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  • 1
    Publication Date: 2015-06-18
    Description: Cell-to-cell variation is a universal feature of life that affects a wide range of biological phenomena, from developmental plasticity to tumour heterogeneity. Although recent advances have improved our ability to document cellular phenotypic variation, the fundamental mechanisms that generate variability from identical DNA sequences remain elusive. Here we reveal the landscape and principles of mammalian DNA regulatory variation by developing a robust method for mapping the accessible genome of individual cells by assay for transposase-accessible chromatin using sequencing (ATAC-seq) integrated into a programmable microfluidics platform. Single-cell ATAC-seq (scATAC-seq) maps from hundreds of single cells in aggregate closely resemble accessibility profiles from tens of millions of cells and provide insights into cell-to-cell variation. Accessibility variance is systematically associated with specific trans-factors and cis-elements, and we discover combinations of trans-factors associated with either induction or suppression of cell-to-cell variability. We further identify sets of trans-factors associated with cell-type-specific accessibility variance across eight cell types. Targeted perturbations of cell cycle or transcription factor signalling evoke stimulus-specific changes in this observed variability. The pattern of accessibility variation in cis across the genome recapitulates chromosome compartments de novo, linking single-cell accessibility variation to three-dimensional genome organization. Single-cell analysis of DNA accessibility provides new insight into cellular variation of the 'regulome'.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4685948/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4685948/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Buenrostro, Jason D -- Wu, Beijing -- Litzenburger, Ulrike M -- Ruff, Dave -- Gonzales, Michael L -- Snyder, Michael P -- Chang, Howard Y -- Greenleaf, William J -- 5U54HG00455805/HG/NHGRI NIH HHS/ -- P50 HG007735/HG/NHGRI NIH HHS/ -- P50HG007735/HG/NHGRI NIH HHS/ -- T32 HG000044/HG/NHGRI NIH HHS/ -- T32HG000044/HG/NHGRI NIH HHS/ -- U19 AI057266/AI/NIAID NIH HHS/ -- U19AI057266/AI/NIAID NIH HHS/ -- U54 HG004558/HG/NHGRI NIH HHS/ -- UH2 AR067676/AR/NIAMS NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2015 Jul 23;523(7561):486-90. doi: 10.1038/nature14590. Epub 2015 Jun 17.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA [2] Program in Epithelial Biology and the Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, California 94305, USA. ; Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA. ; Program in Epithelial Biology and the Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, California 94305, USA. ; Fluidigm Corporation, South San Francisco, California 94080, USA. ; 1] Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA [2] Department of Applied Physics, Stanford University, Stanford, California 94025, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26083756" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Cell Compartmentation ; Cell Cycle/genetics ; Cell Line ; Cells/classification/*metabolism ; Chromatin/*genetics/*metabolism ; DNA/genetics/metabolism ; Epigenesis, Genetic ; *Epigenomics ; Genome, Human/genetics ; Humans ; Microfluidics ; Signal Transduction ; Single-Cell Analysis/*methods ; Transcription Factors/metabolism ; Transposases/metabolism
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2006-08-12
    Description: We present a method for sequencing DNA that relies on the motion of single RNA polymerase molecules. When a given nucleotide species limits the rate of transcription, polymerase molecules pause at positions corresponding to the rare base. An ultrastable optical trapping apparatus capable of base pair resolution was used to monitor transcription under limiting amounts of each of the four nucleotide species. From the aligned patterns of pauses recorded from as few as four molecules, we determined the DNA sequence. This proof of principle demonstrates that the motion of a processive nucleic acid enzyme may be used to extract sequence information directly from DNA.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1865524/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1865524/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Greenleaf, William J -- Block, Steven M -- GM057035/GM/NIGMS NIH HHS/ -- R01 GM057035/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 2006 Aug 11;313(5788):801.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Applied Physics, Stanford University, Stanford, CA 94305, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/16902131" target="_blank"〉PubMed〈/a〉
    Keywords: Adenosine Triphosphate/metabolism ; Base Pairing ; Cytidine Triphosphate/metabolism ; DNA-Directed RNA Polymerases/*metabolism ; Escherichia coli/enzymology ; Guanosine Triphosphate/metabolism ; Motion ; Sequence Analysis, DNA/*methods ; Templates, Genetic ; Uridine Triphosphate/metabolism
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2008-01-05
    Description: Riboswitches regulate genes through structural changes in ligand-binding RNA aptamers. With the use of an optical-trapping assay based on in situ transcription by a molecule of RNA polymerase, single nascent RNAs containing pbuE adenine riboswitch aptamers were unfolded and refolded. Multiple folding states were characterized by means of both force-extension curves and folding trajectories under constant force by measuring the molecular contour length, kinetics, and energetics with and without adenine. Distinct folding steps correlated with the formation of key secondary or tertiary structures and with ligand binding. Adenine-induced stabilization of the weakest helix in the aptamer, the mechanical switch underlying regulatory action, was observed directly. These results provide an integrated view of hierarchical folding in an aptamer, demonstrating how complex folding can be resolved into constituent parts, and supply further insights into tertiary structure formation.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2640945/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2640945/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Greenleaf, William J -- Frieda, Kirsten L -- Foster, Daniel A N -- Woodside, Michael T -- Block, Steven M -- GM057035/GM/NIGMS NIH HHS/ -- GM066275/GM/NIGMS NIH HHS/ -- R01 GM057035/GM/NIGMS NIH HHS/ -- R01 GM057035-12/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 2008 Feb 1;319(5863):630-3. doi: 10.1126/science.1151298. Epub 2008 Jan 3.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Applied Physics, Stanford University, Stanford, CA 94305, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18174398" target="_blank"〉PubMed〈/a〉
