Academic literature on the topic 'Chimeric transcripts'
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Journal articles on the topic "Chimeric transcripts"
Lalani, Samir, Sehajroop Gadh, Justin Elfman, Sandeep Singh, and Hui Li. "Abstract 4351: Differential dependency mapping of chimeric RNAs across cancer reveals a new landscape of functional fusion transcripts." Cancer Research 84, no. 6_Supplement (March 22, 2024): 4351. http://dx.doi.org/10.1158/1538-7445.am2024-4351.
Full textRowsell, Joanna, Renata da Silva Camargo, William B. Langdon, Maria A. Stalteri, and Andrew P. Harrison. "Uncovering the expression patterns of chimeric transcripts using surveys of Affymetrix GeneChips." Journal of Integrative Bioinformatics 7, no. 3 (December 1, 2010): 300–330. http://dx.doi.org/10.1515/jib-2010-137.
Full textAmundarain, Ane, Luis Vitores Valcárcel, Raquel Ordoñez, Leire Garate, Estíbaliz Miranda, Xabier Cendoya, Maria Jose Calasanz, et al. "Lncrnas As New Partners of Novel Chimeric Transcripts in Multiple Myeloma." Blood 134, Supplement_1 (November 13, 2019): 4356. http://dx.doi.org/10.1182/blood-2019-122568.
Full textAlterman, R. B., C. Sprecher, R. Graves, W. F. Marzluff, and A. I. Skoultchi. "Regulated expression of a chimeric histone gene introduced into mouse fibroblasts." Molecular and Cellular Biology 5, no. 9 (September 1985): 2316–24. http://dx.doi.org/10.1128/mcb.5.9.2316-2324.1985.
Full textAlterman, R. B., C. Sprecher, R. Graves, W. F. Marzluff, and A. I. Skoultchi. "Regulated expression of a chimeric histone gene introduced into mouse fibroblasts." Molecular and Cellular Biology 5, no. 9 (September 1985): 2316–24. http://dx.doi.org/10.1128/mcb.5.9.2316.
Full textClaxton, DF, P. Liu, HB Hsu, P. Marlton, J. Hester, F. Collins, AB Deisseroth, JD Rowley, and MJ Siciliano. "Detection of fusion transcripts generated by the inversion 16 chromosome in acute myelogenous leukemia." Blood 83, no. 7 (April 1, 1994): 1750–56. http://dx.doi.org/10.1182/blood.v83.7.1750.1750.
Full textClaxton, DF, P. Liu, HB Hsu, P. Marlton, J. Hester, F. Collins, AB Deisseroth, JD Rowley, and MJ Siciliano. "Detection of fusion transcripts generated by the inversion 16 chromosome in acute myelogenous leukemia." Blood 83, no. 7 (April 1, 1994): 1750–56. http://dx.doi.org/10.1182/blood.v83.7.1750.bloodjournal8371750.
Full textFujieda, S., Y. Q. Lin, A. Saxon, and K. Zhang. "Multiple types of chimeric germ-line Ig heavy chain transcripts in human B cells: evidence for trans-splicing of human Ig RNA." Journal of Immunology 157, no. 8 (October 15, 1996): 3450–59. http://dx.doi.org/10.4049/jimmunol.157.8.3450.
Full textZoubek, A., B. Dockhorn-Dworniczak, O. Delattre, H. Christiansen, F. Niggli, I. Gatterer-Menz, T. L. Smith, H. Jürgens, H. Gadner, and H. Kovar. "Does expression of different EWS chimeric transcripts define clinically distinct risk groups of Ewing tumor patients?" Journal of Clinical Oncology 14, no. 4 (April 1996): 1245–51. http://dx.doi.org/10.1200/jco.1996.14.4.1245.
Full textKatsuya, Hiroo, Paola Miyazato, Saiful Islam, Benjy Jek Yang Tan, Yuki Inada, Misaki Matsuo, Takaharu Ueno, et al. "The Presence and Possible Role of Virus-Host Chimeric Transcripts in Adult T-Cell Leukemia-Lymphoma." Blood 134, Supplement_1 (November 13, 2019): 2779. http://dx.doi.org/10.1182/blood-2019-124361.
