| 1. |
- Rasmussen, Morten, et al.
(författare)
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Ancient human genome sequence of an extinct Palaeo-Eskimo
- 2010
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Ingår i: Nature. - : Springer Science and Business Media LLC. - 0028-0836 .- 1476-4687. ; 463:7282, s. 757-762
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Tidskriftsartikel (refereegranskat)abstract
- We report here the genome sequence of an ancient human. Obtained from ∼4,000-year-old permafrost-preserved hair, the genome represents a male individual from the first known culture to settle in Greenland. Sequenced to an average depth of 20×, we recover 79% of the diploid genome, an amount close to the practical limit of current sequencing technologies. We identify 353,151 high-confidence single-nucleotide polymorphisms (SNPs), of which 6.8% have not been reported previously. We estimate raw read contamination to be no higher than 0.8%. We use functional SNP assessment to assign possible phenotypic characteristics of the individual that belonged to a culture whose location has yielded only trace human remains. We compare the high-confidence SNPs to those of contemporary populations to find the populations most closely related to the individual. This provides evidence for a migration from Siberia into the New World some 5,500 years ago, independent of that giving rise to the modern Native Americans and Inuit.
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| 2. |
- Ellis, A. D., et al.
(författare)
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Future Directions to Realize Ultra-High Bit-Rate Transmission Systems
- 2010
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Ingår i: Proceedings of OptoElectronics and Communications Conference, OECC 2010, Sapporo, Japan, 5-9 July 2010, invited paper..
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- In this paper we examine two potential future directions for the realization of ultra-high bit rate transmission systems.
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| 3. |
- Madin, Joshua S., et al.
(författare)
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A synthesis of bacterial and archaeal phenotypic trait data
- 2020
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Ingår i: Scientific data. - : Springer Science and Business Media LLC. - 2052-4463. ; 7:1
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Tidskriftsartikel (refereegranskat)abstract
- A synthesis of phenotypic and quantitative genomic traits is provided for bacteria and archaea, in the form of a scripted, reproducible workflow that standardizes and merges 26 sources. The resulting unified dataset covers 14 phenotypic traits, 5 quantitative genomic traits, and 4 environmental characteristics for approximately 170,000 strain-level and 15,000 species-aggregated records. It spans all habitats including soils, marine and fresh waters and sediments, host-associated and thermal. Trait data can find use in clarifying major dimensions of ecological strategy variation across species. They can also be used in conjunction with species and abundance sampling to characterize trait mixtures in communities and responses of traits along environmental gradients.
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| 4. |
- Slavík, Radan, et al.
(författare)
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All-optical phase and amplitude regenerator for next-generation telecommunications systems
- 2010
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Ingår i: Nature Photonics. - 1749-4885 .- 1749-4893. ; 4:10, s. 690-695
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Tidskriftsartikel (refereegranskat)abstract
- Fibre-optic communications systems have traditionally carried data using binary (on-off) encoding of the light amplitude. However, next-generation systems will use both the amplitude and phase of the optical carrier to achieve higher spectral efficiencies and thus higher overall data capacities. Although this approach requires highly complex transmitters and receivers, the increased capacity and many further practical benefits that accrue from a full knowledge of the amplitude and phase of the optical field more than outweigh this additional hardware complexity and can greatly simplify optical network design. However, use of the complex optical field gives rise to a new dominant limitation to system performance—nonlinear phase noise. Developing a device to remove this noise is therefore of great technical importance. Here, we report the development of the first practical (‘black-box’) all-optical regenerator capableof removing both phase and amplitude noise from binary phase-encoded optical communications signals.
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| 5. |
- Zhang, J., et al.
(författare)
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Combining mechanistic and machine learning models for predictive engineering and optimization of tryptophan metabolism
- 2020
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Ingår i: Nature Communications. - : Springer Science and Business Media LLC. - 2041-1723 .- 2041-1723. ; 11:1
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Tidskriftsartikel (refereegranskat)abstract
- Through advanced mechanistic modeling and the generation of large high-quality datasets, machine learning is becoming an integral part of understanding and engineering living systems. Here we show that mechanistic and machine learning models can be combined to enable accurate genotype-to-phenotype predictions. We use a genome-scale model to pinpoint engineering targets, efficient library construction of metabolic pathway designs, and high-throughput biosensor-enabled screening for training diverse machine learning algorithms. From a single data-generation cycle, this enables successful forward engineering of complex aromatic amino acid metabolism in yeast, with the best machine learning-guided design recommendations improving tryptophan titer and productivity by up to 74 and 43%, respectively, compared to the best designs used for algorithm training. Thus, this study highlights the power of combining mechanistic and machine learning models to effectively direct metabolic engineering efforts.
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| 6. |
- Almagro Armenteros, José Juan, et al.
(författare)
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SignalP 5.0 improves signal peptide predictions using deep neural networks
- 2019
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Ingår i: Nature Biotechnology. - : Springer Science and Business Media LLC. - 1087-0156 .- 1546-1696. ; 37:4, s. 420-423
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Tidskriftsartikel (refereegranskat)abstract
- Signal peptides (SPs) are short amino acid sequences in the amino terminus of many newly synthesized proteins that target proteins into, or across, membranes. Bioinformatic tools can predict SPs from amino acid sequences, but most cannot distinguish between various types of signal peptides. We present a deep neural network-based approach that improves SP prediction across all domains of life and distinguishes between three types of prokaryotic SPs.
