Results 231 to 240 of about 1,292,419 (308)
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source
Bathymetric distribution of parasitic copepods: strategies for adaptation to the deep-sea environment. [PDF]
Yumura N, Ohtsuka S, Misawa R, Kojima S.
europepmc +1 more source
Screening and epitope characterization of Nidogen‐2‐specific nanobodies
Camel immunization and phage display were employed to generate high‐affinity VHH nanobodies against Nidogen‐2. After library construction, biopanning, ELISA screening, sequencing, and recombinant expression, selected nanobodies were purified and characterized, leading to the preliminary exploration of a nanobody‐based sandwich ELISA for specific ...
Jianchuan Wen +9 more
wiley +1 more source
Mitogenomic Phylogeny and Adaptive Evolution of Snailfishes (Liparidae) Reveal Correlation Between tRNA Rearrangements and Deep-Sea Colonization. [PDF]
Wang R, Li A, Che S, Wang H, Liu S.
europepmc +1 more source
MiR‐513a promotes human erythroid differentiation by modulating c‐Jun
During early human erythropoiesis, miR‐513a promoted erythroid differentiation in primary human CD34+ hematopoietic stem‐progenitor cells and human TF‐1 erythroleukemic cells by indirectly decreasing c‐Jun and phospho‐c‐Jun expression, which are associated with increased GATA1 expression.
MinJung Kim +11 more
wiley +1 more source
New Chlorinated Meroterpenoids with Antifungal Activity from the Deep-Sea-Derived Fungus Acremonium sclerotigenum. [PDF]
Huo R, Feng S, Ji M, Cai L, Liu L.
europepmc +1 more source
Digital twins to accelerate target identification and drug development for immune‐mediated disorders
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley +1 more source
Data-driven machine learning models for predicting engineering properties in deep-sea sediments. [PDF]
Yun J, Park J, Choo H, Lee HM, Won J.
europepmc +1 more source