Full textDissertations / Theses on the topic "Chimeric transcripts"
Xu, Hang. "Investigating the activity of L1 chimeric transcripts in human cancer." Thesis, University of Nottingham, 2016. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.718854.
Full textThomson, Gabrielle Anne Biotechnology & Biomolecular Sciences Faculty of Science UNSW. "Retroelements as controlling elements in mammals." Awarded by:University of New South Wales. Biotechnology and Biomolecular Sciences, 2006. http://handle.unsw.edu.au/1959.4/26203.
Full textHerai, Roberto Hirochi. "Metodologias de bioinformatica para detecção e estudo de sequencias repetitivas em loci genicos de transcritos quimericos." [s.n.], 2010. http://repositorio.unicamp.br/jspui/handle/REPOSIP/317152.
Full textTese (doutorado) - Universidade Estadual de Campinas, Instituto de Biologia
Made available in DSpace on 2018-08-15T17:21:19Z (GMT). No. of bitstreams: 1 Herai_RobertoHirochi_D.pdf: 3625854 bytes, checksum: 3f19d10a9b0bb7f77091197cd302f66e (MD5) Previous issue date: 2010
Resumo: A grande quantidade de dados biológicos gerados recentemente permitiu verificar que os genomas são repletos de seqüências repetitivas (SR), como microsatélites e elementos genéticos móveis, altamente improváveis de ocorrer estatisticamente se os genomas fossem gerados a partir de uma distribuição aleatória de nucleotídeos. Tal comprovação motivou a classificação de tais seqüências e também a construção de diversas ferramentas de bioinformática, além de mecanismos de armazenamento baseados em sistemas de gerenciamento de bancos de dados (SGBD) para permitir localizá-las e armazená-las para posterior estudo. Entretanto, foi com a comprovação biológica da importância das SR, como no mecanismo de interferência por RNAi (SR reversa complementar), que as SR despertaram maior interesse por parte da comunidade científica. Atualmente, já há fortes evidências que associam as SR com fenômenos biológicos bastante interessantes, como o processamento de RNA por cis-splicing e a formação de transcritos quiméricos, freqüentes em organismos inferiores e muito raro em organismos superiores. Tais tipos de transcritos podem ser gerados a partir de trans-splicing ou, como conjecturamos nesse trabalho, pela transposição de elementos genéticos móveis (como por exemplo transposons ou retrotransposons). Em virtude disso, este projeto propõe a construção de metodologias de Bioinformática, disponibilizadas na WEB, para detectar transcritos quiméricos em genomas de organismos, tanto em versões draft ou em alta qualidade, e também estudar as SR que ocorrem no locus gênico dos transcritos envolvidos na formação de uma seqüência quimérica. As ferramentas propostas permitiram identificar, a partir de bibliotecas de transcritos de full-length cDNA, tanto de humanos quanto de bovinos, novos transcritos quiméricos provenientes de células de tecidos normais, e que não seguem splice-sites canônicos na região de fusão dos transcritos envolvidos. Além disso, as seqüências encontradas apresentam uma elevada taxa de concentração de pares de SR do tipo reverso complementar no locus gênico dos dois transcritos que formam a seqüência quimérica. As ferramentas propostas podem ser utilizadas para outros organismos e direcionar trabalhos experimentais para tentar comprovar em bancada novos transcritos quiméricos, tanto em organismos inferiores quanto em superiores
Abstract: The recent availability of a huge amount of biological data allowed to know about the high concentration of repetitive sequences (SR) like microsatellites and genetic mobile elements in different genomes. Repetitive sequences are improbable to occur statistically if genome data were generated by a random distribution of nucleotides. Such observation motivated the classification of repetitive sequences, and the construction of several bioinformatics tools. Furthermore, several mechanisms to store repetitive sequences, which are based on data base management systems (DBMS) were proposed and created. They can be used to search for specific sequences to make a posteriori study. However, it was with the biological confirmation of the importance of repetitive sequences, like by the RNA interference (reverse complement, or inverted repeat) mechanism, that the scientific community gained more interest by such sequences. Actually, there is strong evidence that associates the repetitive sequences with some interesting biological phenomena, like in RNA processing by cis-splicing, and in chimeric transcript formation mechanism. This last one is very frequently in inferior organism, but rare in superior organisms. Such types of transcripts can be generated by trans-splicing, or like conjectured in this work, by the retrotransposition of mobile genetic elements (like transposons or retrotransposons). In this way, this work proposed the construction of several Bioinformatics methodologies, available in the WEB, to detect new evidences of chimeric transcripts in genomes of different organisms, both in