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As in the previous analyses, individual identity was included as a random effect. Tukey post-hoc tests were employed after likelihood ratio testing to identify specific gut section pairs where the OTU in question exhibited significant variation in abundance. In specific cases, phylogenetic placement was used to provide...
10.1186/s12866-020-01859-8
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Biochemistry, Genetics and Molecular Biology
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Acknowledgements Access to computing and storage facilities owned by parties and projects contributing to the National Grid Infrastructure MetaCentrum , provided under the programme "Projects of Large Infrastructure for Research, Development, and Innovations" ( LM2010005 ), is greatly appreciated. We acknowledge the...
10.1186/s12866-020-01859-8
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Biochemistry, Genetics and Molecular Biology
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Availability of data and materials Sequencing data associated with this project are archived in European Nucleotide Archive (project accession numbers: PRJEB37682 and PRJEB37678). Accession numbers for each sample are available in Table S2.
10.1186/s12866-020-01859-8
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Biochemistry, Genetics and Molecular Biology
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Predicting biomedical outcomes from Magnetoencephalography and Electroencephalography (M/EEG) is central to applications like decoding, brain-computer-interfaces (BCI) or biomarker development and is facilitated by supervised machine learning. Yet, most of the literature is concerned with classification of outcomes def...
10.1016/j.neuroimage.2020.116893
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Neuroscience
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, 2008; D€ ahne et al. , 2014a , 2013) , whereas Dmochowski et al. (2012) have proposed variants of Canonical Correlation Analysis (CCA) (Hotelling, 1992; D€ ahne et al. , 2014b) without orthogonality constraint to focus on shared directions of variation between related datasets or by proposing shared envelope corr...
10.1016/j.neuroimage.2020.116893
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Neuroscience
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, 2017 ). Yet, systematic comparisons against additional baselines and competing regression models on larger datasets and other outcomes are missing. Importantly, the majority of approaches have focused on event-level prediction problems instead of subject-level prediction and have never been systematically compared in...
10.1016/j.neuroimage.2020.116893
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Neuroscience
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Event-level regression: Cortico-muscular coherence We first focused on event-level regression of continuous electromyogram (EMG) from MEG beta activity. Data acquisition. We analyzed one anonymous subject from the data presented in (Schoffelen et al. , 2011) and provided by the FieldTrip website to study cortico-musc...
10.1016/j.neuroimage.2020.116893
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Neuroscience
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Data processing and feature engineering. The analysis closely followed the continuous outcome decoding example from the MNE-Python website (Gramfort et al. , 2014). We considered 200 s of joint MEG-EMG data. First, we filtered the EMG above 20 Hz using a time-domain firwin filter design, a Hamming window with 0. 02 pa...
10.1016/j.neuroimage.2020.116893
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Neuroscience
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Subject-level regression with MEG: Age prediction In a second MEG data example, we considered a subject-level regression problem in which we focused on age prediction using the Cam-CAN dataset (Taylor et al. , 2017; Shafto et al. , 2014). Data acquisition. Cam-CAN dataset contains 643 subjects with resting state MEG d...
10.1016/j.neuroimage.2020.116893
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Neuroscience
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Four Head-Position Indicator (HPI) coils were used to track head motion. For subsequent source-localization the head shape was digitized. The recording lasted about 8 min. For additional details on MEG acquisition, please consider the reference publications on the Cam-CAN dataset (Taylor et al. , 2017; Shafto et al. ,...
10.1016/j.neuroimage.2020.116893
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Neuroscience
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Concretely, we used the MNE inverse operator as any other spatial filter by multiplying the covariance with it from both sides. We then retained the diagonal elements which provides estimates of the source power. To obtain spatial smoothing and reduce dimensionality, we averaged the MNE solution using a cortical parcel...
10.1016/j.neuroimage.2020.116893
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Neuroscience
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Since no continuous head monitoring data were available at the time of our study, we performed no movement compensation. The origin of internal and external multipolar moment space was estimated based on the head-digitization. To mitigate ocular and cardiac artifacts, we applied the signal space projection method (SSP)...
10.1016/j.neuroimage.2020.116893
article
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Neuroscience
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Subject-level regression with EEG: Age prediction In a third data example, we considered a subject-level age prediction problem, as in Cam-CAN, but focused on EEG from the Temple University (TUH) EEG Corpus (Harati et al. , 2014) , one of the largest publicly available database of clinical EEG recordings. This ongoing...
