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mature human lymphocytes  (ATCC)


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    ATCC mature human lymphocytes
    Mature Human Lymphocytes, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 894 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/mature human lymphocytes/product/ATCC
    Average 99 stars, based on 894 article reviews
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    ATCC mature human lymphocytes
    Mature Human Lymphocytes, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    iXCells Biotechnologies peripheral blood mononuclear cells pbmcs
    The biological multifunctional therapeutic effect of PFD@NGHP was assessed through a comprehensive evaluation. (A) Establishment schematic of Transwell assay system to evaluate the proliferation inhibition of PFD@NGHP. (B) Cell viability of PSCs determined by Transwell assay system. PFD@NGHP exhibited the most potent inhibitory profile. (C) Cell viability of different cell lines (PANC-1 cells, hPSCs, PANC02 cells, and mPSCs) was assessed via CCK-8 kit after different treatments including combination therapy or monotherapy. (D) Expression levels of collagen I, TGF-β1, α-SMA and α-tubulin in hPSC and mPSC lines treated under different conditions for 48 h, as determined by Western blotting. Con, control. (E) TGF-β1 secretion of hPSC and human cell coculture system (H-Co) under different conditions was evaluated by ELISA. Irradiated (RT+) cells and unirradiated (RT−) cells were both analyzed. (F) TGF-β1 secretion of mPSC and mouse cell coculture system (M-Co) under different conditions was evaluated by ELISA. Irradiated cells and unirradiated cells were both analyzed. (G) FCM analysis of PD-L1-targeting by NGHP in PANC-1 and PAN02 cells. NC, negative control. (H) ADCC assay was used to assess the functional status of αPD-L1 in NGHP. ADCC in PANC-1 and IR-PANC-1 (irradiated PANC-1) cells, mediated by different samples (“mNG” was mPEGS-nanogel), was induced using <t>PBMC.</t> All data are exhibited as the means ± SD ( n = 3), and the inserted asterisks indicate statistically significant differences based on * P < 0.05, ** P < 0.01, and *** P < 0.001.
    Peripheral Blood Mononuclear Cells Pbmcs, supplied by iXCells Biotechnologies, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    ATCC pcs-800-011
    The biological multifunctional therapeutic effect of PFD@NGHP was assessed through a comprehensive evaluation. (A) Establishment schematic of Transwell assay system to evaluate the proliferation inhibition of PFD@NGHP. (B) Cell viability of PSCs determined by Transwell assay system. PFD@NGHP exhibited the most potent inhibitory profile. (C) Cell viability of different cell lines (PANC-1 cells, hPSCs, PANC02 cells, and mPSCs) was assessed via CCK-8 kit after different treatments including combination therapy or monotherapy. (D) Expression levels of collagen I, TGF-β1, α-SMA and α-tubulin in hPSC and mPSC lines treated under different conditions for 48 h, as determined by Western blotting. Con, control. (E) TGF-β1 secretion of hPSC and human cell coculture system (H-Co) under different conditions was evaluated by ELISA. Irradiated (RT+) cells and unirradiated (RT−) cells were both analyzed. (F) TGF-β1 secretion of mPSC and mouse cell coculture system (M-Co) under different conditions was evaluated by ELISA. Irradiated cells and unirradiated cells were both analyzed. (G) FCM analysis of PD-L1-targeting by NGHP in PANC-1 and PAN02 cells. NC, negative control. (H) ADCC assay was used to assess the functional status of αPD-L1 in NGHP. ADCC in PANC-1 and IR-PANC-1 (irradiated PANC-1) cells, mediated by different samples (“mNG” was mPEGS-nanogel), was induced using <t>PBMC.</t> All data are exhibited as the means ± SD ( n = 3), and the inserted asterisks indicate statistically significant differences based on * P < 0.05, ** P < 0.01, and *** P < 0.001.
    Pcs 800 011, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    MedChemExpress mass spectrometry 939 human peripheral blood mononuclear cells pbmcs
    The biological multifunctional therapeutic effect of PFD@NGHP was assessed through a comprehensive evaluation. (A) Establishment schematic of Transwell assay system to evaluate the proliferation inhibition of PFD@NGHP. (B) Cell viability of PSCs determined by Transwell assay system. PFD@NGHP exhibited the most potent inhibitory profile. (C) Cell viability of different cell lines (PANC-1 cells, hPSCs, PANC02 cells, and mPSCs) was assessed via CCK-8 kit after different treatments including combination therapy or monotherapy. (D) Expression levels of collagen I, TGF-β1, α-SMA and α-tubulin in hPSC and mPSC lines treated under different conditions for 48 h, as determined by Western blotting. Con, control. (E) TGF-β1 secretion of hPSC and human cell coculture system (H-Co) under different conditions was evaluated by ELISA. Irradiated (RT+) cells and unirradiated (RT−) cells were both analyzed. (F) TGF-β1 secretion of mPSC and mouse cell coculture system (M-Co) under different conditions was evaluated by ELISA. Irradiated cells and unirradiated cells were both analyzed. (G) FCM analysis of PD-L1-targeting by NGHP in PANC-1 and PAN02 cells. NC, negative control. (H) ADCC assay was used to assess the functional status of αPD-L1 in NGHP. ADCC in PANC-1 and IR-PANC-1 (irradiated PANC-1) cells, mediated by different samples (“mNG” was mPEGS-nanogel), was induced using <t>PBMC.</t> All data are exhibited as the means ± SD ( n = 3), and the inserted asterisks indicate statistically significant differences based on * P < 0.05, ** P < 0.01, and *** P < 0.001.
    Mass Spectrometry 939 Human Peripheral Blood Mononuclear Cells Pbmcs, supplied by MedChemExpress, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    ATCC pbmc peripheral blood mononuclear cells
    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 <t>PBMC</t> 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.
    Pbmc Peripheral Blood Mononuclear Cells, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    ATCC blood mononuclear cells
    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 <t>PBMC</t> 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.
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    hpbmcs  (ATCC)
    99
    ATCC hpbmcs
    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 <t>PBMC</t> 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.
    Hpbmcs, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    pbmcs  (ATCC)
    99
    ATCC pbmcs
    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 <t>PBMC</t> 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.
    Pbmcs, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    ATCC peripheral blood mononuclear cells
    Flow cytometry analysis of targeted contrast agent-labeled cancer cells and <t>peripheral</t> blood <t>mononuclear</t> cells <t>(PBMCs).</t> 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.
    Peripheral Blood Mononuclear Cells, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/peripheral blood mononuclear cells/product/ATCC
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    The biological multifunctional therapeutic effect of PFD@NGHP was assessed through a comprehensive evaluation. (A) Establishment schematic of Transwell assay system to evaluate the proliferation inhibition of PFD@NGHP. (B) Cell viability of PSCs determined by Transwell assay system. PFD@NGHP exhibited the most potent inhibitory profile. (C) Cell viability of different cell lines (PANC-1 cells, hPSCs, PANC02 cells, and mPSCs) was assessed via CCK-8 kit after different treatments including combination therapy or monotherapy. (D) Expression levels of collagen I, TGF-β1, α-SMA and α-tubulin in hPSC and mPSC lines treated under different conditions for 48 h, as determined by Western blotting. Con, control. (E) TGF-β1 secretion of hPSC and human cell coculture system (H-Co) under different conditions was evaluated by ELISA. Irradiated (RT+) cells and unirradiated (RT−) cells were both analyzed. (F) TGF-β1 secretion of mPSC and mouse cell coculture system (M-Co) under different conditions was evaluated by ELISA. Irradiated cells and unirradiated cells were both analyzed. (G) FCM analysis of PD-L1-targeting by NGHP in PANC-1 and PAN02 cells. NC, negative control. (H) ADCC assay was used to assess the functional status of αPD-L1 in NGHP. ADCC in PANC-1 and IR-PANC-1 (irradiated PANC-1) cells, mediated by different samples (“mNG” was mPEGS-nanogel), was induced using PBMC. All data are exhibited as the means ± SD ( n = 3), and the inserted asterisks indicate statistically significant differences based on * P < 0.05, ** P < 0.01, and *** P < 0.001.

