Results 141 to 150 of about 75,099 (251)
The human gut outer mucus layer hosts specific microbes. Using a synthetic mucin glycan‐degrading microbial community to mimic this mucosal microbiome, we show that mucin type affects microbial community composition, glycan degradation and metabolite production.
Maryse D. Berkhout +5 more
wiley +1 more source
Background: Data on long term outcomes of anticoagulation with direct oral anticaogulants (DOACs) in patients affected by venous thromboembolism (VTE) and trombophilia are scarce.
doaj +1 more source
The tiny germline chromosomes of Paramecium aurelia have an exceptionally high recombination rate and are capped by a new class of Helitrons. [PDF]
Arnaiz O +26 more
europepmc +1 more source
Abstract The rapid expansion of biodiversity data presents new opportunities to understand and forecast biosphere dynamics. However, disparate and dispersed data, taxonomic and geographic inconsistencies, pervasive quality issues, and a lack of reproducable workflows hinder synthesis, introduce biases and limit accurate assessment of biodiversity ...
Brian J. Enquist +38 more
wiley +1 more source
Gravity beyond starch: molecular evidence for a parallel gravity sensing mechanism. [PDF]
McNelly R, Depaepe T.
europepmc +1 more source
This study comprehended the allergen profiles of six edible crab species using proteomic and transcriptomic analyses and identified 11 putative allergens. King crab has a distinct protein and allergen profile, with the discovery of malate dehydrogenase as a novel king crab‐specific allergen registered as Para c 11.
Shanshan Li +11 more
wiley +1 more source
A quantum-inspired classification for random mixed states. [PDF]
Sergioli G +6 more
europepmc +1 more source
Extracellular vesicles (EVs) have been suggested to participate in gut microbiota–host communication. While obesity and bariatric surgery have been shown to alter the gut microbiota composition, changes in gut microbiota‐EVs have not been investigated.
Jenni Hekkala +14 more
wiley +1 more source
Metastatic patterns, prognostic factors, and deep learning model development in primary gastrointestinal melanoma: a retrospective cohort analysis. [PDF]
Li C, Yu W, Pan Y, Li W, Yang G, Li W.
europepmc +1 more source

