Academic literature on the topic 'Chromatin sequencing'
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Journal articles on the topic "Chromatin sequencing"
Soleimani, Vahab D., Gareth A. Palidwor, Parameswaran Ramachandran, Theodore J. Perkins, and Michael A. Rudnicki. "Chromatin tandem affinity purification sequencing." Nature Protocols 8, no. 8 (July 11, 2013): 1525–34. http://dx.doi.org/10.1038/nprot.2013.088.
Full textJukam, David, Charles Limouse, Owen K. Smith, Viviana I. Risca, Jason C. Bell, and Aaron F. Straight. "Chromatin‐Associated RNA Sequencing (ChAR‐seq)." Current Protocols in Molecular Biology 126, no. 1 (February 20, 2019): e87. http://dx.doi.org/10.1002/cpmb.87.
Full textStergachis, Andrew B., Brian M. Debo, Eric Haugen, L. Stirling Churchman, and John A. Stamatoyannopoulos. "Single-molecule regulatory architectures captured by chromatin fiber sequencing." Science 368, no. 6498 (June 25, 2020): 1449–54. http://dx.doi.org/10.1126/science.aaz1646.
Full textXie, Wenhui, Yilang Ke, Qinyi You, Jing Li, Lu Chen, Dang Li, Jun Fang, et al. "Single-Cell RNA Sequencing and Assay for Transposase-Accessible Chromatin Using Sequencing Reveals Cellular and Molecular Dynamics of Aortic Aging in Mice." Arteriosclerosis, Thrombosis, and Vascular Biology 42, no. 2 (February 2022): 156–71. http://dx.doi.org/10.1161/atvbaha.121.316883.
Full textWu, Weixin, Zhangming Yan, Tri C. Nguyen, Zhen Bouman Chen, Shu Chien, and Sheng Zhong. "Mapping RNA–chromatin interactions by sequencing with iMARGI." Nature Protocols 14, no. 11 (October 16, 2019): 3243–72. http://dx.doi.org/10.1038/s41596-019-0229-4.
Full textGorkin, David U., Iros Barozzi, Yuan Zhao, Yanxiao Zhang, Hui Huang, Ah Young Lee, Bin Li, et al. "An atlas of dynamic chromatin landscapes in mouse fetal development." Nature 583, no. 7818 (July 29, 2020): 744–51. http://dx.doi.org/10.1038/s41586-020-2093-3.
Full textJahan, Sanzida, Tasnim H. Beacon, Wayne Xu, and James R. Davie. "Atypical chromatin structure of immune-related genes expressed in chicken erythrocytes." Biochemistry and Cell Biology 98, no. 2 (April 2020): 171–77. http://dx.doi.org/10.1139/bcb-2019-0107.
Full textGuo, Ziwei, Xinhong Liu, and Mo Chen. "Defining pervasive transcription units using chromatin RNA-sequencing data." STAR Protocols 3, no. 2 (June 2022): 101442. http://dx.doi.org/10.1016/j.xpro.2022.101442.
Full textVega, Vinsensius B., Edwin Cheung, Nallasivam Palanisamy, and Wing-Kin Sung. "Inherent Signals in Sequencing-Based Chromatin-ImmunoPrecipitation Control Libraries." PLoS ONE 4, no. 4 (April 15, 2009): e5241. http://dx.doi.org/10.1371/journal.pone.0005241.
Full textBright, Ann Rose, and Gert Jan C. Veenstra. "Assay for Transposase-Accessible Chromatin-Sequencing Using Xenopus Embryos." Cold Spring Harbor Protocols 2019, no. 1 (July 24, 2018): pdb.prot098327. http://dx.doi.org/10.1101/pdb.prot098327.
Full textDissertations / Theses on the topic "Chromatin sequencing"
Cook, David. "SNF2H-Mediated Chromatin Remodelling and Its Regulation of the Pluripotent State." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/35097.
Full textLUCINI, FEDERICA. "Unconventional nuclear architecture in CD4+ T lymphocytes uncouples chromatin solubility from function." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2020. http://hdl.handle.net/10281/262913.
