Relevant bibliographies by topics / Transcriptome

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Transcriptome'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Transcriptome"

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Tao, Feng, Chuanzhu Fan, Yimin Liu, Subashini Sivakumar, Kurt P. Kowalski, and Edward M. Golenberg. "Optimization and application of non-native Phragmites australis transcriptome assemblies." PLOS ONE 18, no. 1 (2023): e0280354. http://dx.doi.org/10.1371/journal.pone.0280354.

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Phragmites australis (common reed) has a cosmopolitan distribution and has been suggested as a model organism for the study of invasive plant species. In North America, the non-native subspecies (ssp. australis) is widely distributed across the contiguous 48 states in the United States and large parts of Canada. Even though millions of dollars are spent annually on Phragmites management, insufficient knowledge of P. australis impeded the efficiency of management. To solve this problem, transcriptomic information generated from multiple types of tissue could be a valuable resource for future st
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Kordonowy, Lauren L., and Matthew D. MacManes. "Characterization of a male reproductive transcriptome forPeromyscus eremicus(Cactus mouse)." PeerJ 4 (October 27, 2016): e2617. http://dx.doi.org/10.7717/peerj.2617.

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Rodents of the genusPeromyscushave become increasingly utilized models for investigations into adaptive biology. This genus is particularly powerful for research linking genetics with adaptive physiology or behaviors, and recent research has capitalized on the unique opportunities afforded by the ecological diversity of these rodents. Well characterized genomic and transcriptomic data is intrinsic to explorations of the genetic architecture responsible for ecological adaptations. Therefore, this study characterizes the transcriptome of three male reproductive tissues (testes, epididymis and va
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Ochsner, Scott A., Christopher M. Watkins, Apollo McOwiti, et al. "Transcriptomine, a web resource for nuclear receptor signaling transcriptomes." Physiological Genomics 44, no. 17 (2012): 853–63. http://dx.doi.org/10.1152/physiolgenomics.00033.2012.

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The nuclear receptor (NR) superfamily of ligand-regulated transcription factors directs ligand- and tissue-specific transcriptomes in myriad developmental, metabolic, immunological, and reproductive processes. The NR signaling field has generated a wealth of genome-wide expression data points, but due to deficits in their accessibility, annotation, and integration, the full potential of these studies has not yet been realized. We searched public gene expression databases and MEDLINE for global transcriptomic datasets relevant to NRs, their ligands, and coregulators. We carried out extensive, d
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Duan, Hao, Qingchen Zhang, Feifei Cui, Quan Zou, and Zilong Zhang. "MVST: Identifying spatial domains of spatial transcriptomes from multiple views using multi-view graph convolutional networks." PLOS Computational Biology 20, no. 9 (2024): e1012409. http://dx.doi.org/10.1371/journal.pcbi.1012409.

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Spatial transcriptome technology can parse transcriptomic data at the spatial level to detect high-throughput gene expression and preserve information regarding the spatial structure of tissues. Identifying spatial domains, that is identifying regions with similarities in gene expression and histology, is the most basic and critical aspect of spatial transcriptome data analysis. Most current methods identify spatial domains only through a single view, which may obscure certain important information and thus fail to make full use of the information embedded in spatial transcriptome data. Theref
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Macrander, Jason, Jyothirmayi Panda, Daniel Janies, Marymegan Daly, and Adam M. Reitzel. "Venomix: a simple bioinformatic pipeline for identifying and characterizing toxin gene candidates from transcriptomic data." PeerJ 6 (July 31, 2018): e5361. http://dx.doi.org/10.7717/peerj.5361.

