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1.
Cell ; 177(7): 1781-1796.e25, 2019 06 13.
Article in English | MEDLINE | ID: mdl-31104845

ABSTRACT

DNA N6-adenine methylation (6mA) has recently been described in diverse eukaryotes, spanning unicellular organisms to metazoa. Here, we report a DNA 6mA methyltransferase complex in ciliates, termed MTA1c. It consists of two MT-A70 proteins and two homeobox-like DNA-binding proteins and specifically methylates dsDNA. Disruption of the catalytic subunit, MTA1, in the ciliate Oxytricha leads to genome-wide loss of 6mA and abolishment of the consensus ApT dimethylated motif. Mutants fail to complete the sexual cycle, which normally coincides with peak MTA1 expression. We investigate the impact of 6mA on nucleosome occupancy in vitro by reconstructing complete, full-length Oxytricha chromosomes harboring 6mA in native or ectopic positions. We show that 6mA directly disfavors nucleosomes in vitro in a local, quantitative manner, independent of DNA sequence. Furthermore, the chromatin remodeler ACF can overcome this effect. Our study identifies a diverged DNA N6-adenine methyltransferase and defines the role of 6mA in chromatin organization.


Subject(s)
Multienzyme Complexes/metabolism , Nucleosomes/enzymology , Oxytricha/enzymology , Protozoan Proteins/metabolism , Site-Specific DNA-Methyltransferase (Adenine-Specific)/metabolism , Tetrahymena thermophila/enzymology , Multienzyme Complexes/genetics , Nucleosomes/genetics , Oxytricha/genetics , Protozoan Proteins/genetics , Site-Specific DNA-Methyltransferase (Adenine-Specific)/genetics , Tetrahymena thermophila/genetics
2.
BMC Genomics ; 20(1): 1037, 2019 Dec 30.
Article in English | MEDLINE | ID: mdl-31888453

ABSTRACT

BACKGROUND: Whole-genome shotgun sequencing, which stitches together millions of short sequencing reads into a single genome, ushered in the era of modern genomics and led to a rapid expansion of the number of genome sequences available. Nevertheless, assembly of short reads remains difficult, resulting in fragmented genome sequences. Ultimately, only a sequencing technology capable of capturing complete chromosomes in a single run could resolve all ambiguities. Even "third generation" sequencing technologies produce reads far shorter than most eukaryotic chromosomes. However, the ciliate Oxytricha trifallax has a somatic genome with thousands of chromosomes averaging only 3.2 kbp, making it an ideal candidate for exploring the benefits of sequencing whole chromosomes without assembly. RESULTS: We used single-molecule real-time sequencing to capture thousands of complete chromosomes in single reads and to update the published Oxytricha trifallax JRB310 genome assembly. In this version, over 50% of the completed chromosomes with two telomeres derive from single reads. The improved assembly includes over 12,000 new chromosome isoforms, and demonstrates that somatic chromosomes derive from variable rearrangements between somatic segments encoded up to 191,000 base pairs away. However, while long reads reduce the need for assembly, a hybrid approach that supplements long-read sequencing with short reads for error correction produced the most complete and accurate assembly, overall. CONCLUSIONS: This assembly provides the first example of complete eukaryotic chromosomes captured by single sequencing reads and demonstrates that traditional approaches to genome assembly can mask considerable structural variation.


Subject(s)
Chromosomes , Ciliophora/genetics , Genetic Variation , High-Throughput Nucleotide Sequencing , Sequence Analysis, DNA , Computational Biology/methods , Genome , Genomics/methods , Hybridization, Genetic
3.
Genome Biol ; 22(1): 278, 2021 09 23.
Article in English | MEDLINE | ID: mdl-34556174

ABSTRACT

High-throughput CRISPR-Cas9 knockout screens are widely used to evaluate gene essentiality in cancer research. Here we introduce a probabilistic modeling framework, Analysis of CRISPR-based Essentiality (ACE), that accounts for multiple sources of variation in CRISPR-Cas9 screens and enables new statistical tests for essentiality. We show using simulations that ACE is effective at predicting both absolute and differential essentiality. When applied to publicly available data, ACE identifies known and novel candidates for genotype-specific essentiality, including RNA m6-A methyltransferases that exhibit enhanced essentiality in the presence of inactivating TP53 mutations. ACE provides a robust framework for identifying genes responsive to subtype-specific therapeutic targeting.


Subject(s)
CRISPR-Cas Systems , Genes, Essential , Models, Statistical , Software , Genes, p53 , Genotype , Mutation
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