10.1016/j.neuroimage.2020.116893
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2,020
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Neuroscience
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Unfortunately, the absence of associated MRI data prevented us from conducting source localization. Data acquisition. We used the TUH "Abnormal EEG Corpus", a subset of TUH EEG Corpus that have been annotated as normal or abnormal by medical experts. From this dataset we focussed on the 1385 healthy patients, from both...
10.1016/j.neuroimage.2020.116893
article
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2,020
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Neuroscience
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, 2014). Data processing, feature engineering and model evaluation. We applied minimal preprocessing to the raw EEG data. We first selected the subset of 21 electrodes common to all subjects (A1, A2, C3, C4, CZ, F3, F4, F7, F8, FP1, FP2, FZ, O1, O2, P3, P4, PZ, T3, T4, T5, T6). We then discarded the first 60 s of every...
10.1016/j.neuroimage.2020.116893
article
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2,020
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Neuroscience
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While the rank was reduced by one by the use of a common average reference, as we used a subset of channels common to all subjects the data are actually full rank. Otherwise, we followed the same feature engineering and modeling pipeline used for the Cam-CAN data (See section Subject-level regression with MEG: Age pred...
10.1016/j.neuroimage.2020.116893
article
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2,020
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Neuroscience
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Statistical modeling We used ridge regression (Hoerl and Kennard, 1970) to predict from the vectorized covariance matrices and tuned its regularization parameter by generalized cross-validation (Golub et al. , 1979) on a logarithmic grid of 100 values in ½10 À5 ; 10 3 on each training fold of a 10-fold cross-valida...
10.1016/j.neuroimage.2020.116893
article
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2,020
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Neuroscience
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Software All analyses were performed in Python 3. 7 using the Scikit-Learn software (Pedregosa et al. , 2011) , the MNE software for processing M/EEG data (Gramfort et al. , 2014) and the PyRiemann package (Congedo et al. , 2013) for manipulating Riemannian objects. We used the R-programming language and its ecosy...
10.1016/j.neuroimage.2020.116893
article
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2,020
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Neuroscience
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Event-level regression with MEG: Predicting continuous muscle contraction We then probed the regression models on real MEG data where the true data-generating mechanism is not a priori known and multiple model violations may occur simultaneously. In a first step, we considered a problem where the unit of observation wa...
10.1016/j.neuroimage.2020.116893
article
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2,020
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Neuroscience
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Subject-level regression with MEG: Predicting age We then turned our attention to a regression problem that imposes the important model violation of varying source geometry due to individual anatomy while providing a clean outcome with virtually no measurement noise: predicting age from MEG. We analyzed resting-state M...
10.1016/j.neuroimage.2020.116893
article
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2,020
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Neuroscience
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Subject-level regression with clinical EEG: Predicting age The results on subject-level regression based on MEG suggest the importance of model violations due to individual head geometry. Importantly, with traditional cryogenic MEG, the sensor array is not fixed relative to the head, rendering head-positioning and head...
10.1016/j.neuroimage.2020.116893
article
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2,020
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All other models performed better than chance, with Riemann clearly leading, followed by SPoC and diag. Those results are consistent with our simulations in Fig. 2(B ) in which the only model violation comes from individual mixing matrices. The performance and ordering of the models in the TUH data is also consistent w...
10.1016/j.neuroimage.2020.116893
article
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Riemannian methods can also be operated in low-rank settings (Sabbagh et al. , 2019). However, model order search may be more complicated as the best model may be anywhere in the spectrum. This can lead to increased computation times, which may be prohibitive in realtime settings such as BCI (Lotte et al. , 2007 (Lot...
10.1016/j.neuroimage.2020.116893
article
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2,020
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Neuroscience
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Yet, these findings did not rule out that leadfields themselves were not predictive of the outcome. We, therefore, derived a novel error-decomposition technique from the statistical framework presented in Fig. 1 to estimate the sensitivity of our M/EEG regression models to anatomy, spatially uniform power and topograp...
10.1016/j.neuroimage.2020.116893
article
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Neuroscience
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Conclusion Our study has investigated learning continuous outcomes from M/ EEG signal power from the perspective of generative models. Across datasets and electrophysiological modalities, the log-linear model turned out to be more appropriate. In the light of common empirical model violations and preprocessing options,...
10.1016/j.neuroimage.2020.116893
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Neuroscience
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This could potentially facilitate data collection and shift the strategy towards betting on the law of large numbers: Assembling an MEG dataset in the order of thousands is easier when collecting MRI is not a prerequisite. It is worthwhile to consider important limitations of this study. Unfortunately, we have not had ...
