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| 2. |
- Li, Shiyu, et al.
(författare)
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Label-Free Optical Detection of DNA Polymerase Docking on Solid-State Nanopore Arrays
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- Integration of motor enzymes with biological nanopores has enabled commercial DNA sequencing, yet studies of the similar principle applying to solid-state nanopores are limited. Here, we demonstrate the label-free optical detection of phi29 DNA polymerase (DNAP) docking onto truncated-pyramidal nanopores (TPP). Atomic layer deposition of hafnium oxide is employed to shrink the pore opening size of original silicon (Si) TPP to sub-10 nm. Ionic current measurements of single TPP of an opening size comparable to DNAP show that polymerase-DNA complexes can temporally dock onto the TPP with a certain docking orientation, while the majority are translocation events. A label-free optical detection method using Ca2+ sensitive dye is employed to detect the docking of DNAP on 5-by-5 nanopore arrays. The results of the proof-of-concept experiment show that this label-free detection strategy is capable of accessing the docking events of DNAP on solid-state nanopore arrays.
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| 3. |
- Olson, Nathan D., et al.
(författare)
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precisionFDA Truth Challenge V2: Calling variants from short- and long-reads in difficult-to-map regions
- 2020
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- The precisionFDA Truth Challenge V2 aimed to assess the state-of-the-art of variant calling in difficult-to-map regions and the Major Histocompatibility Complex (MHC). Starting with FASTQ files, 20 challenge participants applied their variant calling pipelines and submitted 64 variant callsets for one or more sequencing technologies (~35X Illumina, ~35X PacBio HiFi, and ~50X Oxford Nanopore Technologies). Submissions were evaluated following best practices for benchmarking small variants with the new GIAB benchmark sets and genome stratifications. Challenge submissions included a number of innovative methods for all three technologies, with graph-based and machine-learning methods scoring best for short-read and long-read datasets, respectively. New methods out-performed the 2016 Truth Challenge winners, and new machine-learning approaches combining multiple sequencing technologies performed particularly well. Recent developments in sequencing and variant calling have enabled benchmarking variants in challenging genomic regions, paving the way for the identification of previously unknown clinically relevant variants.
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| 4. |
- Aprile, E., et al.
(författare)
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Effective Field Theory and Inelastic Dark Matter Results from XENON1T
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- In this work we expand on the XENON1T nuclear recoil searches and study the individual signals of Dark Matter interactions from operators up to dimension-eight in a Chiral Effective Field Theory (ChEFT) as well as a model of inelastic Dark Matter using data from the two science runs of the detector totalling 1 tonne*year exposure. For these analyses we extended the region of interest from [4.9, 40.9]keVnr to [4.9, 54.4]keVnr to enhance our sensitivity for signals that peak at nonzero energies. We show that the data is consistent with a background only hypothesis, with small excesses in the models which peak between 20 and 50keVnr, obtaining a maximum local discovery significance of 1.7 for the VVs ChEFT model for a WIMP mass of 70GeV/c2, and 1.8 for an iDM particle of 50GeV/c2 with a mass splitting of 100keV/c2. For each model we report 90% confidence level upper limits. We also report limits on three benchmark models of WIMP interaction using ChEFT for which we investigate the effect of isospin breaking interactions, reporting up to 6 orders of magnitude weaker limits with respect to the isospin conserving case driven by cancellations in the expected rate.
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| 8. |
- Grüning, Björn, et al.
(författare)
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Bioconda: A sustainable and comprehensive software distribution for the life sciences
- 2017
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- We present Bioconda (https://bioconda.github.io), a distribution of bioinformatics software for the lightweight, multi-platform and language-agnostic package manager Conda. Currently, Bioconda offers a collection of over 3000 software packages, which is continuously maintained, updated, and extended by a growing global community of more than 200 contributors. Bioconda improves analysis reproducibility by allowing users to define isolated environments with defined software versions, all of which are easily installed and managed without administrative privileges.
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| 9. |
- Jia, Juan, 1979-, et al.
(författare)
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Heparanase cleavage of heparin modulates protease storage in mast cells
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- Overexpression of heparanase caused extensive degradation of heparan sulfate (HS), and elimination of heparanase resulted in non-degraded HS chains in mice. In this study, we have investigated the impact of heparanase in the processing of heparin and storage of proteases in mast cells. We used fetal skin mast cells (FSMCs) isolated from wild type (WT) embryos and embryos either overexpressing human heparanase (hpa-tg), or lacking heparanase (Hpse-KO). FSMCs from hpa-tg embryos produced substantially shorter heparin chains than did WT counterparts, whereas FSMCs from Hpse-KO embryos expressed longer chains than WT cells. Extensive fragmentation of heparin in hpa-tg FSMC caused losing of proteases in the cells; in contrast, increased storage of proteases was observed in Hpse-KO cells. These results provide the first in vivo evidence demonstrating that heparanase is responsible for processing of mast cell heparin. Control of heparin degradation by heparanase in mast cell may contribute to modulating protease storage in the cells.
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