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The advent of next-generation sequencing has resulted in transcriptome-based approaches to investigate functionally significant biological components in a variety of non-model organism. This has resulted in the area of “venomics”: a rapidly growing field using combined transcriptomic and proteomic datasets to characterize toxin diversity in a variety of venomous taxa. Ultimately, the transcriptomic portion of these analyses follows very similar pathways after transcriptome assembly often including candidate toxin identification using BLAST, expression level screening, protein sequence alignmen
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MA, Hoi Tang, Chun Yin YU, and Lau Yan NG. "Abstract 7102: The central dogma of hepatocellular carcinoma: Genomic, transcriptomic, and proteomic changes." Cancer Research 84, no. 6_Supplement (2024): 7102. http://dx.doi.org/10.1158/1538-7445.am2024-7102.

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Abstract Cancer is a disease condition characterized by remarkable heterogeneity, wherein numerous molecular features display considerable disparities even with the same patient cohorts, leading to varied treatment outcomes. The primary factor contributing to the substantial differences observed across cancers stems from unique combinations of genetic mutations. Epigenetic alterations further contribute to differential gene expression and splicing, thereby enhancing transcriptomic diversity. The protein products originating from the cancer transcriptome constitute the specific intracellular an
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Chen, Wanze, Orane Guillaume-Gentil, Pernille Yde Rainer, et al. "Live-seq enables temporal transcriptomic recording of single cells." Nature 608, no. 7924 (2022): 733–40. http://dx.doi.org/10.1038/s41586-022-05046-9.

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AbstractSingle-cell transcriptomics (scRNA-seq) has greatly advanced our ability to characterize cellular heterogeneity1. However, scRNA-seq requires lysing cells, which impedes further molecular or functional analyses on the same cells. Here, we established Live-seq, a single-cell transcriptome profiling approach that preserves cell viability during RNA extraction using fluidic force microscopy2,3, thus allowing to couple a cell’s ground-state transcriptome to its downstream molecular or phenotypic behaviour. To benchmark Live-seq, we used cell growth, functional responses and whole-cell tran
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Navarrete-López, Paula, Victoria Asselstine, María Maroto, Marta Lombó, Ángela Cánovas, and Alfonso Gutiérrez-Adán. "RNA Sequencing of Sperm from Healthy Cattle and Horses Reveals the Presence of a Large Bacterial Population." Current Issues in Molecular Biology 46, no. 9 (2024): 10430–43. http://dx.doi.org/10.3390/cimb46090620.

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RNA molecules within ejaculated sperm can be characterized through whole-transcriptome sequencing, enabling the identification of pivotal transcripts that may influence reproductive success. However, the profiling of sperm transcriptomes through next-generation sequencing has several limitations impairing the identification of functional transcripts. In this study, we explored the nature of the RNA sequences present in the sperm transcriptome of two livestock species, cattle and horses, using RNA sequencing (RNA-seq) technology. Through processing of transcriptomic data derived from bovine and
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Londin, Eric R., Eleftheria Hatzimichael, Phillipe Loher, et al. "Towards a Reference Human Platelet Transcriptome: Evaluation Of Inter-Individual Correlations and Its Relationship With a Platelet Proteome." Blood 122, no. 21 (2013): 2297. http://dx.doi.org/10.1182/blood.v122.21.2297.2297.

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Abstract Next generation sequencing of RNA (RNA-seq) is an emerging technology that has so far been used successfully to profile the transcriptomes of several cell types and cell states. For the platelet transcriptome, RNA-seq descriptions exist for only a few subjects. Additionally, there have been no studies of the same individual’s transcriptome using two different technologies. As such, it has been unclear how well platelet transcriptomes correlate among different donors or across different RNA platforms, and what the transcriptomes’ relationship is with the platelet proteome. We generated
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Ali, Abdullah Mahmood, and Azra Raza. "scRNAseq and High-Throughput Spatial Analysis of Tumor and Normal Microenvironment in Solid Tumors Reveal a Possible Origin of Circulating Tumor Hybrid Cells." Cancers 16, no. 7 (2024): 1444. http://dx.doi.org/10.3390/cancers16071444.

