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Table 3 Comparison of Published housekeeping genes with HKG Datasets Defined in This Study

From: Defining housekeeping genes suitable for RNA-seq analysis of the human allograft kidney biopsy tissue

Study

#samples

#HKG

#Tissues/cells studied

Technique

Normalization method

Housekeeping Gene Set Stratified by Normalization Methoda

TC (%)

UQ (%)

Median (%)

Quantile (%)

TMM (%)

DESeq (%)

TPM (%)

RPKM (%)

Lib_siz (%)

(4)

142

1789

79

Microarray

NAb

94 (5.25)

91 (5.09)

115 (6.43)

111 (6.20)

92 (5.14)

89 (4.97)

115 (6.43)

76 (4.25)

96 (5.37)

(5)

18

2403

18

Microarray

NA

110 (4.58)

145 (6.03)

158 (6.58)

161 (6.70)

132 (5.49)

124 (5.16)

158 (6.58)

103 (4.29)

133 (5.53)

(6)

42

1522

42

Microarray

NA

89 (5.84)

112 (7.36)

117 (7.69)

115 (7.56)

87 (5.72)

88 (5.78)

117 (7.69)

80 (5.26)

92 (6.04)

(6)

NA

15,050

32

sequencing_MPSS

TPM

516 (3.43)

578 (3.84)

566 (3.76)

581 (3.86)

550 (3.65)

559 (3.71)

566 (3.76)

489 (3.25)

559 (3.71)

(7)

2502

6909

18

Sequencing_EST

NA

398 (5.76)

542 (7.84)

533 (7.71)

551 (7.98)

463 (6.70)

458 (6.63)

533 (7.71)

369 (5.34)

471 (6.82)

(8)

NA

12,714

19

sequencing_EST

NA

583 (4.59)

627 (4.93)

642 (5.05)

656 (5.16)

610 (4.80)

620 (4.88)

642 (5.05)

546 (4.29)

628 (4.94)

(9)

NA

7896

32

RNA-Seq

RPKM

514 (6.51)

628 (7.95)

654 (8.28)

656 (8.31)

601 (7.61)

594 (7.52)

654 (8.28)

441 (5.59)

615 (7.79)

(10)

16

3804

16

RNA-Seq

RPKM

279 (7.33)

361 (9.49)

372 (9.78)

379 (9.96)

317 (8.33)

315 (8.28)

372 (9.78)

212 (5.57)

329 (8.64)

  1. Abbreviations: EST expressed sequence tags, HKG housekeeping genes, MPSS Massively parallel signature sequencing, ABMR antibody mediated rejection, DE differentially expressed, TCMR T-cell mediated rejection, PVAN polyomavirus nephropathy, NA not available; for other abbreviations, see legend to Table 1
  2. aThe total number (%) of overlapping genes with the specified datasets is enumerated. Percentage calculations are based on the total number of HKG in column 3
  3. bThe normalization methods in these references were not mentioned, but the most common method used for microarray data is Quantile normalization