    Journal: Biomaterials Research

    Article Title: Rescue Radiosensitization of Pancreatic Cancer via PD-L1/TGF-β1 Dual-Blockade Nanotherapy as Evaluated in 3-Dimensional Microtumors

    doi: 10.34133/bmr.0335

    Figure Lengend Snippet: The biological multifunctional therapeutic effect of PFD@NGHP was assessed through a comprehensive evaluation. (A) Establishment schematic of Transwell assay system to evaluate the proliferation inhibition of PFD@NGHP. (B) Cell viability of PSCs determined by Transwell assay system. PFD@NGHP exhibited the most potent inhibitory profile. (C) Cell viability of different cell lines (PANC-1 cells, hPSCs, PANC02 cells, and mPSCs) was assessed via CCK-8 kit after different treatments including combination therapy or monotherapy. (D) Expression levels of collagen I, TGF-β1, α-SMA and α-tubulin in hPSC and mPSC lines treated under different conditions for 48 h, as determined by Western blotting. Con, control. (E) TGF-β1 secretion of hPSC and human cell coculture system (H-Co) under different conditions was evaluated by ELISA. Irradiated (RT+) cells and unirradiated (RT−) cells were both analyzed. (F) TGF-β1 secretion of mPSC and mouse cell coculture system (M-Co) under different conditions was evaluated by ELISA. Irradiated cells and unirradiated cells were both analyzed. (G) FCM analysis of PD-L1-targeting by NGHP in PANC-1 and PAN02 cells. NC, negative control. (H) ADCC assay was used to assess the functional status of αPD-L1 in NGHP. ADCC in PANC-1 and IR-PANC-1 (irradiated PANC-1) cells, mediated by different samples (“mNG” was mPEGS-nanogel), was induced using PBMC. All data are exhibited as the means ± SD ( n = 3), and the inserted asterisks indicate statistically significant differences based on * P < 0.05, ** P < 0.01, and *** P < 0.001.

    Article Snippet: The human peripheral blood mononuclear cells (PBMCs) were purchased from iXCells Biotechnologies (CA, USA).

    Techniques: Transwell Assay, Inhibition, CCK-8 Assay, Expressing, Western Blot, Control, Enzyme-linked Immunosorbent Assay, Irradiation, Negative Control, ADCC Assay, Functional Assay

    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.

    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:

    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.

    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

    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.

    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