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Metastatic cancer is a leading cause of death in cancer patients worldwide. While circulating hybrid cells (CHCs) are implicated in metastatic spread, studies documenting their tissue origin remain sparse, with limited candidate approaches using one–two markers. Utilizing high-throughput single-cell and spatial transcriptomics, we identified tumor hybrid cells (THCs) co-expressing epithelial and macrophage markers and expressing a distinct transcriptome. Rarely, normal tissue showed these cells (NHCs), but their transcriptome was easily distinguishable from THCs. THCs with unique transcriptome
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Dissertations / Theses on the topic "Transcriptome"

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Klevebring, Daniel. "On Transcriptome Sequencing." Doctoral thesis, KTH, Genteknologi, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-11446.

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This thesis is about the use of massive DNA sequencing to investigate the transcriptome. During recent decades, several studies have made it clear that the transcriptome comprises a more complex set of biochemical machinery than was previously believed. The majority of the genome can be expressed as transcripts; and overlapping and antisense transcription is widespread. New technologies for the interroga- tion of nucleic acids have made it possible to investigate such cellular phenomena in much greater detail than ever before. For each application, special requirements need to be met. The work
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Zachariadou, Christina. "Gingival Health Transcriptome." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1532533066167142.

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Nociti, Ricardo Perecin. "Transcrição em embriões bovinos produzidos in vitro /." Jaboticabal, 2018. http://hdl.handle.net/11449/157385.

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Orientador: Vera Fernanda Martins Hossepian de Lima<br>Resumo: O processo transcricional em embriões extremamente complexo, nosso trabalho estimou o impacto de perturbações nos processos de transcricionais, durante as fases de ativação do genoma embrionário sobre o desenvolvimento embrionário in vitro de embriões; analisamos dados de sequenciamento de rna (RNA-seq) depositados nos bancos públicos (GEO) desde o estágio de oóocito até o dia 19 do desenvolvimento embrionário; Isolamos e caracterizamos a massa celular interna (ICM) e a trofectoderma (TE) do sexo masculino e feminino, oriundos de u
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Schwalb, Björn. "Dynamic transcriptome analysis (DTA)." Diss., lmu, 2012. http://nbn-resolving.de/urn:nbn:de:bvb:19-147748.

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Werne, Solnestam Beata. "Interpreting the human transcriptome." Doctoral thesis, KTH, Genteknologi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-158320.

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The human body is made of billions of cells and nearly all have the same genome. However, there is a high diversity of cells, resulted from what part of the genome the cells use, i.e. which RNA molecules are expressed. Rapid advances within the field of sequencing allow us to determine the RNA molecules expressed in a specific cell at a certain time. The use of the new technologies has expanded our view of the human transcriptome and increased our understanding of when, where, and how each RNA molecule is expressed. The work presented in this thesis focuses on analysis of the human transcripto
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Rosier, Florian. "Au-delà des études d'association à l'échelle du génome : étude transcriptomique et identification des variants régulateurs impliqués dans le développement du sepsis." Thesis, Aix-Marseille, 2019. http://www.theses.fr/2019AIXM0542.

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En 2017, l'Assemblée mondiale de la Santé et l'Organisation mondiale de la Santé ont fait du sepsis une priorité de santé mondiale en adoptant une résolution pour améliorer, prévenir, diagnostiquer et gérer le sepsis. Cette pathologie tue principalement des personnes déjà fragilisées. Il a été démontré que l'état du patient et la réponse immunitaire de l'hôte est primordiale dans le développement de la pathologie. Mon projet de thèse a tout d’abord consisté à caractériser la réponse transcriptionnelle de cellules du péritoine stimulées au LPS dans un modèle murin du sepsis. Par ailleurs, j’ai
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Loe-mie, Yann. "Contribution bioinformatique à l' analyse du transcriptome humain." Thesis, Aix-Marseille, 2012. http://www.theses.fr/2012AIXM4002/document.