10.1016/j.neuroimage.2020.116893
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Neuroscience
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Acknowledgements This work was supported by a 2018 "m edecine num erique" (for digital medicine) thesis grant issued by Inserm ( French national institute of health and medical research) and Inria (French national research institute for the digital sciences ). It was also partly supported by the European Research Co...
10.1016/j.neuroimage.2020.116893
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2,020
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Neuroscience
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, 2001; Freschet et al. , 2010) , suggesting the importance of nutrient storage under nutrient-poor environments. SRL generally showed a positive correlation with relative growth rate (RGR) (Reich et al. , 1998; Comas and Eissentat, 2004) , suggesting that SRL can be related to whole-plant economics (Kramer-Walter et...
10.1093/jxb/eraa491
article
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2,020
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Agricultural and Biological Sciences
https://openalex.org/fields/11
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We quantified 18 plant traits (8 belowground traits, 8 aboveground traits, and 2 whole plant traits) and yield for 57 wheat varieties used in France (especially in the Paris Basin), representing a broad range of modern selection histories, and analyzed trait syndromes among these varieties. We also compared the intras...
10.1093/jxb/eraa491
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Agricultural and Biological Sciences
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, Canada). Images were analysed with the WinRHIZO TM software to determine root length and average root diameter. Specific root length (SRL, m g -1 ) was computed as the root length-to-dry mass ratio. Following root morphology analysis, the sample was weighted and dried for 48 h at 105°C. Root dry matter content (RDMC,...
10.1093/jxb/eraa491
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2,020
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Agricultural and Biological Sciences
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Strictly speaking, our data were not sufficient to compute the Relative Growth Rate (RGR, g day -1 ), as RGR often decreases with increasing plant size (Paine et al. , 2012). Still, we computed the plant dry matter produced at the end of the 58 days growing period for each wheat variety as DM = DMt58 -DMt0; where DMt5...
10.1093/jxb/eraa491
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Agricultural and Biological Sciences
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Use of existing data sets to retrieve Pooideae trait values The comparison of intra-species variation of trait values for wheat with intra-species variation of traits for other Pooideae species was not possible as there is no sufficient data on within-species trait variation in wild species for that many traits. We thu...
10.1093/jxb/eraa491
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Agricultural and Biological Sciences
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, 2011 ; this database contains plant trait data collected worldwide): RDMC, RNC, SRL, average root diameter, SLA, LNC, height and seed mass. Values for RDMC, RNC, SRL, average root diameter, SLA, LNC, height and seed mass were available for 11, 37, 21, 32, 154, 14, 289 and 386 species, respectively. When several valu...
10.1093/jxb/eraa491
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Agricultural and Biological Sciences
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Statistical analyses All statistical analyses were carried out using JMP Pro17 (SAS Software). To test the level of trait variability for RDMC, RNC, SRL, average root diameter, SLA, LNC, Height, Seed mass and N uptake capacities, among wheat varieties and among Pooideae species, the coefficients of variation (i. e. sta...
10.1093/jxb/eraa491
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Agricultural and Biological Sciences
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For instance, when values for a given plant trait were available for n species in the TRY database with n<57, random sampling for n varieties was performed on our wheat dataset. When TRY database included more than 57 species for a trait, random sampling of 57 species was performed on the TRY database data. We thus com...
10.1093/jxb/eraa491
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Agricultural and Biological Sciences
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The last column indicates when it has been possible to compare the variability of a given trait between varieties and between Pooideae species using the TRY-database or the Grassein et al. (2015).
10.1093/jxb/eraa491
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Agricultural and Biological Sciences
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ACKNOWLEDGEMENTS The authors thank the ANR (French Agence Nationale pour la Recherche) for funding allocation to the project Wheatamix , and the INRAE meta-programme EcoServ for funding to the project SolFaMi. We also acknowledge the use of data retrieved from the database of the TRY initiative on plant traits [h...
10.1093/jxb/eraa491
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2,020
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Agricultural and Biological Sciences
https://openalex.org/fields/11
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DATA ACCESSIBILITY Data available from the TRY database: Kattge, J. , Bönisch, G. , Günther, A. , Wright, I. , Zanne, A. , Wirth, C. , Reich, P. B. and the TRY Consortium (2011) TRY -Categorical Traits Dataset. Data from: TRY -a global database of plant traits. TRY File Archive https://www. try-db. org/TryWeb/Data. ...
10.1093/jxb/eraa491
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Agricultural and Biological Sciences
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data set (n = number of Pooideae species considered). from https://academic. oup. com/jxb/advance-article/doi/10. 1093/jxb/eraa491/5932789 by RU Inst Voor Aardwetens Schappen/University Library Utrecht user on 22 Oct Height Ear/Plant SeedMass YRresist Unit Ears plant cm g % -1 Meaning Mean height of the main shoot Mean...