draft genome and in high quality genome assemblage. We also studied repetitive sequences in gene loci of the involved transcripts in a chimeric sequence formation. The proposed tools allowed us to identify, using a full-length cDNA databank, new chimeric transcript candidates in human and in bovine genome. They are from cells of normal tissues, and do not follow canonical splice-sites in the fusion region of the involved transcripts. Moreover, it was possible to show that the detected sequences have high concentration pairs of reverse complement type of repetitive sequences in gene loci of the two involved transcripts, which originated a new chimeric transcript candidate. The created bioinformatics tools can be used in other organisms in addition to the one used in this work, leading to the proposition of new experimental work to try to prove in vivo new chimeric transcripts, both in superior organism and in inferior organism
Doutorado
Bioinformatica
Doutor em Genetica e Biologia Molecular
Pinson, Marie-Elisa. "Etude de l'impact de la dérégulation transcriptionnelle liée à des transcrits chimères initiés à partir d'éléments répétés de type LINE-1 dans la tumorigenèse gliale." Thesis, Université Clermont Auvergne (2017-2020), 2017. http://www.theses.fr/2017CLFAS006/document.
Full textLINE-1 (L1) is the most abundant class of retrotransposons which represents 17% of the human genome. The 5’ region of the youngest L1 sub-families (L1PA1 to 6) contains a bidirectional promoter consisting, in addition to the internal sense promoter, of an antisense promoter, called ASP. In normal cells, the main defense mechanism, developed to counteract the deleterious effect of L1 activity, consists in L1 promoter DNA methylation. A hallmark of cancer genomes consists in a global DNA hypomethylation which affects especially L1 promoters. In tumors, evidences suggest that this hypomethylation could result in transcription from ASP of aberrant L1-Chimeric Transcripts (LCTs) composed of L1 5’end and its adjacent sequence. To investigate the pangenomic extent of this transcriptional deregulation and its impact in tumoral processes, a dedicated bioinformatic tool, CLIFinder, was designed to select putative LCTs among RNA-seq oriented paired-end reads. RNA-seq analyses of 13 gliomas, which are the most common brain cancer in adults, and 3 control brains were performed.CLIFinder identifies 2675 chimeras in gliomas, among which 84% involves recent L1 (PA1 to 7) full size, supposed to possess a functional ASP, and 50% are detected specifically in tumors samples. 78 chimeras correspond to LCT already described in literature. In addition, study of additional RNA-seq data from other tumor types (MCF7 and ovarian metastasis) by CLIFinder identifies common chimeras suggesting that some of them can be recurrent. The analysis of a group of chimeras by 5’ walk RT-PCR validate that 89% (56/63) of chimeras implying recent L1 (L1PA1 to 7) are initiated at the ASP region and therefore correspond to LCT; whereas all tested chimeras implying an L1PA8 element are transcribed from an upstream region. RT-qPCR studies on a larger cohort of 51 gliomas show that all 56 tested LCT, even identified by CLIFinder as “tumor specific”, are not only expressed in tumors but also in controls. Nevertheless, 70% of the “tumor specific” LCTs are significantly overexpressed in tumors. My results suggest that, even L1 5’ UTR methylation, some ASP are active in normal tissues and lead to a basal LCT expression in normal tissues. Moreover, a transcriptional deregulation linked to LCTs in tumors exists and implies a LCTs’ overexpression.In order to determine the underlying mechanisms involved in the increase of transcriptional activity of ASP, two hypothesis were tested. The first one implies L1 promoter hypomethylation. My results tend to refute this hypothesis because no decrease of the DNA methylation is found at the promoter region of L1 linked to overexpressed LCTs. On the other hand, the genes associated to LCT presenting an expression deregulation in tumors demonstrate a deregulation in the same way. Moreover, gene expression variations correlates systematically with the one corresponding LCTs. This suggests that an increase of transcriptional activity at the LCTs loci would be responsible of their overexpression. Finally, 2 candidate LCT overexpressed and presenting as potential predictive biomarkers for patient’s survival, could play a functional role in initiation, progression and/or the tumoral aggressiveness.In conclusion, my work has validated CLIFinder as a useful tool to identify, at pangenomic level, LCTs expressed in different tumor types from paired-end stranded RNA-seq data. The observation of the recurrence and tumoral overexpression for some LCTs suggests that they may play a functional role in tumoral processes
Mir, Ashfaq Ali. "Variations structurales du génome et du transcriptome humains induites par les rétrotransposons LINE-1." Thesis, Nice, 2015. http://www.theses.fr/2015NICE4106.