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Dans la première partie j'ai analysé des jeux de données de RNA-seq de transcriptome de petits ARNs disponibles dans les bases de données publiques. J'y ai observé 2 points intrigants : - une grande partie des lectures (bien que courtes) ne peux pas être alignée sur le génome de référence sans discordance et cette fraction non-alignable est parfois majoritaire. - de nombreuses lectures ont des tailles autours de 15-18nt qui ne correspondent à aucun type de petits ARNs connues, cette fraction est également majoritaires dans certains cas. Ces expériences sont souvent conçues pour la détection de
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Borsari, Beatrice 1992. "Epigenetic regulation of the transcriptome." Doctoral thesis, TDX (Tesis Doctorals en Xarxa), 2021. http://hdl.handle.net/10803/671429.

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We have monitored the transcriptome and the epigenome of human pre-B cells transdifferentiating into macrophages. Analysis of these data provides a general framework to understand the relationship between gene expression and chromatin. We have observed widespread uncoupling of gene expression and epigenetic features during transdifferentiation, with several genes characterized by unvaried chromatin state throughout the process, irrespective of changes in gene expression. Nevertheless, we report a strong association between transcription and chromatin marking of promoter regions at the time of
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Natarajan, Sripriya 1978. "Defining the human endothelial transcriptome." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33082.

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Thesis (S.M.)--Harvard-MIT Division of Health Sciences and Technology, 2005.<br>Includes bibliographical references (leaves 91-100).<br>Advances in microarray technology facilitate the study of biological systems at a genome-wide level. Meaningful analysis of these transcriptional profiling studies, however, demands the concomitant development of novel computational techniques that take into account the size and complexity of the data. We have devised statistical algorithms that use replicate microarrays to define a genome-wide expression profile of a given cell type and to determine a list of
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Meng, Arnaud. "Étude de la symbiose dans le plancton marin par une approche transcriptome et méta-transcriptome." Thesis, Paris 6, 2017. http://www.theses.fr/2017PA066478/document.

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Les relations symbiotiques entre organismes sont essentielles pour l’évolution de la bio- diversité et le fonctionnement des écosystèmes. En milieu terrestre ou en milieu marin benthique les symbioses sont assez bien décrites. Si dans le plancton marin, les relations entre hôtes hétérotrophes et symbiontes photosynthétiques sont des phénomènes observés dès le 19ème siècle, les mécanismes fonctionnels qui régissent ces symbioses restent largement inconnus. C’est le cas de la symbiose entre certaines espèces de radiolaires et leurs symbiontes dinoflagellés. Il s’agit d’un mode
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Books on the topic "Transcriptome"

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Cellerino, Alessandro, and Michele Sanguanini. Transcriptome Analysis. Scuola Normale Superiore, 2018. http://dx.doi.org/10.1007/978-88-7642-642-1.

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Wang, Yejun, and Ming-an Sun, eds. Transcriptome Data Analysis. Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7710-9.

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Azad, Rajeev K., ed. Transcriptome Data Analysis. Springer US, 2024. http://dx.doi.org/10.1007/978-1-0716-3886-6.

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Passos, Geraldo A., ed. Thymus Transcriptome and Cell Biology. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12040-5.

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Bernot, Alain. Genome Transcriptome and Proteome Analysis. John Wiley & Sons, Ltd., 2005.

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Passos, Geraldo A., Daniella Arêas Mendes-da-Cruz, and Wilson Savino, eds. Thymus Transcriptome and Cell Biology. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-77921-3.

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Russo, Jose, and Irma H. Russo. Role of the Transcriptome in Breast Cancer Prevention. Springer US, 2013. http://dx.doi.org/10.1007/978-1-4614-4884-6.

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Regunath, Kausik. Landscape of the p53 transcriptome and clinical implications. [publisher not identified], 2020.

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Scanfeld, Daniel. Exploring the Plasmodium falciparum Transcriptome Using Hypergeometric Analysis of Time Series (HATS). [publisher not identified], 2013.

