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Image Search Results
Journal: The Journal of Clinical Investigation
Article Title: Functional monocytic myeloid-derived suppressor cells increase in blood but not airways and predict COVID-19 severity
doi: 10.1172/JCI144734
Figure Lengend Snippet: (A) Gating strategy to identify M-MDSCs by flow cytometry. From live, single CD45+ leukocytes, cells expressing lineage markers (CD3, CD19, CD20, CD56, CD66abce) and HLA-DR were excluded and CD14+ M-MDSCs identified. (B) M-MDSC frequency per live CD45+ cells in blood and NPAs. HCs (blue): n = 12 (blood), n = 7 (NPAs). Patients with influenza (open circles): n = 19 (blood), n = 9 (NPAs). COVID-19 patients (solid circles): n = 140 (blood), n = 28 (NPAs). The dots are color-coded according to peak disease severity. (C) Peak frequency of blood M-MDSCs per live CD45+ cells across disease severity. HCs (blue): n = 12. Patients with COVID-19 (color-coded by peak disease severity): mild, n = 19; moderate, n = 53; severe, n = 56; fatal, n = 12. (D) Blood M-MDSC frequencies over time in patients with COVID-19: mild, n = 17; moderate, n = 53; severe, n = 56; fatal, n = 12. Line shows the locally estimated scatterplot smoothing (LOESS) with shaded 95% CI (fatal group wide CI, not presented). (E) Frequency of blood M-MDSCs in paired acute and convalescent samples from patients with COVID-19 (n = 6). (F) M-MDSC frequency in blood, NPA, and ETA samples from patients with severe (red, n = 16) and fatal (gray, n = 4) COVID-19. (G–I) Surface expression of (G) CD62L, (H) CD86, and (I) CCR2 on M-MDSCs in blood, NPAs, and ETAs from HCs (blue, NPAs n = 7, PBMCs n = 11) and COVID-19 patients (black, NPAs n = 25, ETAs n = 19, PBMCs n = 69). (J) Frequency of PMN-MDSCs of live CD45+ cells in blood from patients with COVID-19. HCs: n = 12. Patients with COVID-19: mild, n = 11; moderate, n = 47; severe, n = 42; and fatal, n = 8. (K) Frequency of blood PMN-MDSCs in paired acute and convalescent samples from patients with COVID-19 (n = 6). (B, C, and F–J) Comparisons of M-MDSC frequencies were performed using the nonparametric Kruskal-Wallis test with Dunn’s post hoc multiple-comparison test. In the strip charts, group medians are presented as horizontal lines and individual patients as jitter points.
Article Snippet: If a sufficient number of cells were available, a second staining was performed using antibodies against CD3 (SP34-2; BD), CD4 (L200; BD), CD11c (B-ly6; BD), CD14 (M5E2; BD), CD16 (3G8; BD), CD19 (SJ25-C1; Thermo Fisher Scientific), CD45 (HI30; BD), CD56 (HCD56; BioLegend),
Techniques: Flow Cytometry, Expressing, Comparison, Stripping Membranes
Journal: Scientific reports
Article Title: Proteomic analysis of serum extracellular vesicles from biliary tract infection patients to identify novel biomarkers.
doi: 10.1038/s41598-024-56036-y
Figure Lengend Snippet: Figure 5. Validation of CEACAM1 and CRB3 expression in serum EVs. (A) CEACAM1 and CRB3 were detectable by Western blot (WB) analysis (N total = 8). (B) Densitometric quantification of CEACAM1. (C) Densitometric quantification of CRB3. (D) CRB3 was detectable by ELISA analysis. (E) CEACAM1 was detectable by ELISA analysis.* p < 0.05.
Article Snippet: Protein levels were determined using ELISA kits according to the manufacturer’s instructions:
Techniques: Biomarker Discovery, Expressing, Western Blot, Enzyme-linked Immunosorbent Assay