Full textIn every eukaryotic cell, the genomic information coded in the DNA is packed into the small nuclear volume as chromatin, a complex of DNA and proteins. The ensemble of molecular mechanisms that organize chromatin compaction and allow the specific expression of the portions of genome useful for cell’s biological functions is known as the epigenome. As a result of epigenome activity, chromatin is folded and positioned in the nucleus in a cell-specific manner, generating areas of highly compacted, repressed, heterochromatin and areas of decondensed, gene-rich and transcriptionally active, euchromatin. In our work, we describe chromatin organization in different cell populations and analyse some of its implications in the physiological functions and pathological dysfunctions of the cell. In the first project, we focus on murine muscle stem cells lacking the nuclear structural protein Lamin A/C. We show their irregular differentiation program, due to a spreading of Polycomb group (PcG) of proteins repressors from their target genes over the flanking regions. The consequent alteration in gene expression cause premature exhaustion of quiescent stem cells and accumulation of intramuscular fat, resulting in accelerated senescence and muscular dystrophy progression. On the other hand, the progressive accumulation of a Lamin A aberrant form, Progerin, in Hutchinson-Gilford progeria syndrome (HGPS) also leads to chromatin structure disruption. In particular, it interferes with Lamina Associated Domains (LADs), the peripheral heterochromatin structures associated to the nuclear lamina. For our second project, we develop a new method, SAMMY-seq, based on high-throughput sequencing of chromatin fractions of different solubility. Thanks to this technology, we highlight early changes in heterochromatin accessibility in human HGPS primary fibroblasts. This early structural changes do not alter the deposition of the H3K9me3 heterochromatin mark but are associated with site-specific variations in the PcG-dependent transcriptional regulation. Finally, further improving SAMMY-seq technology, in our third project we describe an unconventional genome organization in resting human CD4+ T lymphocytes extracted from the peripheral blood of healthy donors. In these cells, heterochromatin is sensitive to DNAse digestion while euchromatin is resistant to serial processes of extraction. Preliminary analysis of the content of these compartments suggests that euchromatin contains, beside the actively transcribed genes, also inactive genes specific for lymphocyte activation. Further studies will elucidate the role of this unconventional chromatin organization in lymphocytes functions.
Aitken, Sarah Jane. "The pathological and genomic impact of CTCF depletion in mammalian model systems." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/284403.
Full textDeng, Chengyu. "Microfluidics for Low Input Epigenomic Analysis and Its Application to Brain Neuroscience." Diss., Virginia Tech, 2021. http://hdl.handle.net/10919/101765.
Full textDoctor of Philosophy
Epigenetic is the study of alternations in organisms not caused by alternation of the genetic codes. Epigenetic information plays pivotal role during growth, aging and disease. Epigenetic information is dynamic and modifiable, and thus serves as an ideal target for various diagnostic and therapeutic strategies of human diseases. Microfluidics is a technology that manipulates liquids with extremely small volumes in miniaturized devices. Microfluidics has improved the sensitivity and resolution of epigenetic analysis. In this thesis, I report three projects focusing on low-input, cell-type-specific and spatially resolved histone modification profiling on microfluidic platforms. Histone modification is one type of epigenetic information and regulates gene expression. First, we studied the influence of culture condition and bacterium infection on histone modification profile of brain tumor cells. Second, we introduced mu-CM, combining a low-input microfluidic device with indexed ChIPmentation and is capable of performing 8 assays in parallel using as few as 20 cells. Last, we investigated spatial variations in the epigenome and transcriptome across adult mouse neocortex, the outer layer of brain involving in higher-order function, such as cognition. I identified distinct spatial patterns responsible for central nervous system development using machine learning algorithm. Our method is well suited for studying scarce samples, such as cells populations isolated from patients in the context of precision medicine.
Hunt, Spencer Philip. "Whole-Genome Assembly of Atriplex hortensis L. Using OxfordNanopore Technology with Chromatin-Contact Mapping." BYU ScholarsArchive, 2019. https://scholarsarchive.byu.edu/etd/8580.
Full textKremsky, Isaac Jacob 1983. "Assessing the relationship between chromatin and splicing factors in alternative splicing." Doctoral thesis, Universitat Pompeu Fabra, 2015. http://hdl.handle.net/10803/316790.