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| 7. |
- Gunst, Jesper D., et al.
(författare)
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Efficacy of the TMPRSS2 inhibitor camostat mesilate in patients hospitalized with Covid-19-a double-blind randomized controlled trial
- 2021
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Ingår i: eClinicalMedicine. - : Elsevier. - 2589-5370. ; 35
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Tidskriftsartikel (refereegranskat)abstract
- Background: The trans-membrane protease serine 2 (TMPRSS2) is essential for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) cell entry and infection. Efficacy and safety of TMPRSS2 inhibitors in patients with coronavirus disease 2019 (Covid-19) have not been evaluated in randomized trials.Methods: We conducted an investigator-initiated, double-blind, randomized, placebo-controlled multicenter trial in patients hospitalized with confirmed SARS-CoV-2 infection from April 4, to December 31, 2020. Within 48 h of admission, participants were randomly assigned in a 2:1 ratio to receive the TMPRSS2 inhibitor camostat mesilate 200 mg three times daily for 5 days or placebo. The primary outcome was time to discharge or clinical improvement measured as ≥2 points improvement on a 7-point ordinal scale. Other outcomes included 30-day mortality, safety and change in oropharyngeal viral load. ClinicalTrials.gov Identifier: NCT04321096. EudraCT Number: 2020-001,200-42.Findings: 137 patients were assigned to receive camostat mesilate and 68 to placebo. Median time to clinical improvement was 5 days (interquartile range [IQR], 3 to 7) in the camostat group and 5 days (IQR, 2 to 10) in the placebo group (P = 0·31). The hazard ratio for 30-day mortality in the camostat compared with the placebo group was 0·82 (95% confidence interval [CI], 0·24 to 2·79; P = 0·75). The frequency of adverse events was similar in the two groups. Median change in viral load from baseline to day 5 in the camostat group was -0·22 log10 copies/mL (p <0·05) and -0·82 log10 in the placebo group (P <0·05).Interpretation: Under this protocol, camostat mesilate treatment was not associated with increased adverse events during hospitalization for Covid-19 and did not affect time to clinical improvement, progression to ICU admission or mortality.
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| 8. |
- Kaspersen, Jørn D., et al.
(författare)
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Generic structures of cytotoxic liprotides : nano-sized complexes with oleic acid cores and shells of disordered proteins
- 2014
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Ingår i: ChemBioChem. - : Wiley-VCH Verlagsgesellschaft. - 1439-4227 .- 1439-7633. ; 15:18, s. 2693-2702
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Tidskriftsartikel (refereegranskat)abstract
- The cytotoxic complex formed between alpha-lactalbumin and oleic acid (OA) has inspired many studies on protein-fatty acid complexes, but structural insight remains sparse. After having used small-angle X-ray scattering (SAXS) to obtain structural information, we present a new, generic structural model of cytotoxic protein-oleic acid complexes, which we have termed liprotides (lipids and partially denatured proteins). Twelve liprotides formed from seven structurally unrelated proteins and prepared by different procedures all displayed core-shell structures, each with a micellar OA core and a shell consisting of flexible, partially unfolded protein, which stabilizes the OA micelle. The common structure explains similar effects exerted on cells by different liprotides and is consistent with a cargo off-loading of the OA into cell membranes.
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| 9. |
- Nielsen, Henrik, et al.
(författare)
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A Brief History of Protein Sorting Prediction
- 2019
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Ingår i: The Protein Journal. - : Springer Science and Business Media LLC. - 1572-3887 .- 1875-8355. ; 38:3, s. 200-216
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Forskningsöversikt (refereegranskat)abstract
- Ever since the signal hypothesis was proposed in 1971, the exact nature of signal peptides has been a focus point of research. The prediction of signal peptides and protein subcellular location from amino acid sequences has been an important problem in bioinformatics since the dawn of this research field, involving many statistical and machine learning technologies. In this review, we provide a historical account of how position-weight matrices, artificial neural networks, hidden Markov models, support vector machines and, lately, deep learning techniques have been used in the attempts to predict where proteins go. Because the secretory pathway was the first one to be studied both experimentally and through bioinformatics, our main focus is on the historical development of prediction methods for signal peptides that target proteins for secretion; prediction methods to identify targeting signals for other cellular compartments are treated in less detail.
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| 10. |
- Sahin, Cagla, et al.
(författare)
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Structural basis for dityrosine-mediated inhibition of alpha-synuclein fibrillation
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- α-synuclein (aSyn) is a small intrinsically disordered protein which can self-assemble into highly organized β-sheet structures that are found to accumulate in plaques in the brain of Parkinson’s Disease patients. Oxidative stress has been shown to be important for aSyn and its self-assembly. Here we characterize the molecular and structural effects that mild oxidation has on aSyn monomer and its aggregation. Using a combination of biophysical methods, SAXS and native ion mobility mass spectrometry, we find that oxidation leads to formation of intramolecular dityrosine cross-linkages that reduce aSyn’s size by a factor of √2. MD simulations support our experimental results showing a stable and compact aSyn conformation that prevents self-assembly and amyloid formation by steric hindrance, suggesting an important role of mild oxidation in preventing amyloid formation.
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