10.1093/jxb/eraa491
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Agricultural and Biological Sciences
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m -2 Seed yield at harvest 8 weeks 8 weeks 8 weeks 8 weeks 8 weeks 8 weeks 6 days Tillering to flowering Compilation of data from ARVALIS, and Greenhouse conditions in sand and hydroponic solution, Site: Lyon Greenhouse conditions in sand and hydroponic solution, Site: Lyon Greenhouse conditions in sand and hydroponic ...
10.1093/jxb/eraa491
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Agricultural and Biological Sciences
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2015 (n= 8) Grassein et al. 2015 (n= 8) ----- RootAngle Degree Mean root angle 6 days Hydroponic growth in a 2D rhyzotron, - Site: Clermont b) Above-ground traits SLA cm². g -1 Flag leaf area per flag leaf dry mass Flowering Field conditions, 170 plants m -², TRY database (n= 154) Site: Grignon LNC % Flag leaf nitrogen...
10.1093/jxb/eraa491
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Agricultural and Biological Sciences
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Observational Cohort Study The study protocol of the BEYOND-SWIFT registry has been registered (NCT03496064), and details have been published previously. 18 n brief, the registry is a retrospective, international, multicenter, nonrandomized observational study set up to investigate the safety and efficacy of a market-r...
10.1161/strokeaha.119.026606
article
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2,020
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false
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Medicine
https://openalex.org/fields/27
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Variables and Image Analysis Local investigators collected data on OAC medication before stroke onset and records of coagulation assays, which were performed according to local standards. We defined tandem occlusion as the presence of an intracranial large vessel occlusion and >90% extracranial cervical stenosis or occ...
10.1161/strokeaha.119.026606
article
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2,020
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Medicine
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The rationale for this model was the combination of known predictors of sICH following EVT [29] [30] [31] [32] [33] [34] and baseline differences between patients experiencing sICH and those who did not (Table V in the online-only Data Supplement). Patients with missing data items were excluded from the multivariable...
10.1161/strokeaha.119.026606
article
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2,020
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Medicine
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Systematic Review and Meta-Analysis We performed a systematic review and meta-analysis conforming to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement 35 and the Meta-Analysis of Observational Studies in Epidemiology checklist 36 (for further details, search strategy, and statistics, ...
10.1161/strokeaha.119.026606
article
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2,020
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Medicine
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Standard Protocol Approvals, Registrations, and Patient Consents Ethical approval was granted by local ethical standards committees (see Table II in the online-only Data Supplement for details of each center). Additionally, ethical approval was obtained for centrally pooling the data in Bern (KEK Bern, Bern, Switzerl...
10.1161/strokeaha.119.026606
article
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Medicine
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Meta-Analysis The database searches and citation tracking yielded 751 hits. After removing duplicates, 381 abstracts and 45 full-text records were screened as potentially relevant. In total, 14 publications met the inclusion criteria of reporting the risk of sICH after EVT for large vessel occlusion in AIS patients wit...
10.1161/strokeaha.119.026606
article
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2,020
true
false
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Medicine
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Using the proteins enriched in the NF186-BirA* sample (Fig. 1e ), we generated a protein interaction network using Cytoscape and the STRING database of protein-protein association networks 29, 30. This network revealed a module with previously known AIS functions (Ankyrins and Spectrins, yellow), a module not previous...
10.1038/s41467-019-13658-5
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Biochemistry, Genetics and Molecular Biology
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Biotinylated proteins were detected using Alexa488-conjugated Streptavidin. Scale bar = 5 μm. c, d The number of peptide spectral matches (PSMs) for each biotinylated protein identified by mass spectrometry and shown at different scales. Known AIS and NF186-interacting proteins are indicated in red. The solid line is t...
10.1038/s41467-019-13658-5
article
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2,020
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Biochemistry, Genetics and Molecular Biology
https://openalex.org/fields/13
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Transfection of hippocampal neurons was performed using Lipofectamine 2000 53. Human embryonic kidney (HEK293T) (Cat#CRL-3216, RRID:CVCL_0063) cells and COS7 Cells (Cat#CRL-1651, RRID:CVCL_0224) were purchased from ATCC and cultured on cell culture dishes at 37 °C in Dulbecco's Modified Eagle Media (DMEM) containing 1...
