Genome-wide histone modification profiling of inner cell mass and trophectoderm of bovine blastocysts by RAT-ChIP
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Reidar Andreson | Ants Kurg | Andres Salumets | Tõnis Org | A. Salumets | A. Kurg | R. Andreson | Ülle Jaakma | Tõnis Org | Kati Hensen | Rita Kreevan | Elina Mark | Olav Sarv | Ü. Jaakma | K. Hensen | E. Mark | Rita Kreevan | O. Sarv | Kati Hensen
[1] J. Ruijter,et al. OccuPeak: ChIP-Seq Peak Calling Based on Internal Background Modelling , 2014, PloS one.
[2] Mazhar Adli,et al. Genome-wide chromatin maps derived from limited numbers of hematopoietic progenitors , 2010, Nature Methods.
[3] Miguel Manzanares,et al. Notch and hippo converge on Cdx2 to specify the trophectoderm lineage in the mouse blastocyst. , 2014, Developmental cell.
[4] Gonçalo R. Abecasis,et al. The Sequence Alignment/Map format and SAMtools , 2009, Bioinform..
[5] E. Rutgers,et al. A carrier-assisted ChIP-seq method for estrogen receptor-chromatin interactions from breast cancer core needle biopsy samples , 2013, BMC Genomics.
[6] O. Rando,et al. Mechanisms underlying nucleosome positioning in vivo. , 2014, Annual review of biophysics.
[7] S. Henikoff,et al. RSC-Associated Subnucleosomes Define MNase-Sensitive Promoters in Yeast. , 2019, Molecular cell.
[8] Tom H. Pringle,et al. The human genome browser at UCSC. , 2002, Genome research.
[9] Zongjin Li,et al. Dppa3 in pluripotency maintenance of ES cells and early embryogenesis , 2018, Journal of cellular biochemistry.
[10] Hatice S. Kaya-Okur,et al. CUT&Tag for efficient epigenomic profiling of small samples and single cells , 2019, Nature Communications.
[11] Fidel Ramírez,et al. deepTools2: a next generation web server for deep-sequencing data analysis , 2016, Nucleic Acids Res..
[12] J. Ahringer,et al. Systematic bias in high-throughput sequencing data and its correction by BEADS , 2011, Nucleic acids research.
[13] Hiroshi Kimura,et al. A chromatin integration labelling method enables epigenomic profiling with lower input , 2018, Nature Cell Biology.
[14] Feng Zhao,et al. An Alternative Approach to ChIP-Seq Normalization Enables Detection of Genome-Wide Changes in Histone H3 Lysine 27 Trimethylation upon EZH2 Inhibition , 2016, PloS one.
[15] M. G. Groot Koerkamp,et al. A mRNA landscape of bovine embryos after standard and MAPK-inhibited culture conditions: a comparative analysis , 2015, BMC Genomics.
[16] Clifford A. Meyer,et al. Cistrome: an integrative platform for transcriptional regulation studies , 2011, Genome Biology.
[17] Shane J. Neph,et al. DNase I–hypersensitive exons colocalize with promoters and distal regulatory elements , 2013, Nature Genetics.
[18] Li Wang,et al. Single-tube linear DNA amplification (LinDA) for robust ChIP-seq , 2011, Nature Methods.
[19] D. Shore,et al. Nucleosome Stability Distinguishes Two Different Promoter Types at All Protein-Coding Genes in Yeast. , 2015, Molecular cell.
[20] J. Shendure,et al. High Sensitivity Profiling of Chromatin Structure by MNase-SSP , 2019, Cell reports.
[21] Janet Rossant,et al. Cdx2 is required for correct cell fate specification and differentiation of trophectoderm in the mouse blastocyst , 2005, Development.
[22] Nathan C. Sheffield,et al. The accessible chromatin landscape of the human genome , 2012, Nature.
[23] P. Park. ChIP–seq: advantages and challenges of a maturing technology , 2009, Nature Reviews Genetics.
[24] James O J Davies,et al. How best to identify chromosomal interactions: a comparison of approaches , 2017, Nature Methods.