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Einson, Jonah. Common and rare genetic effects on the transcriptome and their contribution to human traits. [publisher not identified], 2022.

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Book chapters on the topic "Transcriptome"

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Bähler, Jürg, and Samuel Marguerat. "Transcriptome." In Encyclopedia of Systems Biology. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_736.

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Louder, Matthew I. M., and Christopher Balakrishnan. "Transcriptome." In Encyclopedia of Animal Cognition and Behavior. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-47829-6_163-1.

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Louder, Matthew I. M., and Christopher Balakrishnan. "Transcriptome." In Encyclopedia of Animal Cognition and Behavior. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-319-55065-7_163.

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Cellerino, Alessandro, and Michele Sanguanini. "A primer on data distributions and their visualisation." In Transcriptome Analysis. Scuola Normale Superiore, 2018. http://dx.doi.org/10.1007/978-88-7642-642-1_1.

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Cellerino, Alessandro, and Michele Sanguanini. "Next-generation RNA sequencing." In Transcriptome Analysis. Scuola Normale Superiore, 2018. http://dx.doi.org/10.1007/978-88-7642-642-1_2.

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Cellerino, Alessandro, and Michele Sanguanini. "RNA-seq raw data processing." In Transcriptome Analysis. Scuola Normale Superiore, 2018. http://dx.doi.org/10.1007/978-88-7642-642-1_3.

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Cellerino, Alessandro, and Michele Sanguanini. "Differentially expressed gene detection and analysis." In Transcriptome Analysis. Scuola Normale Superiore, 2018. http://dx.doi.org/10.1007/978-88-7642-642-1_4.

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Cellerino, Alessandro, and Michele Sanguanini. "Unbiased clustering methods." In Transcriptome Analysis. Scuola Normale Superiore, 2018. http://dx.doi.org/10.1007/978-88-7642-642-1_5.

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Cellerino, Alessandro, and Michele Sanguanini. "Knowledge-based clustering methods." In Transcriptome Analysis. Scuola Normale Superiore, 2018. http://dx.doi.org/10.1007/978-88-7642-642-1_6.

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Cellerino, Alessandro, and Michele Sanguanini. "Network analysis." In Transcriptome Analysis. Scuola Normale Superiore, 2018. http://dx.doi.org/10.1007/978-88-7642-642-1_7.

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Conference papers on the topic "Transcriptome"

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Mazur, O. E., I. A. Kutyrev, T. V. Sidorova, L. V. Sukhanova, N. B. Terenina, and S. O. Movsesyan. "TRANSCRIPTOME ANALYSIS OF THE SPLEEN OF THE BAIKAL CISCO (LAKE BAIKAL, EASTERN SIBERIA)." In THEORY AND PRACTICE OF PARASITIC DISEASE CONTROL. VNIIP – FSC VIEV, 2024. http://dx.doi.org/10.31016/978-5-6050437-8-2.2024.25.251-255.

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For the first time, new data have been presented on the spleen transcriptome of the Baikal cisco Coregonus migratorius Georgi, 1775 (Salmoniformes: Coregonidae), infected with parasites of different systematic groups. Transcriptomic libraries were sequenced on an Illumina NextSeq550 sequencer using the NextSeq® 550 High Output Kit v2. The de-novo transcriptome was assembled. Conserved domains and their associated Gene Ontology annotations were predicted with Blast2Go. The annotation results of the obtained transcripts found that transcripts were distributed in the spleen into the following cat
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Brent, Michael. "Model-based Transcriptome Engineering." In BCB '17: 8th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics. ACM, 2017. http://dx.doi.org/10.1145/3107411.3107454.