Full textLas proteínas que se unen al DNA o al RNA pueden influir el splicing alternativo. Sin embargo, no ha habido aún una exploración sistemática de la relación entre estos dos tipos de factores en su acción sobre el splicing. En esta tesis hacemos uso de datos públicos de secuenciación de alto rendimiento para explorar esta cuestión a escala de todo el genoma. Hemos hecho un uso sistemático de la construcción de perfiles de información genómica para abordar esta cuestión. Debido a que los métodos i comúnmente utilizados para construir perfiles hace sólo comparaciones cualitativas, la primera tarea de esta tesis consistió en desarrollar un método para cuantificar perfiles e implementarlo en una herramienta bioinformática, ProfileSeq, la cual hemos validado mediante la reproducción de resultados previamente descritos en la literatura. Posteriormente, ProfileSeq se usó con datos de actividad de unión al DNA o al RNA de distintas proteínas para estudiar la relevancia en el splicing. Se encontraron varias asociaciones significativas. Entre ellas, la del factor de transcripción CTCF y la proteína de unión a RNA LIN28A. De manera similar, se encontró una relación entre SPI1 y proteínas de unión a RNA que se unen a motivos ricos en AC, como hnRNPL. Estos resultados representan relaciones putativas relevantes para el splicing, ya que se alcanzaron por más de un método diferente y usando datos independientes, También mostramos evidencia de que CTCF actúa como una barrera entre las regiones intragénicas de marcaje diferencial con H3K4me3. También se describen otros resultados de interés potencial tanto para la bioinformática como para la biología molecular.
Sarma, Mimosa. "Microfluidic platforms for Transcriptomics and Epigenomics." Diss., Virginia Tech, 2019. http://hdl.handle.net/10919/90294.
Full textDoctor of Philosophy
This is the era of personalized medicine which means that we are no longer looking at one-size-fits-all therapies. We are rather focused on finding therapies that are tailormade to every individual’s personal needs. This has become more and more essential in the context of serious diseases like cancer where therapies have a lot of side-effects. To provide tailor-made therapy to patients, it is important to know how each patient is different from another. This difference can be found from studying how the individual is unique or different at the cellular level i.e. by looking into the contents of the cell like DNA, RNA, and chromatin. In this thesis, we discussed a number of projects which we can contribute to advancement in this field of personalized medicine. Our first project, MID-RNA-seq offers a new platform for studying the information contained in the RNA of a single cell. This platform has enough potential to be scaled up and automated into an excellent platform for studying the RNA of rare or limited patient samples. The second project discussed in this thesis involves studying the RNA of innate immune cells which defend our bodies against pathogens. The RNA data that we have unearthed in this project provides an immense scope for understanding innate immunity. This data provides our biologist collaborators the scope to test various pathways in innate immune cells and their roles in innate immune modulation. Our third project discusses a method to produce an enzyme called ‘Tn5’ which is necessary for studying the sequence of DNA. This enzyme which is commercially available has a very high cost associated with it but because we produced it in the lab, we were able to greatly reduce costs. The fourth project discussed involves the study of chromatin structure in cells and enables us to understand how our lifestyle choices change the expression or repression of genes in the cell, a study called epigenetics. The findings of this study would enable us to study epigenomic profiles from limited patient samples. Overall, our projects have enabled us to understand the information from cells especially when we have limited cell numbers. Once we have all this information we can compare how each patient is different from others. The future brings us closer to putting this into clinical practice and assigning different therapies to patients based on such data.
Tavernari, Daniele. "Statistical and network-based methods for the analysis of chromatin accessibility maps in single cells." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/12297/.
Full textMa, Sai. "Microfluidics for Genetic and Epigenetic Analysis." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/78187.
Full textPh. D.
Herzel, Lydia. "Co-transcriptional splicing in two yeasts." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-179274.
Full textBooks on the topic "Chromatin sequencing"
Liang, Xiaoshan. Studies of rainbow trout Ki-ras gene: Sequencing, aflatoxin B1 binding, and chromatin structure. 1993.
Find full textMifsud, Borbala, Kathi Zarnack, and Anaïs F. Bardet. Practical Guide to ChIP-Seq Data Analysis. Taylor & Francis Group, 2018.
Find full textMifsud, Borbala, Kathi Zarnack, and Anais Bardet. Practical Guide to Chip-Seq Data Analysis. Taylor & Francis Group, 2021.
Find full textMifsud, Borbala, Kathi Zarnack, and Anaïs F. Bardet. Practical Guide to ChIP-Seq Data Analysis. Taylor & Francis Group, 2018.
