Journal: medRxiv

Article Title: Circulating Cell Type Senescence Signatures Reveal High-Resolution Health Status and Trajectories in Human Longitudinal Studies

doi: 10.64898/2026.02.06.26345739

Figure Lengend Snippet: A) Among all SAPs identified in at least two induction methods for each cell type in the SenCat, elastic net modeling revealed senescence signatures associated with mortality. Linear modeling revealed each signature association with age using the formula age ∼ protein + sex + race, and their average log2 fold-change (LFC Sen/Pro) in each cell type across two induction methods is shown. B) Tracking longitudinal health trajectories reveals higher mortality among those in the highest quartile mean composite senescence score of these SAPs compared to those in the lowest quartile. C) Up to 25 elastic net selected SAPs were selected from cell type senescence signatures as implicated in a diabetes onset, which were each compiled into a mean composite score to represent cell type senescence burden. The association between the cell type senescence burden and diabetes onset via cox proportional hazards modeling in the BLSA using the formula: event/age or last age ∼ composite score + sex + race. D) Tracking longitudinal health trajectories reveals higher diabetes probabilities among those in the highest quartile composite score of PBMC SAPs compared to those in the lowest quartile. *For Sen/Pro LFC, only proteins significantly elevated in each cell type using two induction methods are depicted by their average LFC across both induction methods.

Article Snippet: All cell types from the SenCat are of human origin, and include WI-38 lung fibroblasts (obtained from the NIGMS Human Genetic Cell Repository, Coriell Institute for Medical Research; repository ID AG06814-N), BJ skin fibroblasts (ATCC, CRL-2522), HSAEC lung epithelial cells (ATCC, PCS-301-010, HEKn epidermal skin keratinocytes (ATCC, PCS-200-010), HCAEC coronary artery endothelial cells (LifeLine Cell Technology, FC-0032), HUVEC umbilical vein endothelial cells (ATCC, PCS-100-010), HVSMC coronary artery smooth muscle cells (LifeLine Cell Technology, FC-0031), HSKM skeletal myoblasts (Gibco, A12555), PBMC peripheral blood mononuclear cells (ATCC, PCS-800-011), PreAdipo subcutaneous preadipocytes (ATCC, PCS-210-010), NHO osteoblasts (Lonza, CC-2538), NHA astrocytes (Lonza, CC-2565), HEMn melanocytes (ATCC, PCS-200-012), and HREC renal epithelial cells.

Techniques:

Journal: Journal of Biomedical Optics

Article Title: Considerations for the use of targeted fluorescence contrast agents to detect circulating cancer cell populations with diffuse in vivo flow cytometry

doi: 10.1117/1.JBO.31.2.027001

Figure Lengend Snippet: Flow cytometry analysis of targeted contrast agent-labeled cancer cells and peripheral blood mononuclear cells (PBMCs). Suspensions of 1:1000 IGROV-1 ovarian cancer cells to PBMCs were incubated (a) without and (b) with OTL38. (c) Different FR expressing cancer cell lines and PBMCs incubated with OTL38 compared with unlabeled PBMCs, cells, and reference μspheres (JGLI). Labeled cell threshold (black line) and NIR-DiFC detection threshold (red line) are shown, and percentages of cell populations above the respective threshold are indicated in the same color. Suspensions of 1:1000 LLC lung cancer to PBMCs were incubated (d) without and (e) with VGT-309. (f) Different cathepsin-expressing cancer cell lines and PBMCs incubated with VGT-309 compared with unlabeled PBMCs, cells, and reference μ spheres (JGLI). Labeled cell threshold (black line) and NIR-DiFC detection threshold (red line) are shown, and percentages of cell populations above the respective threshold are indicated in the same color.

Article Snippet: Peripheral blood mononuclear cells (PBMCs; PCS-800-011; ATCC) were thawed and prepared according to ATCC instructions for in vitro non-specific contrast agent uptake studies.

Techniques: Flow Cytometry, Labeling, Incubation, Expressing

Journal: Journal of Biomedical Optics

Article Title: Considerations for the use of targeted fluorescence contrast agents to detect circulating cancer cell populations with diffuse in vivo flow cytometry

doi: 10.1117/1.JBO.31.2.027001

Figure Lengend Snippet: Flow cytometry analysis of targeted contrast agent-labeled cancer cells and PBMCs. Suspensions of 1:1000 LNCaP prostate cancer cells to PBMCs were incubated (a) without and (b) with PSMA-02. (c) Different PSMA-expressing cancer cell lines and PBMCs incubated with PSMA-02 compared with unlabeled PBMCs, cells, and reference μ spheres (JGLI). Labeled cell threshold (black line) and Red-NIR-DiFC detection threshold (green line) are shown, and percentages of cell populations above the respective threshold are indicated in the same color. Suspensions of 1:1000 LNCaP prostate cancer to PBMCs were incubated (d) without and (e) with PSMA-04. (f) Different PSMA-expressing cancer cell lines and PBMCs incubated with PSMA-04 compared with unlabeled PBMCs, cells, and reference μ spheres (JGLI). Labeled cell threshold (black line) and Red-NIR-DiFC detection threshold (green line) are shown, and percentages of cell populations above the respective threshold are indicated in the same color.

Article Snippet: Peripheral blood mononuclear cells (PBMCs; PCS-800-011; ATCC) were thawed and prepared according to ATCC instructions for in vitro non-specific contrast agent uptake studies.

Techniques: Flow Cytometry, Labeling, Incubation, Expressing