10.1038/s41467-019-13658-5
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Biochemistry, Genetics and Molecular Biology
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The proteins in supernatants were denatured in Laemmli sample buffer and then subjected to SDS-PAGE. The electrophoretically separated proteins were transferred to a polyvinylidene difluoride membrane, blocked with 5% skim milk, and immunoblotted with each of the primary antibodies and in turn with peroxidaseconjugated...
10.1038/s41467-019-13658-5
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Biochemistry, Genetics and Molecular Biology
https://openalex.org/fields/13
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Peak lists were generated using PAVA software 66. All generated peak lists were searched against the rat subset of the UniProt database (UniprotKB 2017. 11. 01) using Protein Prospector 67. The database search was performed with the following parameters: a mass tolerance of 20 ppm for precursor masses; 30 ppm for MS/...
10.1038/s41467-019-13658-5
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2,020
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Biochemistry, Genetics and Molecular Biology
https://openalex.org/fields/13
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Proteins were included if their fold change was >2 and at least ten peptides were found in one dataset. Interactions with a confidence score above 0. 40 were included. Black line thickness was mapped to STRING interaction score and node size was set to the logarithm of the fold change. The size of the "Nfasc" node and ...
10.1038/s41467-019-13658-5
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Biochemistry, Genetics and Molecular Biology
https://openalex.org/fields/13
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Fourteen days in vitro (DIV) neurons were fixed using 4% PFA in PEM (80 mM Pipes, 5 mM EGTA, and 2 mM MgCl 2 , pH 6. 8) for 10 min. After blocking, they were incubated with primary antibodies overnight at 4 °C, then with DNA-PAINT secondary antibodies (Ultivue) for 1 h at room temperature. DNA-PAINT imaging was perform...
10.1038/s41467-019-13658-5
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Biochemistry, Genetics and Molecular Biology
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Acknowledgements The work reported here was supported by the following research grants: NIH NS044916 (MNR); NIH NS069688 (MNR); GM103481 (ALB), CNRS ATIP AO2016 (CL), and by the Dr. Miriam and Sheldon G. Adelson Medical Research Foundation (ALB and MNR). We thank Dr. Jonathan Terman ( UT Southwestern ) ...
10.1038/s41467-019-13658-5
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Biochemistry, Genetics and Molecular Biology
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Data availability All data generated or analyzed during this study, including mass spectrometry data sets, are available from the corresponding author upon request. All proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD016272. A supplem...
10.1038/s41467-019-13658-5
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Biochemistry, Genetics and Molecular Biology
https://openalex.org/fields/13
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The GCM repeatedly affirms the need for migration (and migrants) to be better documented (as in Objective 1 on data, Objective 3 on information and Objective 4 on identity documents). Border management and biometrics are also about the systematic documentation of people and flows. The GCM calls for systematic exchange ...
10.1080/01436597.2020.1768065
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Social Sciences
https://openalex.org/fields/33
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Acknowledgements I am grateful to the editors of this special issue as well as to three anonymous reviewers for helpful comments.
10.1080/01436597.2020.1768065
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Social Sciences
https://openalex.org/fields/33
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Weakly nonlinear models have been developed and used for wave simulation and prediction based on expanding Eulerian wave properties up to the second-order in wave steepness (e. g. , Zhang et al. , 1996 Zhang et al. , , 1999)) , which for instance allows separating free-and bound-wave components in wave measurements. A...
10.1016/j.oceaneng.2020.107659
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Earth and Planetary Sciences
https://openalex.org/fields/19
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Experimental and numerical frameworks Applications presented hereafter are based on surface elevations measured in laboratory experiments and computed in corresponding numerical simulations. Both data sets are referred to full scale wave parameters, but they are both performed at a * = 1:50 geometric scale (correspond...
10.1016/j.oceaneng.2020.107659
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Earth and Planetary Sciences
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Fig. 10 shows time series of surface elevations for these wave groups in cases A, E and H, compared to predictions of the linear (LWT), linear corrected (LWT-CDR), and nonlinear (ICWM) models, using experimental (a, c, e) and numerical (b, d, f) data. For each case, only small differences due to experimental noise can...
10.1016/j.oceaneng.2020.107659
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Earth and Planetary Sciences
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Influence of experimental noise on wave prediction The prediction misfits based on numerical and experimental reference data are compared in Fig. 15 , at gauges 20, 21, and 22, for all cases listed in Table 1 , using the linear (LWT) or nonlinear (ICWM) algorithms. To better assess the effect of experimental noise on ...
10.1016/j.oceaneng.2020.107659
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Note that higher-order wave models (e. g. , HOS, MNLS) are expected to further improve the prediction accuracy, but only provided that the assimilation procedure yields the correct initial model parameters, which becomes increasingly complex and time-consuming when the model order increases. Using such models to propag...
