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1. L eg M uscle A rchitecture in P rimates and I ts C orrelation with L ocomotion P atterns

   https://doi.org/10.1002/ar.23745  

   Marchi, Damiano; Leischner, Carissa L; Pastor, Francisco; Hartstone‐Rose, Adam (March 2018, The Anatomical Record)

   ABSTRACT Bone biomechanical studies indicate that leg bone structure can be related to different locomotor patterns. The osteological correlates of extant primates’ locomotion patterns and substrate use are important to consider when estimating corresponding behaviors of extinct primates. Here, we test if these same patterns are seen in the differences in leg muscular architecture. Muscle mass, fascicle lengths (FL), physiological cross‐sectional area (PCSA), reduced PCSA (RPCSA) and tendon‐to‐muscle belly ratio were studied in 33 primate species (6 strepsirrhines, 14 platyrrhines and 13 catarrhines). Muscles were grouped into toe and ankle flexors and extensors and studied for phylogenetic and functional signals. All variables strongly correlate with body mass: strength variables (mass, PCSA and RPCSA) scale with positive allometry, whereas the speed/stretch measure (FL) trend toward negative allometry. Thus, larger primates are relatively stronger than smaller species, but they have relatively shorter leg muscle fibers than smaller primates. The strongest functional signal emerged when comparing belly‐muscle tendon unit (MTU) length ratio in leaping and non‐leaping primates. Leapers show significantly smaller plantarflexor belly‐MTU ratio. Surprisingly, no significant results reflect a correlation between muscle architecture and substrate and locomotor groups. However, several trends suggest that a larger sample and more fine‐grained defined categories could produce significant results. These results show the complex relation between leg bone biomechanics and muscle architecture and demand for further studies on this topic. Anat Rec, 301:515–527, 2018. © 2018 Wiley Periodicals, Inc. 

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2. Evolution of the E ast G reenland C urrent from F ram S trait to D enmark S trait: Synoptic measurements from summer 2012

   https://doi.org/10.1002/2016JC012228  

   Håvik, L.; Pickart, R. S.; Våge, K.; Torres, D.; Thurnherr, A. M.; Beszczynska‐Möller, A.; Walczowski, W.; von Appen, W.‐J. (March 2017, Journal of Geophysical Research: Oceans)

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3. The Movement Ecology of Mutualism ( CSEE / ESA 2022, OOS17 )

   https://doi.org/10.1002/bes2.2063  

   Moore, Christopher M.; Shaw, Allison K.; Bruninga‐Socolar, Bethanne; Caves, Eleanor M.; Karnish, Alex T.; Kiesewetter, Kasey N.; Nelson, Annika S.; Pringle, Elizabeth G. (April 2023, The Bulletin of the Ecological Society of America)
4. GW / SW‐MST : A Groundwater/ Surface‐Water Method Selection Tool

   https://doi.org/10.1111/gwat.13194  

   Hammett, Steven; Day‐Lewis, Frederick D.; Trottier, Brett; Barlow, Paul M.; Briggs, Martin A.; Delin, Geoffrey; Harvey, Judson W.; Johnson, Carole D.; Lane, John W.; Rosenberry, Donald O.; et al (November 2022, Groundwater)

   Abstract Groundwater/surface‐water (GW/SW) exchange and hyporheic processes are topics receiving increasing attention from the hydrologic community. Hydraulic, chemical, temperature, geophysical, and remote sensing methods are used to achieve various goals (e.g., inference of GW/SW exchange, mapping of bed materials, etc.), but the application of these methods is constrained by site conditions such as water depth, specific conductance, bed material, and other factors. Researchers and environmental professionals working on GW/SW problems come from diverse fields and rarely have expertise in all available field methods; hence there is a need for guidance to design field campaigns and select methods that both contribute to study goals and are likely to work under site‐specific conditions. Here, we present the spreadsheet‐based GW/SW‐Method Selection Tool (GW/SW‐MST) to help practitioners identify methods for use in GW/SW and hyporheic studies. The GW/SW‐MST is a Microsoft Excel‐based decision support tool in which the user selects answers to questions about GW/SW‐related study goals and site parameters and characteristics. Based on user input, the tool indicates which methods from a toolbox of 32 methods could potentially contribute to achieving the specified goals at the site described. 

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5. Integrated structural model of the palladin–actin complex using XL ‐ MS , docking, NMR , and SAXS

   https://doi.org/10.1002/pro.70122  

   Sargent, Rachel; Liu, David H; Yadav, Rahul; Glennenmeier, Drew; Bradford, Colby; Urbina, Noely; Beck, Moriah R (May 2025, Protein Science)

   Cortajarena, Aitziber L (Ed.)

   Abstract Palladin is an actin‐binding protein that accelerates actin polymerization and is linked to the metastasis of several types of cancer. Previously, three lysine residues in an immunoglobulin‐like domain of palladin have been identified as essential for actin binding. However, it is still unknown where palladin binds to F‐actin. Evidence that palladin binds to the sides of actin filaments to facilitate branching is supported by our previous study showing that palladin was able to compensate for Arp2/3 in the formation ofListeriaactin comet tails. Here, we used chemical crosslinking to covalently link palladin and F‐actin residues based on spatial proximity. Samples were then enzymatically digested, separated by liquid chromatography, and analyzed by tandem mass spectrometry. Peptides containing the crosslinks and specific residues involved were then identified for input to the HADDOCK docking server to model the most likely binding conformation. Small‐angle x‐ray scattering was used to provide further insight into palladin flexibility and the binding interface, and NMR spectra identified potential interactions between palladin's Ig domains. Our final structural model of the F‐actin:palladin complex revealed how palladin interacts with and stabilizes F‐actin at the interface between two actin monomers. Three actin residues that were identified in this study also appear commonly in the actin‐binding interface with other proteins such as myotilin, myosin, and tropomodulin. An accurate structural representation of the complex between palladin and actin extends our understanding of palladin's role in promoting cancer metastasis through the regulation of actin dynamics. 

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