Table 1 Data summary and evolutionary parameter inferences.

From: Measuring single cell divisions in human tissues from multi-region sequencing data

Tissue type

Sequencing

# Samples

μ × 10–9

β

Source

HSC (development)

Whole genome

89

0.39

0.96

Lee-Six

Neuron (development)

Whole genome

14

0.46

0.99

Bae

CRA

Exome

6

2.91

0.46

Cross

CRC (MSS)

Exome

13

30.1

0.84

Cross

CRC (MSS)

Exome

8

12.5

0.43

Cross

CRC (MSS)

Whole genome

6

24.0

0.65

Cross

CRC (MSS)

Whole genome

7

10

0.51

Cross

CRC (MSS)

Whole genome

9

8.9

0.45

Roerink

CRC (MSS)

Whole genome

9

9.9

0.50

Roerink

CRC (MSI)

Whole genome

9

30.9

0.34

Cross

CRC (MSI)

Whole genome

7

17.9

0.47

Roerink

CCRCC

Exome

8

21.7

0.66

Gerlinger

CCRCC

Exome

11

31.2

0.86

Gerlinger

CCRCC

Exome

8

15.8

0.47

Gerlinger

CCRCC

Exome

8

2.3

0.80

Gerlinger

CCRCC

Exome

8

2.1

0.72

Gerlinger

NSCLC

Exome

7

53

0.36

Jamal-Hanjani

NACLC

Exome

7

14

0.59

Jamal-Hanjani

  1. The data of healthy tissue during development was taken from Lee-Six et al.13 and Bae et al.12. Data on colorectal cancers is from Cross et al.42 and Roerink et al.43, data on renal cell carcinoma from Gerlinger et al.44 and data on lung carcinomas from Jamal-Hanjani et al.45. Estimates for mutation and cell survival rates are from best MCMC fits based on the distribution of mutational distances.
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