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  • Co-exposure of arsenic and uranium differentially alters gene expression in CD3/CD28 activated CD4+ T-cells.
  • Schliz, Jodi R; University of New Mexico Health Sciences Center Division of Physical Therapy
  • 2020-04-24
  • Schliz, J.R. 2020. Co-exposure of arsenic and uranium differentially alters gene expression in CD3/CD28 activated CD4+ T-cells. ver 2. Environmental Data Initiative. https://doi.org/DOI_PLACE_HOLDER (Accessed 2024-12-28).
  • Communities in the western region of the United States experience environmental exposure to metal mixtures from living in proximity to numerous unremediated abandoned uranium mines. Metals including arsenic and uranium co-occur in and around these sites at levels higher than the USEPA maximum contaminant levels (MCL). To address the potential effect of these metals on the activation of naïve CD4+ T-cells, we used RNA sequencing methods to determine the effect of exposure to arsenic, uranium or a mixture of arsenic and uranium. Arsenic induced a dose dependent effect on activation associated gene expression; targeting immune response genes at the lower dose. Increases in oxidative stress gene expression were observed at the with both arsenic doses. While uranium alone did not significantly alter activation associated gene expression, the mixture of uranium with arsenic demonstrated a combined effect relative to arsenic alone. The results demonstrate the need to investigate metal and metalloid mixtures at environmentally relevant concentrations to better understand the effect of these mixtures on T-cell activation, function and immune dysregulation.

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  • Data Entities:
    1. Supplemental Table 1  (151.2 KiB; 5 downloads) 
    2. Supplemental Table 2  (3.3 KiB; 6 downloads) 
    3. Supplemental Table 3  (4.2 KiB; 5 downloads) 
    4. Supplemental Table 4 Schilz et al  (74.6 KiB; 5 downloads) 
    5. Supplemental Table 5 Schilz et al  (89.6 KiB; 5 downloads) 
    6. Supplemental Table 6 Schilz et al  (22.6 KiB; 5 downloads) 
    7. Supplemental Table 7 Schilz et al  (21.9 KiB; 5 downloads) 
    8. Supplemental Table 8 Schilz et al  (27.1 KiB; 5 downloads) 
    9. Supplemental Table 9 Schilz et al  (21.7 KiB; 5 downloads) 
    10. Run 1_NT_NS_library_S1_R1_001  (620.3 MiB; 6 downloads) 
    11. Run 1_NT_STIM_library_S2_R1_001  (512.3 MiB; 6 downloads) 
    12. Run 1_As_1um_library_S3_R1_001  (391.5 MiB; 6 downloads) 
    13. Run 1_As_10um_library_S4_R1_001  (246.9 MiB; 5 downloads) 
    14. Run 1_UA_3um_library_S5_R1_001  (624.2 MiB; 6 downloads) 
    15. Run 1_UA_30um_library_S6_R1_001  (331.8 MiB; 6 downloads) 
    16. Run 1_As_1um_UA_3uM_library_S7_R1_001  (163.9 MiB; 4 downloads) 
    17. Run 2_NT_NS_library_S8_R1_001  (356.4 MiB; 6 downloads) 
    18. Run 2_NT_STIM_library_S9_R1_001  (400.3 MiB; 6 downloads) 
    19. Run 2_As_1um_library_S10_R1_001  (550.0 MiB; 6 downloads) 
    20. Run 2_As_10um_library_S11_R1_001  (358.9 MiB; 6 downloads) 
    21. Run 2_UA_3um_library_S12_R1_001  (416.3 MiB; 6 downloads) 
    22. Run 2_UA_30um_library_S13_R1_001  (390.9 MiB; 6 downloads) 
    23. Run 2_As_1um_UA_3uM_library_S14_R1_001  (252.3 MiB; 5 downloads) 
    24. Run 3_NT_NS_library_S15_R1_001  (343.2 MiB; 6 downloads) 
    25. Run 3_NT_STIM_library_S16_R1_001  (486.4 MiB; 6 downloads) 
    26. Run 3_As_1um_library_S17_R1_001  (291.9 MiB; 4 downloads) 
    27. Run 3_As_10um_library_S18_R1_001  (473.6 MiB; 6 downloads) 
    28. Run 3_UA_3um_library_S19_R1_001  (435.7 MiB; 6 downloads) 
    29. Run 3_UA_30um_library_S20_R1_001  (339.2 MiB; 6 downloads) 
    30. Run 3_As_1um_UA_3uM_library_S21_R1_001  (392.5 MiB; 6 downloads) 
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  • DOI PLACE HOLDER
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