Full textRetrotransposons are mobile genetics elements, which form almost half of our genome. Only the L1HS subfamily of the Long Interspersed Element-1 class (LINE-1 or L1) has retained the ability to jump autonomously in humans. Their mobilization in the germline – but also in some somatic tissues – contributes to human genetic diversity and to diseases, such as cancer. L1 reactivation can be directly mutagenic by disrupting genes or regulatory sequences. In addition, L1 sequences themselves contain many regulatory cis-elements. Thus, L1 insertions near a gene or within intronic sequences can also produce more subtle genic alterations. To explore L1-mediated genic alterations in a genome-wide manner, we have developed a dedicated RNA-seq analysis software able to identify L1 chimeric or antisense transcripts and to annotate these novel isoforms with their associated alternative splicing events. During the course of this work, it appeared that understanding the link between L1HS insertion polymorphisms and phenotype or disease requires a comprehensive view of the different L1HS copies present in a given individual or sample. To provide a comprehensive summary of L1HS insertion polymorphisms identified in healthy or pathological human samples and published in peer-reviewed journals, we developed euL1db, the European database of L1HS retrotransposon insertions in humans. This work will help understanding the overall impact of L1 insertions on gene expression, at a genome-wide scale
Mir, Ashfaq Ali. "Variations structurales du génome et du transcriptome humains induites par les rétrotransposons LINE-1." Electronic Thesis or Diss., Nice, 2015. http://theses.unice.fr/2015NICE4106.
Full textRetrotransposons are mobile genetics elements, which form almost half of our genome. Only the L1HS subfamily of the Long Interspersed Element-1 class (LINE-1 or L1) has retained the ability to jump autonomously in humans. Their mobilization in the germline – but also in some somatic tissues – contributes to human genetic diversity and to diseases, such as cancer. L1 reactivation can be directly mutagenic by disrupting genes or regulatory sequences. In addition, L1 sequences themselves contain many regulatory cis-elements. Thus, L1 insertions near a gene or within intronic sequences can also produce more subtle genic alterations. To explore L1-mediated genic alterations in a genome-wide manner, we have developed a dedicated RNA-seq analysis software able to identify L1 chimeric or antisense transcripts and to annotate these novel isoforms with their associated alternative splicing events. During the course of this work, it appeared that understanding the link between L1HS insertion polymorphisms and phenotype or disease requires a comprehensive view of the different L1HS copies present in a given individual or sample. To provide a comprehensive summary of L1HS insertion polymorphisms identified in healthy or pathological human samples and published in peer-reviewed journals, we developed euL1db, the European database of L1HS retrotransposon insertions in humans. This work will help understanding the overall impact of L1 insertions on gene expression, at a genome-wide scale
Mittal, Vinay K. "Detection and characterization of gene-fusions in breast and ovarian cancer using high-throughput sequencing." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/54014.
Full textBook chapters on the topic "Chimeric transcripts"
Chu, Hsueh-Ting. "Transcriptome Sequencing for the Detection of Chimeric Transcripts." In Methods in Molecular Biology, 239–53. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-3204-7_14.