10.1016/j.oceaneng.2020.107659
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Earth and Planetary Sciences
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Acknowledgments This work was supported by Naval Group and École Centrale de Nantes (ECN) through their Joint Laboratory for Marine Technology , and by the PREDEMO-NAV project grant ANR-15-ASTR-0006 , of the French Agency for National Research. SG also acknowledges support from the US National Science Foundat...
10.1016/j.oceaneng.2020.107659
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Earth and Planetary Sciences
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Furthermore, in support of these field campaigns, the local sounding network was enhanced by the addition of high-frequency fixed and mobile site launches during intense operational periods (IOPs), and a 3-D Lightning Mapping Array (LMA) operated in Córdoba, central Argentina. All these observations provided an unprece...
10.1029/2020jd032856
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Physics and Astronomy
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Datasets This work examines a case study of severe weather that took place on December 11, 2018 in east-central Córdoba Province in central Argentina during the RELAMPAGO-CACTI field campaigns. RELAMPAGO was a joint project between the U. S. , Argentina, and Brazil. During its IOP (from 1 November -18 December 2018) RE...
10.1029/2020jd032856
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Physics and Astronomy
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Advanced Baseline Imager (ABI) ABI is the primary instrument on the NOAA/NASA GOES-16/17 satellite. ABI is a multichannel passive imaging radiometer designed to observe Earth with higher temporal, spatial, and radiometric resolution than previous imagers. This instrument has multiple scan modes available with different...
10.1029/2020jd032856
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Physics and Astronomy
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Satellite Observations ABI dataset was parallax corrected based on cloud-top-height. This is a simple correction that is not expected to affect the validity of the results presented in Section 4 given that the analyzed storm is an isolated system and that a radius of 20-km around MinIR was used to analyze spaceborne wi...
10.1029/2020jd032856
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Physics and Astronomy
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(2013) HID algorithm available in the CSU_RadarTools open-source software package (https://github. com/CSU-Radarmet/CSU_RadarTools). This algorithm was applied to the dual-polarization RMA1 dataset in polar coordinates and gridded using the nearest neighbor approach onto a 1-km horizontal and vertical resolution grid f...
10.1029/2020jd032856
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Physics and Astronomy
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In addition to providing useful nowcasting capabilities, storm identification and tracking can also provide information suitable for the study of the physical mechanisms of storm evolution (e. g. , Dixon and Wiener 1993). In this work, a cell was identified from the radar dataset as a contiguous region with Ze ≥ 35 dBZ...
10.1029/2020jd032856
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Physics and Astronomy
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These fast-evolving cooling and warming signatures could be analyzed in more detail with high resolution modeling studies capable of representing the storms' dynamics providing enhanced knowledge of storms' dynamics. It is important to note that the pulsing behavior in MinIR is smoothed to an almost indistinguishable s...
10.1029/2020jd032856
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Physics and Astronomy
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Acknowledgments This research was supported by the National Science Foundation through Grant AGS-1661719. Additional funding for this study was provided by the U. S. Department of Energy Office of Science Biological and Environmental Research as part of the Atmospheric System Research Program. Pacific Northwest N...
10.1029/2020jd032856
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Physics and Astronomy
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Primer oligonucleotides have been described in 16, 17. ChIP-seq, RNA-seq and NGS NGS sequencing of XP genes. Sample preparation for ChIP-seq and RNA-seq as well as NGS sequencing was described in 17, 25. The raw and processed ChIP-seq data are available at GEO: http://www. ncbi. nlm. nih. gov/geo/query/acc. cgi?acc=G...
10.1038/s41598-020-57999-4
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Biochemistry, Genetics and Molecular Biology
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Acknowledgements We are grateful to E. Compe for fruitful discussions. We thank B. Jost and his team for RNA-seq and ChiP-seq sequencing as well as the IGBMC cell culture facilities. A. E. was sponsored by the ERC and AFM grants; M-A. R. was supported by French Ministère des Affaires Etrangères and by an Ins...
10.1038/s41598-020-57999-4
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Biochemistry, Genetics and Molecular Biology
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06 U/µL of Taq DNA polymerase. PCR running conditions were as follows: initial denaturation at 94°C for 4 min followed by 36 cycles each at 92°C in 30 s, 1 min at 52°C, 45 s at 72°C, and with a final extension step at 72°C for 5 min. Electropherograms were analyzed, and allele sizes were determined using GeneMapper ® s...
