Table 2 Top ten genes significantly differentiated between cell types in expression variance while not in mean (\({{{{{\boldsymbol{p}}}}}} > {{{{{\boldsymbol{0.01}}}}}}\)) in REML, meanwhile significantly differentiated in variance in HE, with CTP data

From: A robust model for cell type-specific interindividual variation in single-cell RNA sequencing data

Gene

REML

HE

Function

\(p({{{{{{\mathrm{variance}}}}}}})\)a

\(p({{{{{{\mathrm{mean}}}}}}})\)b

\(p({{{{{{\mathrm{variance}}}}}}})\)

\(p({{{{{{\mathrm{mean}}}}}}})\)

NDUFB4

\(1.93\times {10}^{-19}\)

\(0.014\)

\(9.62\times {10}^{-15}\)

\(0.125\)

Cell differentiation50

NUTF2

\(1.06\times {10}^{-17}\)

\(0.109\)

\(1.16\times {10}^{-16}\)

\(0.081\)

Cell cycle55, apoptosis56

SLX1A

\(6.11\times {10}^{-15}\)

\(0.162\)

\(7.17\times {10}^{-18}\)

\(0.202\)

Genome stability57

EIF4A1

\(2.29\times {10}^{-13}\)

\(0.011\)

\(2.11\times {10}^{-10}\)

\(0.698\)

Stem cell self-renewal58

TFPI2

\(4.84\times {10}^{-13}\)

\(0.024\)

\(7.30\times {10}^{-9}\)

\(0.057\)

Cell proliferation59

ATP5J2

\(6.30\times {10}^{-13}\)

\(0.093\)

\(1.09\times {10}^{-13}\)

\(0.012\)

ATP synthesis60

SMAP1

\(1.02\times {10}^{-12}\)

\(0.024\)

\(5.96\times {10}^{-10}\)

\(0.049\)

Cell growth61

NDN

\(1.80\times {10}^{-12}\)

\(0.011\)

\(8.21\times {10}^{-10}\)

\(0.079\)

Cell growth62

KRT10

\(2.40\times {10}^{-12}\)

\(0.218\)

\(1.16\times {10}^{-10}\)

\(0.403\)

 

NDUFA1

\(4.28\times {10}^{-12}\)

\(0.406\)

\(2.64\times {10}^{-11}\)

\(0.702\)

Cell differentiation50

  1. a\(p({{{{{{\mathrm{variance}}}}}}})\) indicates \(p\) values for variance differentiation between cell types;
  2. b\(p({{{{{{\mathrm{mean}}}}}}})\) indicates \(p\) values for mean differentiation between cell types. \(P\) values for testing mean differentiation and variance differentiation were calculated using the jackknife-based Wald test with CTP data from 94 individuals.