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We present a multiplexed, Fourier-domain low coherence interferometry (mLCI) instrument for in vivo measurement of intravaginal microbicide gel coating thickness distribution over the surface of the vaginal epithelium.
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Some get through the mid-life crisis (or the MLC as I call it) by having a tattoo, taking a younger lover, buying a Harley, or launching themselves into the air in a bungee jump.
Myosin-II, Visualized by MLC-GFP, Is Not Enriched at the Podosome Core, Related to Figure S4C Actin at the podosome core was visualized by LifeAct-ruby in RPTPα+/+ mouse fibroblast cells.
Others have reported that ROCK directly phosphorylates several thick and thin filament contractile proteins including MyBP-C, MLC-2, troponin I (TnI) and troponin T (TnT), and might be involved in myofilament dysfunction [ 21].
As the combination of increased expression of ALC-1 and decreased phosphorylation of MLC-2, troponin I, and MyBP-C is commonly observed in failing heart muscle, it appears that the contractile proteins in myectomy muscle are modified in a similar manner to failing heart.
In muscle myofibrils, the main phosphorylated proteins were myosin-binding protein C (MyBP-C), troponin T, troponin I, and MLC-2.
Typical metal-to-ligand charge transfer (MLCT) chromophores based on electron donating copper(I), rhenium(I) and tungsten(0) complex fragments were selected to provide both long-wavelength spectral sensitization and photoredox activity.
At these two conditions there is apparent dysregulation in the balance between the substratum adhesion strength versus contractility; i.e., despite high MLC activation in both conditions, there is too little substratum adhesion at 0.1 μg/ml while it is in excess at 3 μg/ml [ 10].
A recombinant expression vector was constructed by cloning a 2.7 kb HindIII EcoRI fragment of the rat MLC-2v promoter region [5] into the HindIII EcoRI site of pEGFP-1 plasmid (Clontech, Palo Alto, CA) to form a MLC-GFP plasmid, allowing GFP expression to be controlled by the MLC-2v promoter.
Missing labels among the target classes (i.e. BioAssays) makes the MLC problem more challenging.
The Maximum Likelihood Classifier (MLC) was first applied to IRS LISS-III imagery of 2001 and 2011 and classified as: water body, forest, agricultural land, scrub forest/Prosopis, barren land, settlement/built-up land, river sand and quarry.
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