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Collar, Giovanna Carello, Marco Antônio De Bastiani, and Eduardo R. Zimmer. "HUNTINGTON’S DISEASE AND EARLYONSET ALZHEIMER’S DISEASE SHARE A TRANSCRIPTOMIC SIGNATURE." In XIII Meeting of Researchers on Alzheimer's Disease and Related Disorders. Zeppelini Editorial e Comunicação, 2021. http://dx.doi.org/10.5327/1980-5764.rpda082.

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Background: Neurodegenerative diseases share progressive loss of neurons and protein misfolding, which ultimately culminates in dementia; many diseases have been identified as causes of early-onset dementia (&lt; 65 years of age) such as Huntington’s disease (HD) and early-onset Alzheimer’s disease (EOAD). Importantly, disease-specific genetic mutations have already been identified for HD and EOAD. Thus, one could suggest that the molecular link between these diseases may arise from alterations at the transcriptomic level, which is yet to be determined. Objective: We aimed at identifying trans
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GRIMMOND, SEAN M. "SEQUENCING THE TRANSCRIPTOME IN TOTO." In Proceedings of the 19th International Conference. IMPERIAL COLLEGE PRESS, 2008. http://dx.doi.org/10.1142/9781848163324_0019.

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Sodnomov, T. C., I. A. Kutyrev, O. E. Mazur, and Z. N. Dugarov. "DE NOVO DIBOTHRIOCEPHALUS DENDRITICUS TRANSCRIPTOME ASSEMBLY AND QUALITY ASSESSMENT OF THE ASSEMBLY." In THEORY AND PRACTICE OF PARASITIC DISEASE CONTROL. VNIIP – FSC VIEV, 2025. https://doi.org/10.31016/978-5-6053355-1-1.2025.26.301-306.

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Cestodes as parasitic worms have unique host interaction mechanisms, which generates interest in their substances as potential sources of new drugs needed to treat various autoimmune diseases, allergic diseases, and inflammations. For the first time, we performed de novo assembly of the transcriptome of the gull-tapeworm D. dendriticus at the larval stage of development. The quality of reads obtained in sequencing a Dibothriocephalus dendriticus mRNA was assessed using FastQC. Lowquality reads were filtered using Trimmomatic. De novo transcriptome assembly was performed using Trinity. The asse
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Mak, Cathy Ka-Yan, Grace Tin-Yan Chung, Kevin Yuk-Lap Yip, et al. "Abstract 3425: Whole-transcriptome analyses of EBV-associated nasopharyngeal carcinoma using next-generation transcriptome sequencing." In Proceedings: AACR Annual Meeting 2014; April 5-9, 2014; San Diego, CA. American Association for Cancer Research, 2014. http://dx.doi.org/10.1158/1538-7445.am2014-3425.

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Calyeca, M. D. J., Y. I. Balderas-Martinez, M. Selman, and A. Pardo. "Changes of Lung Transcriptome During Aging." In American Thoracic Society 2019 International Conference, May 17-22, 2019 - Dallas, TX. American Thoracic Society, 2019. http://dx.doi.org/10.1164/ajrccm-conference.2019.199.1_meetingabstracts.a7410.

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Richards, Elizabeth J., William O. Cookson, Sanjay Popat, and Miriam F. Moffatt. "Transcriptome Changes Accompanying Induced Cisplatin Resistance." In American Thoracic Society 2012 International Conference, May 18-23, 2012 • San Francisco, California. American Thoracic Society, 2012. http://dx.doi.org/10.1164/ajrccm-conference.2012.185.1_meetingabstracts.a4918.

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"Expression of IPD3, a transcriptional regulator of AM symbiosis, affects immunity and flowering time in non-host Arabidopsis." In IS-MPMI Congress. IS-MPMI, 2023. http://dx.doi.org/10.1094/ismpmi-2023-13.