10.1002/ece3.6944
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Biochemistry, Genetics and Molecular Biology
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(2006) for P. officinalis (54°C). This first test was performed on an ABI 3500XL sequencer (Life technologies) using genomic DNA extract from eight individuals selected from different countries (Table 1 ). The analysis of electrophoregrams with GeneMapper ® software version 4. 1 using GeneScan 600 LIZ as a size stand...
10.1002/ece3.6944
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Biochemistry, Genetics and Molecular Biology
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DATA ACCE SS I B I LIT Y The data have been deposited with links to BioProject accession number PRJNA604893 in the NCBI BioProject database (https:// www. ncbi. nlm. nih. gov/biopr oject/). 17 Primers designed and evalu-.
10.1002/ece3.6944
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Biochemistry, Genetics and Molecular Biology
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, 2016). However, inhibition of classical pro-inflammatory pathways, such as the acute phase response and nuclear factor κB (NF-κB) signaling, as well as of TREM1 signaling, which sustains inflammation (Owens et al. , 2017) , was also predicted (Figure 5E ; Table S5 ), suggesting that Csf1r +/-microglia are not pro-...
10.1016/j.celrep.2020.02.028
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Neuroscience
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The cells were stained using the antibodies diluted 1:200 in FACS buffer and incubated overnight at 4°C in the dark. Cells were subsequently washed twice with FACS buffer, resuspended in 1ml FACS buffer containing 2. 5 μg/ml DNase I and analyzed in a MoFlo Astrios EQ (Beckman Coulter, IN). The antibodies used for stain...
10.1016/j.celrep.2020.02.028
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Neuroscience
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The computational pipeline for identifying differentially expressed genes (DEGs) has been described previously (Wang et al. , 2017). Briefly, adapters and low quality bases in reads were trimmed by trim_galore: (http:// www. bioinformatics. babraham. ac. uk/projects/trim_galore/). The Kallisto (v0. 43. 1) software (B...
10.1016/j.celrep.2020.02.028
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Comparison of DEGs With Other Datasets-The DEG lists from Csf1r +/-or Csf2 +/- samples were compared to the DEG lists generated from other studies of microglia transcriptome changes associated with neurodegeneration (Mathys et al. , 2017; Keren-Shaul et al. , 2017). In Keren-Shaul et al. (2017) and Friedman et al. ...
10.1016/j.celrep.2020.02.028
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Neuroscience
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The ratio between the diameter of an axon and the mean diameter of the myelinated fiber (G-ratio) was determined on 200 randomly chosen fibers (3-6 animals/ genotype) using ImageJ software (imagej. net). Age-related ultrastructural changes were identified according to the description provided by Peters and Sethares (Al...
10.1016/j.celrep.2020.02.028
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Neuroscience
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Rat anti-P2ry12 was a gift from Dr. Oleg Butovsky (Harvard Medical School). Secondary antibodies, conjugated to either Alexa 488, Alexa 594 or Alexa 647, were from Life Technologies (Grand Island, NY). Images were captured using an Nikon Eclipse TE300 fluorescence microscope with NISElements D4. 10. 01 software. Quant...
10.1016/j.celrep.2020.02.028
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QUANTIFICATION AND STATISTICAL ANALYSIS Statistical Analyses-Statistical analysis was performed using the GraphPad Prism 7 software (GraphPad, La Jolla, CA, USA). Data were screened for the presence of outliers using the ROUT method, assessed for Gaussian distribution by D'Agostino-Pearson omnibus normality test and an...
10.1016/j.celrep.2020.02.028
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ACKNOWLEDGMENTS We thank Dr. Ian Willis of the Department of Biochemistry for critically evaluating the manuscript; Dr. Shahina B. Maqbool of the Epigenomics Shared Facility for RNA-seq; Leslie Cummins and Frank Macaluso of the Analytical Imaging Facility for preparation of transmission EM samples; Drs. ...
10.1016/j.celrep.2020.02.028
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DATA AND CODE AVAILABILITY Data Availability-All data are available in the main text or the supplemental materials. The source data for Figure 4F are available in the Mendeley Database: https:// data. mendeley. com/datasets/7m928vkpht/draft?a=19e92205-6537-4f8b-9278-f2399d5a55ba. RNA Seq data are available in the Gen...
10.1016/j.celrep.2020.02.028
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Neuroscience
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To avoid fragmentation, we embedded the fossil into a low viscosity two components epoxy resin (Araldite R AY103/HY991) before sectioning it into five blocks (A to E). We prepared eight transverse thin sections, one on each cutting face (AS, BI, BS, CI, CS, DI, DS and EI), and two longitudinal thin sections in block A ...
