Journal: PLoS ONE

Article Title: Pericoronary Adipose Tissue as Storage and Supply Site for Oxidized Low-Density Lipoprotein in Human Coronary Plaques

doi: 10.1371/journal.pone.0150862

Figure Lengend Snippet: OxLDL (labeled with FITC) was not contained in CD68(+)-macrophages (labeled with Alexa 555; arrows in A–A-2) inside of adventitial vasa vasorum whereas it was contained in those outside the vasa vasorum (arrows inn B–B-2). Because the macrophage coexisted with a red blood cell (yellow arrows in A–A-2), which is known to exhibit green fluorescence with FITC and red with Alexa 555, its localization inside of the vasa vasorum was confirmed. Arrowheads: nucleus. Scale bars = 5 μm.

Article Snippet: The same section was the reacted with anti-oxLDL antibody for 60 min, and with anti-rabbit FITC (FITC conjugated AffeiniPureoat Anti-Rabbit IgG, Code 111-095-003, Vector Laboratories Inc, Burlingame, CA, USA) for 30 min to elicit the green fluorescence of oxLDL.

Techniques: Labeling, Fluorescence

Journal: PLoS ONE

Article Title: Characterizing Variability of Modular Brain Connectivity with Constrained Principal Component Analysis

doi: 10.1371/journal.pone.0168180

Figure Lengend Snippet: Each panel in the top row shows a true 20 × 2 weight matrix W = [ w 1 , w 2 ] (as well as its transpose, two small rectangles) and corresponding eigenconnectivity matrix B (large squares). The four panels differ in relative strength c ∈ [0, 1] of intra-module network variability, as indicated at bottom of figure. c = 0 implies no variability within each module and greater c indicates the stronger intra-module variability; in particular, c = 0.6 implies a greater intra-module variability than the inter-module. Bottom three rows show corresponding estimates B by PCA, OCF, and MCF (proposed method), displayed in the same manner. In all panels, red, white, and blue indicate positive, zero, and negative values, respectively (except for weight matrix rectangles in PCA, which are left blank). Each panel and each W and B were scaled individually so that maximum absolute value corresponds to boundary of color range (displayed at bottom right).

Article Snippet: We implemented all the methods in Matlab; we used eigs function for PCA and the original code for OCF ( https://www.cs.helsinki.fi/u/ahyvarin/code/ocf/ ).

Techniques: