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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:0.3 nTPM
Monaco:2.5 nTPM
Schmiedel:21.2 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 0.3
HPA sample nTPM
Classical monocyte
nTPM: 0.3
Samples: 6

Max nTPM: 0.4
Min nTPM: 0.1
P10809_1003 0.4
P10809_1020 0.2
P10809_1039 0.1
P10809_1058 0.3
P10809_1080 0.3
P10809_1107 0.4
Intermediate monocyte
nTPM: 0.2
Samples: 6

Max nTPM: 0.5
Min nTPM: 0.0
P10809_1004 0.2
P10809_1023 0.0
P10809_1042 0.1
P10809_1061 0.2
P10809_1081 0.1
P10809_1108 0.5
Non-classical monocyte
nTPM: 0.1
Samples: 5

Max nTPM: 0.4
Min nTPM: 0.0
P10809_1005 0.0
P10809_1053 0.4
P10809_1072 0.0
P10809_1082 0.2
P10809_1109 0.0

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 2.5
Monaco sample nTPM
Classical monocyte
nTPM: 0.4
Samples: 4

Max nTPM: 1.5
Min nTPM: 0.0
RHH5313_R3680 0.0
RHH5221_R3593 1.5
RHH5250_R3622 0.0
RHH5279_R3651 0.0
Intermediate monocyte
nTPM: 0.8
Samples: 4

Max nTPM: 2.7
Min nTPM: 0.0
RHH5314_R3681 0.1
RHH5222_R3594 0.4
RHH5251_R3623 2.7
RHH5280_R3652 0.0
Non-classical monocyte
nTPM: 2.6
Samples: 4

Max nTPM: 4.9
Min nTPM: 1.3
RHH5315_R3682 1.7
RHH5223_R3595 1.3
RHH5252_R3624 4.9
RHH5281_R3653 2.3

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 21.2
Schmiedel sample id TPM
Classical monocyte
TPM: 21.2
Samples: 106

Max TPM: 43.2
Min TPM: 6.5
MONOCYTES_1 43.2
MONOCYTES_2 42.4
MONOCYTES_3 37.3
MONOCYTES_4 37.0
MONOCYTES_5 36.1
MONOCYTES_6 35.7
MONOCYTES_7 35.5
MONOCYTES_8 35.4
MONOCYTES_9 35.0
MONOCYTES_10 33.6
MONOCYTES_11 33.3
MONOCYTES_12 32.7
MONOCYTES_13 32.7
MONOCYTES_14 32.6
MONOCYTES_15 32.6
MONOCYTES_16 31.7
MONOCYTES_17 31.1
MONOCYTES_18 31.1
MONOCYTES_19 30.7
MONOCYTES_20 30.1
MONOCYTES_21 30.0
MONOCYTES_22 29.6
MONOCYTES_23 29.6
MONOCYTES_24 29.5
MONOCYTES_25 29.3
MONOCYTES_26 28.9
MONOCYTES_27 28.8
MONOCYTES_28 28.6
MONOCYTES_29 28.4
MONOCYTES_30 28.3
MONOCYTES_31 28.2
MONOCYTES_32 28.2
MONOCYTES_33 28.1
MONOCYTES_34 28.0
MONOCYTES_35 27.8
MONOCYTES_36 27.8
MONOCYTES_37 27.1
MONOCYTES_38 26.6
MONOCYTES_39 26.1
MONOCYTES_40 24.9
MONOCYTES_41 24.8
MONOCYTES_42 24.7
MONOCYTES_43 24.0
MONOCYTES_44 23.3
MONOCYTES_45 23.2
MONOCYTES_46 23.1
MONOCYTES_47 21.9
MONOCYTES_48 21.5
MONOCYTES_49 21.4
MONOCYTES_50 21.0
MONOCYTES_51 20.8
MONOCYTES_52 20.8
MONOCYTES_53 20.4
MONOCYTES_54 20.2
MONOCYTES_55 19.3
MONOCYTES_56 18.7
MONOCYTES_57 18.6
MONOCYTES_58 18.4
MONOCYTES_59 17.8
MONOCYTES_60 17.8
MONOCYTES_61 17.3
MONOCYTES_62 17.2
MONOCYTES_63 17.0
MONOCYTES_64 16.6
MONOCYTES_65 16.6
MONOCYTES_66 16.6
MONOCYTES_67 16.3
MONOCYTES_68 16.2
MONOCYTES_69 16.0
MONOCYTES_70 15.9
MONOCYTES_71 15.6
MONOCYTES_72 15.2
MONOCYTES_73 15.2
MONOCYTES_74 15.0
MONOCYTES_75 14.9
MONOCYTES_76 14.4
MONOCYTES_77 14.3
MONOCYTES_78 13.9
MONOCYTES_79 13.8
MONOCYTES_80 13.7
MONOCYTES_81 13.6
MONOCYTES_82 13.3
MONOCYTES_83 12.9
MONOCYTES_84 12.9
MONOCYTES_85 12.7
MONOCYTES_86 12.5
MONOCYTES_87 11.1
MONOCYTES_88 10.9
MONOCYTES_89 10.8
MONOCYTES_90 10.7
MONOCYTES_91 10.5
MONOCYTES_92 10.2
MONOCYTES_93 10.0
MONOCYTES_94 9.9
MONOCYTES_95 9.2
MONOCYTES_96 8.8
MONOCYTES_97 8.7
MONOCYTES_98 8.6
MONOCYTES_99 8.2
MONOCYTES_100 7.9
MONOCYTES_101 7.5
MONOCYTES_102 7.5
MONOCYTES_103 7.5
MONOCYTES_104 7.0
MONOCYTES_105 6.6
MONOCYTES_106 6.5
Show allShow less
Non-classical monocyte
TPM: 16.4
Samples: 105

