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IMMUNE CELL MONOCYTES Show tissue menu
B-CELLS DENDRITIC CELLS GRANULOCYTES MONOCYTES NK-CELLS PROGENITORS T-CELLS TOTAL PBMC
Immune cell proteome
Monocytes
MONOCYTES - Expression summary
Protein profiling
Multiplex tissuei

A summary of the protein localization in the current human tissue based on multiplex immunohistochemistry profiling in selected tissues is shown for genes where this analysis has been performed.

Protein expressioni

On the top, protein expression in current human tissue, based on all annotated cell types, is reported with the units not detected (n), low (l), medium (m) and high (h). Underneath, protein expression in each annotated cell type are reported using the same units.

Protein expression data is based on knowledge-based annotation. For genes where more than one antibody has been used, a collective score is set.

If knowledge-based annotation could not be performed for a gene, no data is displayed here. View antibody staining data further down this page.

Read more
No data
RNA expressioni

A summary of mRNA expression data available for current tissue based on several datasets. The mRNA expression levels in human tissues are based on RNA-seq data generated by the Human Protein Atlas (HPA), Genotype-Tissue Expression (GTEx) portal and CAGE data generated by the FANTOM5 consortium. Consensus normalized expression levels for human tissues was created by combining the data from HPA and GTEx datasets.

The mRNA expression levels in pig are based on RNA-seq data generated by the Human Protein Atlas (HPA), and for mouse, HPA data and in situ hybridization generated by the Allen brain atlas are reported.

Scroll down to view mRNA expression data in more detail.
Read more
HPA:49.5 nTPM
Monaco:97.1 nTPM
Schmiedel:33.1 TPM

MONOCYTES - HPA RNA-seqi

The RNA-seq details section shows detailed information about the individual samples used for the transcript profiling and results of the RNA-seq analysis.

Information about each individual sample is listed below. nTPM (normalized transcripts per million) values give a quantification of the gene abundance which is comparable between different genes and samples. Distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. nTPM values of the individual samples are presented next to the box plot.
Read more
Max nTPM 49.5
HPA sample nTPM
Classical monocyte
nTPM: 20.4
Samples: 6

Max nTPM: 40.0
Min nTPM: 0.2
P10809_1003 22.0
P10809_1020 0.2
P10809_1039 40.0
P10809_1058 31.4
P10809_1080 28.1
P10809_1107 0.6
Intermediate monocyte
nTPM: 46.1
Samples: 6

Max nTPM: 102.4
Min nTPM: 0.4
P10809_1004 52.4
P10809_1023 1.6
P10809_1042 102.4
P10809_1061 84.3
P10809_1081 35.5
P10809_1108 0.4
Non-classical monocyte
nTPM: 49.5
Samples: 5

Max nTPM: 106.2
Min nTPM: 1.0
P10809_1005 45.4
P10809_1053 67.5
P10809_1072 106.2
P10809_1082 27.5
P10809_1109 1.0

MONOCYTES - Monaco RNA-seqi

RNA-Seq data generated by Monaco et al is reported as average nTPM.

The RNA-seq details section shows detailed information about the individual samples used for the transcript profiling and results of the RNA-seq analysis.

Information about each individual sample is listed below. nTPM (normalized transcripts per million) values give a quantification of the gene abundance which is comparable between different genes and samples. Distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. nTPM values of the individual samples are presented next to the box plot.

Read more
Max nTPM 97.1
Monaco sample nTPM
Classical monocyte
nTPM: 97.1
Samples: 4

Max nTPM: 294.9
Min nTPM: 0.1
RHH5313_R3680 80.5
RHH5221_R3593 294.9
RHH5250_R3622 12.9
RHH5279_R3651 0.1
Intermediate monocyte
nTPM: 85.3
Samples: 4

Max nTPM: 237.8
Min nTPM: 2.1
RHH5314_R3681 94.9
RHH5222_R3594 237.8
RHH5251_R3623 2.1
RHH5280_R3652 6.3
Non-classical monocyte
nTPM: 91.3
Samples: 4

Max nTPM: 212.9
Min nTPM: 3.9
RHH5315_R3682 138.7
RHH5223_R3595 212.9
RHH5252_R3624 9.5
RHH5281_R3653 3.9

MONOCYTES - Schmiedel RNA-seqi

RNA-Seq data generated by Schmiedel et al is reported as average TPM.

The RNA-seq details section shows detailed information about the individual samples used for the transcript profiling and results of the RNA-seq analysis.

Information about each individual sample is listed below. TPM (transcripts per million) values give a quantification of the gene abundance which is comparable between different genes and samples. Distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. TPM values of the individual samples are presented next to the box plot.

Read more
Max TPM 33.1
Schmiedel sample id TPM
Classical monocyte
TPM: 33.2
Samples: 106

