1
0

vault backup: 2026-01-16 09:42:21
All checks were successful
Deploy Quartz site to GitHub Pages / build (push) Successful in 3m6s

This commit is contained in:
2026-01-16 09:42:21 +01:00
parent d0f7ec0dfa
commit 62e17a202a

View File

@@ -14,7 +14,7 @@ methods:
3. T-cell clonality check 3. T-cell clonality check
> [!NOTE] > [!NOTE]
> They separated neutrophils and T cells, measured X-inactivation skewing, and checked that T-cells were not dominating. > They separated neutrophils and T cells, measured X-inactivation skewing, and checked that T cells were not dominating.
### **What was compared / tested** ### **What was compared / tested**
@@ -32,7 +32,7 @@ methods:
![[image-183.png|177x186]] ![[image-183.png|177x186]]
Notes Notes
- This graph shows the distribution of X chromosome usage in 23 newborn females - This graph shows the distribution of X chromosome usage in 23 newborn females
- X-axis: in % how uneven the X chromosome usage is - X-axis: the % of cells using the less common X chromosome.
- 50% means perfectly (50% maternal / 50% paternal) - 50% means perfectly (50% maternal / 50% paternal)
- 0/100% means all cells use the same chromosome - 0/100% means all cells use the same chromosome
- Y-axis: number of individuals in each group - Y-axis: number of individuals in each group
@@ -43,8 +43,7 @@ Conclusion:
![[image-184.png|177x193]] ![[image-184.png|177x193]]
Notes Notes
- This graph shows the purified neutrofils from 80 elderly (y >= 75) females - This graph shows the purified neutrofils from 80 elderly (y >= 75) females
- - X and Y axis is the same as in previous graph
Conclusion:
- Elderly neutrophils frequently show strongly uneven X chromosome usage.
Fig 1. Distribution of X-chromosome inactivation patterns from peripheral blood of haematologically normal females in three different age groups