Max TPM: 39.2
Min TPM: 2.3
M2_1 39.2
M2_2 37.8
M2_3 36.7
M2_4 36.3
M2_5 35.8
M2_6 35.8
M2_7 30.7
M2_8 30.0
M2_9 29.4
M2_10 27.8
M2_11 26.5
M2_12 26.2
M2_13 25.5
M2_14 25.4
M2_15 25.1
M2_16 24.8
M2_17 24.5
M2_18 24.4
M2_19 24.1
M2_20 24.0
M2_21 23.8
M2_22 23.7
M2_23 23.5
M2_24 23.4
M2_25 23.2
M2_26 23.1
M2_27 23.0
M2_28 22.4
M2_29 21.7
M2_30 21.7
M2_31 21.6
M2_32 21.0
M2_33 20.3
M2_34 19.9
M2_35 19.6
M2_36 19.3
M2_37 19.2
M2_38 18.9
M2_39 18.7
M2_40 18.4
M2_41 18.4
M2_42 18.4
M2_43 18.0
M2_44 17.9
M2_45 17.9
M2_46 17.6
M2_47 17.6
M2_48 17.5
M2_49 17.2
M2_50 17.1
M2_51 16.9
M2_52 16.4
M2_53 16.1
M2_54 15.6
M2_55 15.5
M2_56 15.4
M2_57 15.2
M2_58 15.0
M2_59 14.6
M2_60 13.9
M2_61 13.7
M2_62 13.5
M2_63 13.3
M2_64 13.1
M2_65 12.8
M2_66 12.8
M2_67 12.4
M2_68 11.9
M2_69 11.9
M2_70 11.7
M2_71 11.3
M2_72 11.2
M2_73 11.1
M2_74 10.8
M2_75 10.2
M2_76 10.0
M2_77 9.5
M2_78 9.2
M2_79 9.0
M2_80 8.8
M2_81 8.7
M2_82 8.4
M2_83 8.3
M2_84 8.1
M2_85 7.3
M2_86 6.9
M2_87 6.9
M2_88 6.5
M2_89 6.3
M2_90 6.3
M2_91 6.1
M2_92 5.7
M2_93 5.6
M2_94 5.4
M2_95 5.3
M2_96 5.3
M2_97 5.1
M2_98 5.0
M2_99 4.7
M2_100 4.2
M2_101 4.0
M2_102 3.2
M2_103 3.1
M2_104 2.4
M2_105 2.3
Show allShow less

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The Human Protein Atlas project is funded
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