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1.
Fig 3

Fig 3. Distribution of variation in abundance of protein spots.. From: Changes in Proteome Profile of Peripheral Blood Mononuclear Cells in Chronic Chagas Disease.

Shown are distribution of coefficient of variation (CoV) values of the standard abundance values for each protein spot identified in PBMCs of N/H controls (30 gels, panel A) and C/A (25 gels, panel B) and C/S (28 gels, panel C) subjects.

Nisha Jain Garg, et al. PLoS Negl Trop Dis. 2016 Feb;10(2):e0004490.
2.
Fig 2

Fig 2. Identification of differentially abundant protein spots in chagasic PBMCs.. From: Changes in Proteome Profile of Peripheral Blood Mononuclear Cells in Chronic Chagas Disease.

Of all the protein spots identified by 2-dimension electrophoresis, ratiometric calculation from BODIPY-fluorescence units in Asc+ aliquots (normal versus experimental) was conducted for quantifying differential abundance of proteins (Δ protein abundance = Asc+chagasic/Asc+ controls). The fold-change in protein spots in all gels were log transformed and submitted to statistical analysis as described in Materials and Methods. Protein spots that exhibited significant change in abundance in chagasic groups with respect to controls (p<0.05) are marked, and were submitted to MALDI-TOF MS analysis for protein identification (listed in ).

Nisha Jain Garg, et al. PLoS Negl Trop Dis. 2016 Feb;10(2):e0004490.
3.
Fig 4

Fig 4. Disease specific proteome signature in chagasic subjects.. From: Changes in Proteome Profile of Peripheral Blood Mononuclear Cells in Chronic Chagas Disease.

(A) Ontological classification of differentially regulated proteins in terms of cellular localization was performed by Ingenuity Pathway Analysis. The compositions of the protein categories are presented as percentages of all individually identified proteins. (B) Shown are the frequency of protein spots that were changed in abundance in clinically-asymptomatic (C/A) and clinically-asymptomatic (C/S) chagasic subjects with respect to normal/healthy (N/H) controls (p<0.05). (C&D) Bar graphs show the protein molecules that were uniquely changed in abundance in C/A (C) and C/S (D) subjects. Data are plotted as fold change in comparison to N/H controls.

Nisha Jain Garg, et al. PLoS Negl Trop Dis. 2016 Feb;10(2):e0004490.
4.
Fig 5

Fig 5. MARS model for classification of seropositive/chagasic subjects.. From: Changes in Proteome Profile of Peripheral Blood Mononuclear Cells in Chronic Chagas Disease.

Input to the model were protein spots that were differentially expressed at p<0.001 (with B-H correction) in seropositive, clinically asymptomatic (84 spots, n = 25) subjects with respect to normal/healthy controls (n = 30). We employed 10-fold cross-validation (A&C) and 80% testing / 20% training (C&D) approaches to assess the fit of the model for testing dataset. Shown are the protein spots identified with high ranking (score >20) by cross-validation (A) and 80/20 (B) approaches for creating the MARS model for classifying C/A subjects from N/H controls. Protein spots in panels A&B are identified as spot #-protein name, and fold change (increase ↑, red; decrease ↓, blue) are plotted on each bar. The ROC curves show the prediction success of the cross-validation (C) and 80/20 models (D). Blue curves: training data ((AUC/ROC: 1.00), red curve: testing data (AUC/ROC: 0.96 for CV and 0.933 for 80/20).

Nisha Jain Garg, et al. PLoS Negl Trop Dis. 2016 Feb;10(2):e0004490.
5.
Fig 6

Fig 6. MARS model for classification of chagasic subjects exhibiting clinical disease.. From: Changes in Proteome Profile of Peripheral Blood Mononuclear Cells in Chronic Chagas Disease.

Input to the model were protein spots that were differentially expressed at p<0.001 (with B-H correction) in clinically symptomatic (C/S) chagasic subjects (87 spots, n = 25) in comparison to normal/healthy (N/H) controls (n = 30). We employed 10-fold cross-validation (A&C) and 80% testing / 20% training (C&D) approaches to assess the fit of the model for testing dataset. Shown are the protein spots identified with high ranking (score >20) by cross-validation (A) and 80/20 (B) approaches for creating the MARS model for classifying C/S subjects from N/H subjects. Protein spots in panels A&B are identified as spot #-protein name and fold change (increase ↑, red; decrease ↓, blue) are plotted on each bar. The ROC curves show the prediction success of the cross-validation (C) and 80/20 models (D). Blue curves: training data ((AUC/ROC: 1.00), red curve: testing data (AUC/ROC: 0.926 for CV and 1.0 for 80/20).

Nisha Jain Garg, et al. PLoS Negl Trop Dis. 2016 Feb;10(2):e0004490.
6.
Fig 1

Fig 1. Two-dimensional gel images of protein spots in PBMCs of chagasic patients and healthy controls.. From: Changes in Proteome Profile of Peripheral Blood Mononuclear Cells in Chronic Chagas Disease.

PBMCs from seropositive chagasic subjects categorized as clinically asymptomatic (C/A, n = 25) and clinically symptomatic (C/S, n = 28), and normal healthy (N/H, n = 30) controls were reduced in presence of ascorbate, and labeled with BODIPY FL N- (2-aminoethyl) maleimide that covalently labels cysteine residues. The BD-labeled protein samples were separated in the 1st-dimension by isoelectric focusing on 11 cm linear pH 4–7 immobilized pH gradient strips, and in the 2nd-dimension by sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) on an 8–16% gradient gel. Gel images were obtained at 100 μm resolution using the Typhoon Trio Variable Mode Imager (GE Healthcare) to quantify BD-labeled proteins (Ex488 nm / Em520±15 nm). Shown are representative gel images of PBMCs from N/H (A), C/A (B) and C/S (C) subjects.

Nisha Jain Garg, et al. PLoS Negl Trop Dis. 2016 Feb;10(2):e0004490.

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