    Keywords: Adenine/chemistry/metabolism ; Aptamers, Nucleotide/*chemistry/metabolism ; Base Pairing ; DNA-Directed RNA Polymerases/metabolism ; Ligands ; *Nucleic Acid Conformation ; Optical Tweezers ; RNA, Messenger/*chemistry/metabolism ; Thermodynamics
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 4
    Publication Date: 2014-05-03
    Description: Transcription by RNA polymerase (RNAP) is interrupted by pauses that play diverse regulatory roles. Although individual pauses have been studied in vitro, the determinants of pauses in vivo and their distribution throughout the bacterial genome remain unknown. Using nascent transcript sequencing, we identified a 16-nucleotide consensus pause sequence in Escherichia coli that accounts for known regulatory pause sites as well as ~20,000 new in vivo pause sites. In vitro single-molecule and ensemble analyses demonstrate that these pauses result from RNAP-nucleic acid interactions that inhibit next-nucleotide addition. The consensus sequence also leads to pausing by RNAPs from diverse lineages and is enriched at translation start sites in both E. coli and Bacillus subtilis. Our results thus reveal a conserved mechanism unifying known and newly identified pause events.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4108260/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4108260/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Larson, Matthew H -- Mooney, Rachel A -- Peters, Jason M -- Windgassen, Tricia -- Nayak, Dhananjaya -- Gross, Carol A -- Block, Steven M -- Greenleaf, William J -- Landick, Robert -- Weissman, Jonathan S -- F32 GM100611/GM/NIGMS NIH HHS/ -- F32 GM108222/GM/NIGMS NIH HHS/ -- P50 GM102706/GM/NIGMS NIH HHS/ -- R01 GM038660/GM/NIGMS NIH HHS/ -- R01 GM102790/GM/NIGMS NIH HHS/ -- R37 GM057035/GM/NIGMS NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2014 May 30;344(6187):1042-7. doi: 10.1126/science.1251871. Epub 2014 May 1.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Cellular and Molecular Pharmacology, Howard Hughes Medical Institute, California Institute for Quantitative Biosciences, Center for RNA Systems Biology, University of California, San Francisco, San Francisco, CA 94158, USA. ; Department of Biochemistry, University of Wisconsin, Madison, WI 53706, USA. ; Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA 94158, USA. ; Department of Biological Sciences, Stanford University, Stanford, CA 94025, USA. Department of Applied Physics; Stanford University, Stanford, CA 94025, USA. ; Department of Genetics, Stanford University, Stanford, CA 94025, USA. wjg@stanford.edu landick@biochem.wisc.edu weissman@cmp.ucsf.edu. ; Department of Biochemistry, University of Wisconsin, Madison, WI 53706, USA. Department of Bacteriology, University of Wisconsin, Madison, WI 53706, USA. wjg@stanford.edu landick@biochem.wisc.edu weissman@cmp.ucsf.edu. ; Department of Cellular and Molecular Pharmacology, Howard Hughes Medical Institute, California Institute for Quantitative Biosciences, Center for RNA Systems Biology, University of California, San Francisco, San Francisco, CA 94158, USA. wjg@stanford.edu landick@biochem.wisc.edu weissman@cmp.ucsf.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24789973" target="_blank"〉PubMed〈/a〉
    Keywords: Base Sequence ; Codon, Initiator/*genetics ; Consensus Sequence ; DNA-Directed RNA Polymerases/metabolism ; Escherichia coli/*genetics/*metabolism ; *Gene Expression Regulation, Bacterial ; Peptide Chain Initiation, Translational/*genetics ; *Regulatory Elements, Transcriptional ; *Transcription, Genetic
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 5
    Publication Date: 2000-06-06
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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  • 6
    Publication Date: 2018
    Description: 〈p〉Powerful new technologies for perturbing genetic elements have recently expanded the study of genetic interactions in model systems ranging from yeast to human cell lines. However, technical artifacts can confound signal across genetic screens and limit the immense potential of parallel screening approaches. To address this problem, we devised a novel PCA-based method for correcting genome-wide screening data, bolstering the sensitivity and specificity of detection for genetic interactions. Applying this strategy to a set of 436 whole genome CRISPR screens, we report more than 1.5 million pairs of correlated "co-functional" genes that provide finer-scale information about cell compartments, biological pathways, and protein complexes than traditional gene sets. Lastly, we employed a gene community detection approach to implicate core genes for cancer growth and compress signal from functionally related genes in the same community into a single score. This work establishes new algorithms for probing cancer cell networks and motivates the acquisition of further CRISPR screen data across diverse genotypes and cell types to further resolve complex cellular processes.〈/p〉
    Electronic ISSN: 1744-4292
    Topics: Biology
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  • 7
    Publication Date: 2018-10-26
    Description: We present the genome-wide chromatin accessibility profiles of 410 tumor samples spanning 23 cancer types from The Cancer Genome Atlas (TCGA). We identify 562,709 transposase-accessible DNA elements that substantially extend the compendium of known cis-regulatory elements. Integration of ATAC-seq (the assay for transposase-accessible chromatin using sequencing) with TCGA multi-omic data identifies a large number of putative distal enhancers that distinguish molecular subtypes of cancers, uncovers specific driving transcription factors via protein-DNA footprints, and nominates long-range gene-regulatory interactions in cancer. These data reveal genetic risk loci of cancer predisposition as active DNA regulatory elements in cancer, identify gene-regulatory interactions underlying cancer immune evasion, and pinpoint noncoding mutations that drive enhancer activation and may affect patient survival. These results suggest a systematic approach to understanding the noncoding genome in cancer to advance diagnosis and therapy.
    Keywords: Medicine, Diseases, Online Only
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Geosciences , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 8
    Publication Date: 2014-05-01
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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