10.7717/peerj.9321
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Agricultural and Biological Sciences
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ACKNOWLEDGEMENTS We thank the Geological Survey of New South Wales and Dr. Yong Yi Zhen for the loan of the specimen; John Irving for information on the Barraba plant locality, Ian Percival and Earth Sciences members of the University of New England for advice on the geology of the area; Romain Blanchard wh...
10.7717/peerj.9321
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Agricultural and Biological Sciences
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Funding This work was supported by the LabEx CeMEB (Mediterranean Center for Environment and Biodiversity Laboratory of Excellence) for the Exploratory project MARCON (MARine and CONtinental ecosystems survival strategies in relation to global changes at the D-C boundary). The funders had no role in study design,...
10.7717/peerj.9321
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Agricultural and Biological Sciences
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Data Availability The following information was supplied regarding data availability: The raw data consists of physical material, specifically a paleontological specimen loaned by the Geological Survey of New South Wales: Specimen MMF44986 (Mining Museum Fossil Collection number 44986), Palaeontological reference colle...
10.7717/peerj.9321
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Agricultural and Biological Sciences
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The antennas were set up such that the electric field polarization was oriented across track, above a single sheet of plywood for stiffness and thin PVC mat for slipperiness. Data were collected at travel speeds of 2-3. 5 m s -1 over the course of a week in November and December 2019. Data processing consisted of coher...
10.5194/tc-2020-345
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Earth and Planetary Sciences
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5 Myr old ice, though the lack of stratigraphy does not allow firm conclusions regarding the extent to which useful climatic information may or may not be preserved below 2565 m depth. by national partners and funding agencies in Belgium, Denmark, France, Germany, Italy, Norway, Sweden, Switzerland, the Netherlands, an...
10.5194/tc-2020-345
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The opinions expressed and arguments employed herein do not necessarily reflect the official views of the European Union funding agency or other national funding bodies. This is Beyond EPICA publication number 13. We thank Saverio Panichi and Michele Scalet, as well as the Concordia Station team, for support in the fie...
10.5194/tc-2020-345
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Acknowledgements. This publication was generated in the framework of Beyond EPICA. The project has received funding from the European Union 's Horizon 2020 research and innovation program under grant agreement no. 815384 ( Oldest Ice Core ). It is supported.
10.5194/tc-2020-345
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Data availability. The radar profile displayed in Fig. 2 are archived at https://doi. org/10. 5281/zenodo. 4687049.
10.5194/tc-2020-345
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OBSERVATIONS 2. 1 TESS photometry TOI-125 (TIC 52368076) was observed by TESS in Sectors 1 and 2 from 25 July to 20 September 2018. It appeared on CCD1 of camera 3 in Sector 1 and CCD2 of camera 3 in Sector 2. The data are available with 2-min time sampling (cadence) and were processed by the Science Processing Operati...
10.1093/mnras/staa197
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Physics and Astronomy
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Sec. 3. 3 Tycho (Høg et al. 2000) ; 2MASS (Skrutskie et al. 2006) ; WISE (Wright et al. 2010) ; Gaia (Gaia Collaboration et al. 2018) facts and common trends with the Pre-search Data Conditioning (PDC-SAP) algorithm (Twicken et al. 2010; Smith et al. 2012; Stumpe et al. 2014 ) provided by SPOC. The light curve pr...
10.1093/mnras/staa197
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We performed the data reduction uniformly for all the data from the 6 programmes under which data had been acquired, to mitigate any possible RV offsets induced by different data reduction parameters and catalogue-coordinates in the FITS headers. With a typical signal-to-noise ratio (SNR) of 55, we achieved an RV preci...
10.1093/mnras/staa197
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The changing flux ratio between thorium and argon emission lines of the dying ThAr lamp induced a 2 m s -1 day -1 drift in the wavelength solution of HARPS over 5 days. The problematic data were confirmed by comparing unpublished data from the HARPS-N solar telescope (Dumusque et al. 2015; Collier Cameron et al. 2019 ...
10.1093/mnras/staa197
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2019). TOI-125 is found to be a main-sequence K0-star with mass 0. 859 +0. 044 -0. 038 M , radius 0. 848 ± 0. 011 R and T eff =5320 ± 39 K. This is in reasonable agreement with the properties reported in the Gaia Data Release 2: R * = 0. 90 ± 0. 03 R and T eff = 5150 ± 84 K (Gaia Collaboration et al. 2018). The quadrat...
10.1093/mnras/staa197
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