Max TPM: 87.6
Min TPM: 5.0
MONOCYTES_1 87.6
MONOCYTES_2 81.1
MONOCYTES_3 78.2
MONOCYTES_4 75.5
MONOCYTES_5 73.7
MONOCYTES_6 66.9
MONOCYTES_7 66.0
MONOCYTES_8 62.3
MONOCYTES_9 62.1
MONOCYTES_10 61.4
MONOCYTES_11 60.0
MONOCYTES_12 58.8
MONOCYTES_13 57.6
MONOCYTES_14 57.0
MONOCYTES_15 55.9
MONOCYTES_16 55.7
MONOCYTES_17 53.0
MONOCYTES_18 51.5
MONOCYTES_19 51.4
MONOCYTES_20 48.9
MONOCYTES_21 47.9
MONOCYTES_22 47.9
MONOCYTES_23 47.5
MONOCYTES_24 47.4
MONOCYTES_25 44.8
MONOCYTES_26 44.6
MONOCYTES_27 44.3
MONOCYTES_28 44.2
MONOCYTES_29 43.1
MONOCYTES_30 42.6
MONOCYTES_31 42.1
MONOCYTES_32 41.6
MONOCYTES_33 40.8
MONOCYTES_34 40.0
MONOCYTES_35 39.3
MONOCYTES_36 38.9
MONOCYTES_37 38.5
MONOCYTES_38 38.2
MONOCYTES_39 37.9
MONOCYTES_40 37.9
MONOCYTES_41 37.4
MONOCYTES_42 36.9
MONOCYTES_43 36.8
MONOCYTES_44 35.8
MONOCYTES_45 34.5
MONOCYTES_46 32.7
MONOCYTES_47 32.7
MONOCYTES_48 31.1
MONOCYTES_49 30.4
MONOCYTES_50 30.3
MONOCYTES_51 30.2
MONOCYTES_52 30.2
MONOCYTES_53 30.1
MONOCYTES_54 30.0
MONOCYTES_55 29.4
MONOCYTES_56 29.1
MONOCYTES_57 28.6
MONOCYTES_58 28.4
MONOCYTES_59 27.9
MONOCYTES_60 27.2
MONOCYTES_61 27.1
MONOCYTES_62 26.2
MONOCYTES_63 25.9
MONOCYTES_64 25.5
MONOCYTES_65 24.8
MONOCYTES_66 24.1
MONOCYTES_67 23.9
MONOCYTES_68 23.5
MONOCYTES_69 22.3
MONOCYTES_70 22.2
MONOCYTES_71 22.1
MONOCYTES_72 22.0
MONOCYTES_73 21.5
MONOCYTES_74 20.8
MONOCYTES_75 20.5
MONOCYTES_76 20.1
MONOCYTES_77 20.0
MONOCYTES_78 19.5
MONOCYTES_79 19.4
MONOCYTES_80 19.3
MONOCYTES_81 19.1
MONOCYTES_82 18.5
MONOCYTES_83 17.3
MONOCYTES_84 17.2
MONOCYTES_85 17.0
MONOCYTES_86 16.6
MONOCYTES_87 15.1
MONOCYTES_88 15.0
MONOCYTES_89 15.0
MONOCYTES_90 14.6
MONOCYTES_91 14.1
MONOCYTES_92 12.7
MONOCYTES_93 12.7
MONOCYTES_94 12.5
MONOCYTES_95 11.8
MONOCYTES_96 11.4
MONOCYTES_97 10.8
MONOCYTES_98 10.2
MONOCYTES_99 8.7
MONOCYTES_100 8.1
MONOCYTES_101 8.1
MONOCYTES_102 7.6
MONOCYTES_103 7.2
MONOCYTES_104 6.8
MONOCYTES_105 6.3
MONOCYTES_106 5.0
Show allShow less
Non-classical monocyte
TPM: 22.5
Samples: 105

Max TPM: 71.8
Min TPM: 1.5
M2_1 71.8
M2_2 71.5
M2_3 59.0
M2_4 52.1
M2_5 49.9
M2_6 46.9
M2_7 45.7
M2_8 44.7
M2_9 44.6
M2_10 44.5
M2_11 43.6
M2_12 43.0
M2_13 41.3
M2_14 39.2
M2_15 38.0
M2_16 37.9
M2_17 37.5
M2_18 37.2
M2_19 36.7
M2_20 36.6
M2_21 36.5
M2_22 36.2
M2_23 34.5
M2_24 34.2
M2_25 33.8
M2_26 33.8
M2_27 32.3
M2_28 32.3
M2_29 32.1
M2_30 31.4
M2_31 31.3
M2_32 30.8
M2_33 30.3
M2_34 29.8
M2_35 29.1
M2_36 29.1
M2_37 29.0
M2_38 28.3
M2_39 26.9
M2_40 26.8
M2_41 26.8
M2_42 26.8
M2_43 25.9
M2_44 24.0
M2_45 24.0
M2_46 23.0
M2_47 21.0
M2_48 20.3
M2_49 20.3
M2_50 19.5
M2_51 19.5
M2_52 19.2
M2_53 19.1
M2_54 18.8
M2_55 18.8
M2_56 18.7
M2_57 18.5
M2_58 17.8
M2_59 17.5
M2_60 16.9
M2_61 16.6
M2_62 16.1
M2_63 15.5
M2_64 15.0
M2_65 14.9
M2_66 14.0
M2_67 14.0
M2_68 13.5
M2_69 13.2
M2_70 12.9
M2_71 12.5
M2_72 11.8
M2_73 11.7
M2_74 11.6
M2_75 11.3
M2_76 10.8
M2_77 10.7
M2_78 10.7
M2_79 10.6
M2_80 10.3
M2_81 9.7
M2_82 9.5
M2_83 9.4
M2_84 8.7
M2_85 8.7
M2_86 8.1
M2_87 7.8
M2_88 6.9
M2_89 6.6
M2_90 6.2
M2_91 6.0
M2_92 5.9
M2_93 5.4
M2_94 5.4
M2_95 5.4
M2_96 5.3
M2_97 4.4
M2_98 3.6
M2_99 2.9
M2_100 2.9
M2_101 2.9
M2_102 2.8
M2_103 2.1
M2_104 2.0
M2_105 1.5
Show allShow less

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