Full textMacDiarmid, Robin M. "Chimeric, Infectious, and Stable Virus Transcripts to Study RNA Silencing in “Dark Green” Islands." In Methods in Molecular Biology, 299–308. Totowa, NJ: Humana Press, 2012. http://dx.doi.org/10.1007/978-1-61779-882-5_20.
Full textHuppi, K. "The Generation of Pvt-1/Ck Chimeric Transcripts as an Assay for Chromosomal Translocations in Mouse Plasmacytomas." In Current Topics in Microbiology and Immunology, 399–404. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-79275-5_46.
Full textKoller, Barbara, Etienne Roux, Paul-Etienne Montandon, and Erhard Stutz. "A Chimeric Transcript Containing a 16S rRNA and a Potential mRNA in Chloro-Plasts of Euglena Gracilis." In Plant Molecular Biology, 652. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4615-7598-6_86.
Full text"Chimeric Transcripts." In Encyclopedia of Cancer, 814. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-16483-5_1097.
Full textPanovska-Stavridis, Irina. "Molecular Monitoring in Acute Myeloid Leukemia Patients Undergoing Matched Unrelated Donor: Hematopoietic Stem Cell Transplantation." In Acute Leukemias [Working Title]. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.94830.
Full textOflaz, Ofcan. "Mechanism of HIV-1 Reverse Transcriptase Inhibitors." In Current Researches in Health Sciences-IV. Özgür Yayınları, 2023. http://dx.doi.org/10.58830/ozgur.pub387.c1596.
Full textConference papers on the topic "Chimeric transcripts"
Jian-lei Gu, Yao Lu, Shi-yi Liu, Cong Liu, and Hui Lu. "A novel scoring estimator to screening for oncogenic chimeric transcripts in cancer transcriptome sequencing." In 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2016. http://dx.doi.org/10.1109/bibm.2016.7822792.
Full textHaines, Katherine, Angshumoy Roy, Linghua Wang, Pavel Sumazin, Kyle R. Covington, Donna M. Muzny, Vijetha Kumar, et al. "Abstract A33: Discovery of chimeric transcripts involving APC and TERT in pediatric HCC by RNA sequencing." In Abstracts: AACR Special Conference: Advances in Pediatric Cancer Research: From Mechanisms and Models to Treatment and Survivorship; November 9-12, 2015; Fort Lauderdale, Florida. American Association for Cancer Research, 2016. http://dx.doi.org/10.1158/1538-7445.pedca15-a33.
Full textSarver, Nava, and George A. Ricca. "SUSTAINED EXPRESSION OF FULL LENGTH AND VARIANT RECOMBINANT FACTOR VIII IN GENETICALLY ENGINEERED CELLS." In XIth International Congress on Thrombosis and Haemostasis. Schattauer GmbH, 1987. http://dx.doi.org/10.1055/s-0038-1643875.
Full textГордеев, Александр Андреевич, Елена Владимировна Четверина, Марина Витальевна Фалалеева, and Александр Борисович Четверин. "OVERCOMING FALSE POSITIVES OF REVERSE TRANSCRIPTION AT THE DETECTION OF CHIMERIC RNAS." In Высокие технологии и инновации в науке: сборник избранных статей Международной научной конференции (Санкт-Петербург, Январь 2021). Crossref, 2021. http://dx.doi.org/10.37539/vt189.2021.69.97.008.
Full textAbate, F., A. Acquaviva, E. Ficarra, G. Paciello, E. Macii, A. Ferrarini, M. Delledonne, S. Soverini, and G. Martinelli. "A novel framework for chimeric transcript detection based on accurate gene fusion model." In 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW). IEEE, 2011. http://dx.doi.org/10.1109/bibmw.2011.6112352.
Full textAzmi, Muhammad Bilal. "In Silico Basis to Understand the Molecular Interaction of Human NNATGene With Therapeutic Compounds of Anorexia Nervosa." In INTERNATIONAL CONFERENCE ON BIOLOGICAL RESEARCH AND APPLIED SCIENCE. Jinnah University for Women, Karachi,Pakistan, 2022. http://dx.doi.org/10.37962/ibras/2022/1-2.
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