Now showing items 1-3 of 3

    • Analyzing single cell transcriptome data from severe COVID-19 patients 

      Nassir, Nasna; Tambi, Richa; Bankapur, Asma; Karuvantevida, Noushad; Zehra, Binte; Begum, Ghausia; Hameid, Reem Abdel; Ahmed, Awab; Shabestari, Seyed Ali Safizadeh; Hachim, Mahmood Yaseen; Alsheikh-Ali, Alawi; Berdiev, Bakhrom; Al Heialy, Saba; Uddin, Mohammed (2022)
      SUMMARY: We describe the protocol for identifying COVID-19 severity specific cell types and their regulatory marker genes using single-cell transcriptomics data. We construct COVID-19 comorbid disease-associated gene list ...
    • Diagnostic accuracy of QuickVue® Dipstick Strep A test and its effect on antibiotic prescribing in children in the United Arab Emirates 

      Shabestari, Seyed Ali Safizadeh (2019)
      Background: Unnecessary antibiotic prescription to patients with upper respiratory tract infections (URTIs) has led to the increase in antibiotics resistant bacteria rates. In this study, we evaluated the diagnostic accuracy ...
    • Single-cell transcriptome identifies FCGR3B upregulated subtype of alveolar macrophages in patients with critical COVID-19 

      Nassir, Nasna; Tambi, Richa; Bankapur, Asma; Al Heialy, Saba; Karuvantevida, Noushad; Zehra, Binte; Begum, Ghausia; Hameid, Reem Abdel; Ahmed, Awab; Shabestari, Seyed Ali Safizadeh; Kandasamy, Richard K; Loney, Tom; Tayoun, Ahmad Abou; Nowotny, Norbert; Hachim, Mahmood Yaseen; Berdiev, Bakhrom; Alsheikh-Ali, Alawi; Uddin, Mohammed (2021)
      Summary: Understanding host cell heterogeneity is critical for unraveling disease mechanism. Utilizing large-scale single-cell transcriptomics, we analyzed multiple tissue specimens from patients with life-threatening ...