Find full textMifsud, Borbala, and Anais Bardet. Practical Guide to Chip-Seq Data Analysis. Taylor & Francis Group, 2018.
Find full textPractical Guide to ChIP-Seq Data Analysis. Taylor & Francis Group, 2018.
Find full textBook chapters on the topic "Chromatin sequencing"
Ribarska, Teodora, and Gregor D. Gilfillan. "Native Chromatin Immunoprecipitation-Sequencing (ChIP-Seq) from Low Cell Numbers." In Chromatin Immunoprecipitation, 157–66. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-7380-4_14.
Full textHoeijmakers, Wieteke Anna Maria, and Richárd Bártfai. "Characterization of the Nucleosome Landscape by Micrococcal Nuclease-Sequencing (MNase-seq)." In Chromatin Immunoprecipitation, 83–101. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-7380-4_8.
Full textLudwig, Leif S., and Caleb A. Lareau. "Concomitant Sequencing of Accessible Chromatin and Mitochondrial Genomes in Single Cells Using mtscATAC-Seq." In Chromatin Accessibility, 269–82. New York, NY: Springer US, 2023. http://dx.doi.org/10.1007/978-1-0716-2899-7_14.
Full textStewart-Morgan, Kathleen R., and Anja Groth. "Profiling Chromatin Accessibility on Replicated DNA with repli-ATAC-Seq." In Chromatin Accessibility, 71–84. New York, NY: Springer US, 2023. http://dx.doi.org/10.1007/978-1-0716-2899-7_6.
Full textSoares, Mário A. F., and Diogo S. Castro. "Chromatin Immunoprecipitation from Mouse Embryonic Tissue or Adherent Cells in Culture, Followed by Next-Generation Sequencing." In Chromatin Immunoprecipitation, 53–63. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-7380-4_5.
Full textDiaz, Roxanne E., Aurore Sanchez, Véronique Anton Le Berre, and Jean-Yves Bouet. "High-Resolution Chromatin Immunoprecipitation: ChIP-Sequencing." In The Bacterial Nucleoid, 61–73. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-7098-8_6.
Full textBrahma, Sandipan, and Steven Henikoff. "CUT&RUN Profiling of the Budding Yeast Epigenome." In Methods in Molecular Biology, 129–47. New York, NY: Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2257-5_9.
Full textSridhar, Divya, and Aziz Aboobaker. "Monitoring Chromatin Regulation in Planarians Using Chromatin Immunoprecipitation Followed by Sequencing (ChIP-seq)." In Methods in Molecular Biology, 529–47. New York, NY: Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2172-1_28.
Full textLopez-Rubio, Jose-Juan, T. Nicolai Siegel, and Artur Scherf. "Genome-wide Chromatin Immunoprecipitation-Sequencing in Plasmodium." In Methods in Molecular Biology, 321–33. Totowa, NJ: Humana Press, 2012. http://dx.doi.org/10.1007/978-1-62703-026-7_23.
Full textRuan, Xiaoan, and Yijun Ruan. "Chromatin Interaction Analysis Using Paired-End Tag Sequencing (ChIA-PET)." In Tag-Based Next Generation Sequencing, 185–210. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2012. http://dx.doi.org/10.1002/9783527644582.ch12.
Full textConference papers on the topic "Chromatin sequencing"
Qiao, Yi, Xiaomeng Huang, and Gabor Marth. "Abstract 40: scBayes: A computational method to study tumor subclone-specific gene expression and chromatin accessibility using single-cell RNA sequencing and single-cell ATAC sequencing in combination of bulk DNA sequencing." In Abstracts: AACR Special Conference on Advancing Precision Medicine Drug Development: Incorporation of Real-World Data and Other Novel Strategies; January 9-12, 2020; San Diego, CA. American Association for Cancer Research, 2020. http://dx.doi.org/10.1158/1557-3265.advprecmed20-40.
Full textReports on the topic "Chromatin sequencing"
Gur, Amit, Edward Buckler, Joseph Burger, Yaakov Tadmor, and Iftach Klapp. Characterization of genetic variation and yield heterosis in Cucumis melo. United States Department of Agriculture, January 2016. http://dx.doi.org/10.32747/2016.7600047.bard.
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