Gene expression profiling in single cells from the pancreatic islets of Langerhans reveals lognormal distribution of mRNA levels

Table 1.

Statistical parameters describing gene expression in single (insulin-expressing) β-cells at 5 and 20 mM glucose


Glucose

Gene

Na

Arithmetic meanb

Geometric meanc

log10 Geometric mean (SD)d

Shapiro-Wilk P-valuee

Skewnessf
5 mM ActB 51 130 61 1.79 (0.51) 0.56 -0.02
Ins1 70 1700 190 2.29 (0.94) 0.32 0.06
Ins2 44 5200 1100 3.03 (1.03) 0.005 -0.12
Abcc8 28 130 98 1.99 (0.34) 0.97 -0.05
Kcnj11 15 30 24 1.38 (0.22) 0.77 0.31
20 mM ActB 45 420 300 2.47 (0.37) 0.53 0.01
Ins1 49 7700 3200 3.51 (0.67) 0.09 -0.70
Ins2 47 16000 10000 4.01 (0.53) 0.05 -0.70
Abcc8 23 180 150 2.16 (0.33) 0.21 -0.01

Kcnj11
18
34
31
1.49 (0.23)
0.48
-0.19
  • a N is the number of cells expressing the tested gene. A total of 60 (84 for Ins1 and Ins2) cells were collected in 5 mM glucose, and 61 (85 for Ins1 and Ins2) cells in 20 mM glucose

  • b The arithmetic mean is calculated as μA = (Σ Xn)/N

  • c The geometric mean is derived from the formula μG = (Π Xn)1/N

  • d Logarithm of the geometric mean and corresponding standard deviations

  • e For the Shapiro-Wilk test, a high P value reflects a good fit. If P ≥ 0.05, then the null hypothesis that data are lognormal cannot be rejected

  • f Skewness is calculated as γ = Σ(Xn - μ)3/(N - 1)σ3

This Article

  1. Genome Res. 15: 1388-1392

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