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Arbuscular mycorrhizal symbiosis (AM) is a beneficial trait originating with the first land plants. The ability to host AM has since been lost from diverse plant species. Genes in the Common Symbiosis Pathway that are essential to establish AM hosting were lost from Brassicaceae along with the trait itself, including Interacting Protein of DMI3 (IPD3), a key transcription factor connecting upstream signaling of AM fungal presence to the downstream gene-regulatory network for AM functions. We generated transgenic Arabidopsis plants expressing the DNA-binding domain of IPD3 and used phenotypic a
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Angelotti, Austin, Rachel Cole, Amy Webb, Maciej Pietrzak, and Martha Belury. "Diet-induced Gene Expression Changes of Cachectic Muscle, Adipose, and Liver." In 2022 AOCS Annual Meeting & Expo. American Oil Chemists' Society (AOCS), 2022. http://dx.doi.org/10.21748/gvbe2596.

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Cancer cachexia is a systemic disease characterized by muscle and adipose loss that cannot be reversed by increasing caloric intake. Our previous research has shown insulin resistance precedes cancer cachexia in the C26 mouse model of cachexia, and a diet high in linoleic acid, the essential omega-6 polyunsaturated fatty acid, attenuates the C26-induced insulin resistance. Therefore, to better understand how dietary linoleic acid is improving insulin sensitivity, we characterized gene expression changes in three major tissues responsible for controlling insulin sensitivity: skeletal muscle, ad
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Reports on the topic "Transcriptome"

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Nelson, Peter S. The Single Prostate Cell Transcriptome as Biological Assay. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada401685.

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Nelson, Peter S. The Single Prostate Cell Transcriptome as Biological Assay. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada381283.

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Chan, Timothy A. Targeting Master Regulators of the Breast Cancer Metastasis Transcriptome. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada608859.

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Tien, Ming. Transcriptome and Biochemical Analyses of Fungal Degradation of Wood. Office of Scientific and Technical Information (OSTI), 2009. http://dx.doi.org/10.2172/1056641.

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Mockler, Todd. A Universal Genome Array and Transcriptome Atlas for Brachypodium Distachyon. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1351713.

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Sun, Hongyan, Peng Liu, Lisa K. Nolan, and Susan J. Lamont. Thymus Transcriptome Response to Avian Pathogenic E. coli (APEC) Infection. Iowa State University, 2015. http://dx.doi.org/10.31274/ans_air-180814-1313.

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Coble, Derrick, Erin Sandford, Tieming Ji, and Susan J. Lamont. Impacts of Salmonella Enteritidis Infection on Liver Transcriptome in Broilers. Iowa State University, 2012. http://dx.doi.org/10.31274/ans_air-180814-57.

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Carey, Maureen A., and Eric S. Ho. A Transcriptome Study of Borrelia burgdorferi Infection in Murine Heart and Brain Tissues. Journal of Young Investigators, 2017. http://dx.doi.org/10.22186/jyi.33.1.28-41.

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Libray, Spring. The Booming Field of Epitranscriptomics and its Role in Human Disease. Spring Library, 2021. http://dx.doi.org/10.47496/sl.blog.26.

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Currently, the detection techniques used for transcriptome-wide identification of chemical modifications mainly depend on chemical and antibody-based detection methods followed by sequencing analysis.
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Katzir, Nurit, James Giovannoni, Marla Binzel, Efraim Lewinsohn, Joseph Burger, and Arthur Schaffer. Genomic Approach to the Improvement of Fruit Quality in Melon (Cucumis melo) and Related Cucurbit Crops II: Functional Genomics. United States Department of Agriculture, 2010. http://dx.doi.org/10.32747/2010.7592123.bard.

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Background: Genomics tools for enhancement of melon research, with an emphasis on fruit, were developed through a previous BARD project of the PIs (IS -333-02). These included the first public melon EST collection, a database to relay this information to the research community and a publicly available microarray. The current project (IS-3877- 06) aimed to apply these tools for identification of important genes for improvement of melon (Cucumis melo) fruit quality. Specifically, the research plans included expression analysis using the microarray and functional analyses of selected genes. The o
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