tissues during the screen, thus necessitating laborious and time-consuming post-screening validation studies on individual peptide phages. Here, we adopted bioinformatics tools used for RNA sequencing for analysis of high throughput sequencing (HTS) data to estimate the representation of individual peptides during biopanningin vivo. The data fromin vivophage screen were analyzed using differential binding – relative representation of each peptide in the target orga…

chemistry.chemical_classificationPhage displaybiologychemistryT7 phageIn vivoPeptideBiopanningComputational biologybiology.organism_classificationDeep sequencingDNA sequencingHoming (hematopoietic)
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A fast algorithm for the exhaustive analysis of 12-nucleotide-long DNA sequences. Applications to human genomics

2004

We have developed a new algorithm that allows the exhaustive determination of words of up to 12 nucleotides in DNA sequences. It is fast enough as to be used at a genomic scale running on a standard personal computer. As an example, we apply the algorithm to compare the number of all 12-nucleotide long words in human chromosomes 21 and 22, each of them more than 33 million nucleotides long. Sequences that are chromosome specific are detected in less than 2 minutes, being analyzed any pair of chromosomes at a rate of 45 millions of nucleotides (45 Mb) per minute. The size of the words is long enough as to allow further analyses of all significant sequences using conventional database searche…

chemistry.chemical_classificationTheoretical computer scienceComputer scienceParallel algorithmChromosomeGenomicsHuman genomicsComputational biologyDNA sequencingchemistry.chemical_compoundchemistryTandem repeatCoding regionAlgorithm designNucleotideGeneDNAProceedings International Parallel and Distributed Processing Symposium
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