[25] Bing Ren,et al. Broad histone H3K4me3 domains in mouse oocytes modulate maternal-to-zygotic transition , 2016, Nature.
[26] Yong Zhang,et al. Distinct features of H3K4me3 and H3K27me3 chromatin domains in pre-implantation embryos , 2016, Nature.
[27] Steven L Salzberg,et al. Fast gapped-read alignment with Bowtie 2 , 2012, Nature Methods.
[28] B. Su,et al. Peak identification for ChIP-seq data with no controls. , 2013, Dong wu xue yan jiu = Zoological research.
[29] Chang Lu,et al. A microfluidic device for epigenomic profiling using 100 cells , 2015, Nature Methods.
[30] B. Roelen,et al. Usefulness of bovine and porcine IVM/IVF models for reproductive toxicology , 2014, Reproductive Biology and Endocrinology.
[31] N. Friedman,et al. Chromatin state dynamics during blood formation , 2014, Science.
[32] Joaquín Dopazo,et al. Qualimap: evaluating next-generation sequencing alignment data , 2012, Bioinform..
[33] Robert Månsson,et al. High-throughput ChIPmentation: freely scalable, single day ChIPseq data generation from very low cell-numbers , 2019, BMC Genomics.
[34] Bin Xiong,et al. Insights into Nucleosome Organization in Mouse Embryonic Stem Cells through Chemical Mapping , 2016, Cell.
[35] M. Mojsin,et al. Histone modifications on the promoters of human OCT4 and NANOG genes at the onset of neural differentiation of NT2/D1 cells , 2017, Biochemistry (Moscow).
[36] T. Fazzio,et al. High‐Resolution Chromatin Profiling Using CUT&RUN , 2019, Current protocols in molecular biology.
[37] Wei Li,et al. The overlooked fact : fundamental need of spike-in controls for 2 virtually all genome-wide analyses , 2015 .
[38] Y. Zhang,et al. Allelic reprogramming of the histone modification H3K4me3 in early mammalian development , 2016, Nature.
[39] D. Weitz,et al. Single-cell ChIP-seq reveals cell subpopulations defined by chromatin state , 2015, Nature Biotechnology.
[40] R. Gordân,et al. HDAC inhibitors cause site-specific chromatin remodeling at PU.1-bound enhancers in K562 cells , 2016, Epigenetics & Chromatin.
[41] Howard Y. Chang,et al. Transposition of native chromatin for fast and sensitive epigenomic profiling of open chromatin, DNA-binding proteins and nucleosome position , 2013, Nature Methods.
[42] Keiichiro Suzuki,et al. Efficient derivation of stable primed pluripotent embryonic stem cells from bovine blastocysts , 2018, Proceedings of the National Academy of Sciences.
[43] O. Rando,et al. Profiling of Pluripotency Factors in Single Cells and Early Embryos , 2019, Cell.
[44] Cory Y. McLean,et al. GREAT improves functional interpretation of cis-regulatory regions , 2010, Nature Biotechnology.
[45] Catalin C. Barbacioru,et al. Tracing the Derivation of Embryonic Stem Cells from the Inner Cell Mass by Single-Cell RNA-Seq Analysis , 2010, Cell stem cell.
[46] P. Ross,et al. DPPA3 prevents cytosine hydroxymethylation of the maternal pronucleus and is required for normal development in bovine embryos , 2014, Epigenetics.
[47] Nathan C. Sheffield,et al. ChIPmentation: fast, robust, low-input ChIP-seq for histones and transcription factors , 2015, Nature Methods.
[48] Yixian Zheng,et al. Low-Cell-Number Epigenome Profiling Aids the Study of Lens Aging and Hematopoiesis , 2015, Cell reports.
[49] K. Zhao,et al. ChIP-Seq: technical considerations for obtaining high-quality data , 2011, Nature Immunology.
[50] Aaron R. Quinlan,et al. Bioinformatics Applications Note Genome Analysis Bedtools: a Flexible Suite of Utilities for Comparing Genomic Features , 2022 .
[51] Shawn M. Gillespie,et al. A Multiplexed System for Quantitative Comparisons of Chromatin Landscapes. , 2016, Molecular cell.
[52] Alicia Oshlack,et al. A comparison of control samples for ChIP-seq of histone modifications , 2014, Front. Genet..
[53] R. D. Hawkins,et al. cChIP-seq: a robust small-scale method for investigation of histone modifications , 2015, BMC Genomics.
[54] Masashi Takahashi,et al. Comparing spatial expression dynamics of bovine blastocyst under three different procedures: in-vivo, in-vitro derived, and somatic cell nuclear transfer embryos. , 2015, The Japanese journal of veterinary research.
[55] Timothy J. Durham,et al. Systematic analysis of chromatin state dynamics in nine human cell types , 2011, Nature.
[56] M. Sirard,et al. Transcriptome profiling of bovine inner cell mass and trophectoderm derived from in vivo generated blastocysts , 2015, BMC Developmental Biology.
[57] Nathaniel D. Heintzman,et al. Histone modifications at human enhancers reflect global cell-type-specific gene expression , 2009, Nature.
[58] Aibin He,et al. CoBATCH for high-throughput single-cell epigenomic profiling , 2019, bioRxiv.
[59] H. Hao,et al. Transcriptome analyses of inner cell mass and trophectoderm cells isolated by magnetic-activated cell sorting from bovine blastocysts using single cell RNA-seq. , 2016, Reproduction in domestic animals = Zuchthygiene.
[60] H. Ng,et al. In vivo epigenomic profiling of germ cells reveals germ cell molecular signatures. , 2013, Developmental cell.
[61] Rosane Minghim,et al. InteractiVenn: a web-based tool for the analysis of sets through Venn diagrams , 2015, BMC Bioinformatics.
[62] T. Mikkelsen,et al. Genome-wide maps of chromatin state in pluripotent and lineage-committed cells , 2007, Nature.
[63] Data production leads,et al. An integrated encyclopedia of DNA elements in the human genome , 2012 .
[64] Michael D. Wilson,et al. ChIP-seq: using high-throughput sequencing to discover protein-DNA interactions. , 2009, Methods.
[65] J. Vermeesch,et al. Zygotes segregate entire parental genomes in distinct blastomere lineages causing cleavage-stage chimerism and mixoploidy , 2016, Genome research.
[66] Kenta Nakai,et al. Global gene expression of the inner cell mass and trophectoderm of the bovine blastocyst , 2012, BMC Developmental Biology.
[67] Daesik Kim,et al. Genome editing reveals a role for OCT4 in human embryogenesis , 2017, Nature.
[68] Wai Lim Ku,et al. Single-cell chromatin immunocleavage sequencing (scChIC-seq) to profile histone modification , 2019, Nature Methods.
[69] Christoph D. Schmid,et al. Rapid innovation in ChIP-seq peak-calling algorithms is outdistancing benchmarking efforts , 2011, Briefings Bioinform..
[70] Daniel J. Blankenberg,et al. Galaxy: A Web‐Based Genome Analysis Tool for Experimentalists , 2010, Current protocols in molecular biology.
[71] Katherine S. Pollard,et al. Features that define the best ChIP-seq peak calling algorithms , 2016, Briefings Bioinform..
[72] Mohammad M. Karimi,et al. An ultra-low-input native ChIP-seq protocol for genome-wide profiling of rare cell populations , 2015, Nature Communications.
[73] S. Henikoff,et al. Targeted in situ genome-wide profiling with high efficiency for low cell numbers , 2018, Nature Protocols.
[74] Helena Nord,et al. lobChIP: from cells to sequencing ready ChIP libraries in a single day , 2015, Epigenetics & Chromatin.
[75] Weiqun Peng,et al. Spatial clustering for identification of ChIP-enriched regions (SICER) to map regions of histone methylation patterns in embryonic stem cells. , 2014, Methods in molecular biology.
[76] Miguel Beato,et al. bwtool: a tool for bigWig files , 2014, Bioinform..