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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:7.0 nTPM
Monaco:27.9 nTPM
Schmiedel:14.7 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 7.0
HPA sample nTPM
Classical monocyte
nTPM: 4.0
Samples: 6

Max nTPM: 5.1
Min nTPM: 2.9
P10809_1003 4.1
P10809_1020 4.1
P10809_1039 5.1
P10809_1058 4.4
P10809_1080 3.3
P10809_1107 2.9
Intermediate monocyte
nTPM: 3.0
Samples: 6

Max nTPM: 4.2
Min nTPM: 2.2
P10809_1004 3.5
P10809_1023 3.0
P10809_1042 4.2
P10809_1061 2.2
P10809_1081 2.5
P10809_1108 2.7
Non-classical monocyte
nTPM: 7.0
Samples: 5

Max nTPM: 13.0
Min nTPM: 2.1
P10809_1005 4.5
P10809_1053 9.8
P10809_1072 13.0
P10809_1082 5.4
P10809_1109 2.1

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 27.9
Monaco sample nTPM
Classical monocyte
nTPM: 25.2
Samples: 4

Max nTPM: 30.4
Min nTPM: 15.4
RHH5313_R3680 30.4
RHH5221_R3593 15.4
RHH5250_R3622 26.5
RHH5279_R3651 28.6
Intermediate monocyte
nTPM: 27.9
Samples: 4

Max nTPM: 38.6
Min nTPM: 17.0
RHH5314_R3681 21.1
RHH5222_R3594 17.0
RHH5251_R3623 38.6
RHH5280_R3652 34.8
Non-classical monocyte
nTPM: 25.4
Samples: 4

Max nTPM: 40.1
Min nTPM: 15.7
RHH5315_R3682 21.5
RHH5223_R3595 15.7
RHH5252_R3624 40.1
RHH5281_R3653 24.4

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 14.7
Schmiedel sample id TPM
Classical monocyte
TPM: 9.9
Samples: 106

Max TPM: 17.3
Min TPM: 5.7
MONOCYTES_1 17.3
MONOCYTES_2 14.8
MONOCYTES_3 14.3
MONOCYTES_4 13.3
MONOCYTES_5 13.3
MONOCYTES_6 13.0
MONOCYTES_7 12.8
MONOCYTES_8 12.7
MONOCYTES_9 12.7
MONOCYTES_10 12.7
MONOCYTES_11 12.4
MONOCYTES_12 12.4
MONOCYTES_13 12.3
MONOCYTES_14 12.2
MONOCYTES_15 12.2
MONOCYTES_16 12.0
MONOCYTES_17 11.8
MONOCYTES_18 11.8
MONOCYTES_19 11.8
MONOCYTES_20 11.7
MONOCYTES_21 11.6
MONOCYTES_22 11.6
MONOCYTES_23 11.5
MONOCYTES_24 11.5
MONOCYTES_25 11.4
MONOCYTES_26 11.3
MONOCYTES_27 11.3
MONOCYTES_28 11.3
MONOCYTES_29 11.2
MONOCYTES_30 11.1
MONOCYTES_31 11.0
MONOCYTES_32 10.9
MONOCYTES_33 10.9
MONOCYTES_34 10.8
MONOCYTES_35 10.7
MONOCYTES_36 10.7
MONOCYTES_37 10.7
MONOCYTES_38 10.6
MONOCYTES_39 10.6
MONOCYTES_40 10.6
MONOCYTES_41 10.3
MONOCYTES_42 10.3
MONOCYTES_43 10.2
MONOCYTES_44 10.1
MONOCYTES_45 10.1
MONOCYTES_46 10.0
MONOCYTES_47 9.9
MONOCYTES_48 9.9
MONOCYTES_49 9.8
MONOCYTES_50 9.8
MONOCYTES_51 9.6
MONOCYTES_52 9.6
MONOCYTES_53 9.5
MONOCYTES_54 9.5
MONOCYTES_55 9.5
MONOCYTES_56 9.5
MONOCYTES_57 9.5
MONOCYTES_58 9.4
MONOCYTES_59 9.4
MONOCYTES_60 9.4
MONOCYTES_61 9.4
MONOCYTES_62 9.3
MONOCYTES_63 9.1
MONOCYTES_64 9.1
MONOCYTES_65 9.1
MONOCYTES_66 9.0
MONOCYTES_67 9.0
MONOCYTES_68 9.0
MONOCYTES_69 9.0
MONOCYTES_70 9.0
MONOCYTES_71 9.0
MONOCYTES_72 9.0
MONOCYTES_73 9.0
MONOCYTES_74 8.9
MONOCYTES_75 8.7
MONOCYTES_76 8.6
MONOCYTES_77 8.5
MONOCYTES_78 8.5
MONOCYTES_79 8.4
MONOCYTES_80 8.4
MONOCYTES_81 8.3
MONOCYTES_82 8.2
MONOCYTES_83 8.2
MONOCYTES_84 8.2
MONOCYTES_85 8.2
MONOCYTES_86 8.1
MONOCYTES_87 8.1
MONOCYTES_88 8.0
MONOCYTES_89 8.0
MONOCYTES_90 7.8
MONOCYTES_91 7.7
MONOCYTES_92 7.7
MONOCYTES_93 7.6
MONOCYTES_94 7.4
MONOCYTES_95 7.4
MONOCYTES_96 7.4
MONOCYTES_97 7.3
MONOCYTES_98 7.3
MONOCYTES_99 7.2
MONOCYTES_100 7.2
MONOCYTES_101 7.1
MONOCYTES_102 6.7
MONOCYTES_103 6.5
MONOCYTES_104 6.1
MONOCYTES_105 5.9
MONOCYTES_106 5.7
Show allShow less
Non-classical monocyte
TPM: 14.7
Samples: 105

Max TPM: 26.2
Min TPM: 5.8
M2_1 26.2
M2_2 21.8
M2_3 20.9
M2_4 20.7
M2_5 20.7
M2_6 20.6
M2_7 20.4
M2_8 20.4
M2_9 20.3
M2_10 18.8
M2_11 18.4
M2_12 18.3
M2_13 18.0
M2_14 18.0
M2_15 17.7
M2_16 17.6
M2_17 17.4
M2_18 17.3
M2_19 17.3
M2_20 17.3
M2_21 17.1
M2_22 17.1
M2_23 17.0
M2_24 16.9
M2_25 16.9
M2_26 16.8
M2_27 16.8
M2_28 16.8
M2_29 16.7
M2_30 16.6
M2_31 16.6
M2_32 16.5
M2_33 16.1
M2_34 16.1
M2_35 16.0
M2_36 15.7
M2_37 15.7
M2_38 15.6
M2_39 15.6
M2_40 15.6
M2_41 15.5
M2_42 15.5
M2_43 15.5
M2_44 15.3
M2_45 15.1
M2_46 14.9
M2_47 14.9
M2_48 14.9
M2_49 14.8
M2_50 14.7
M2_51 14.6
M2_52 14.5
M2_53 14.5
M2_54 14.4
M2_55 14.1
M2_56 14.1
M2_57 14.1
M2_58 14.0
M2_59 13.9
M2_60 13.8
M2_61 13.7
M2_62 13.7
M2_63 13.7
M2_64 13.6
M2_65 13.5
M2_66 13.5
M2_67 13.4
M2_68 13.4
M2_69 13.4
M2_70 13.3
M2_71 13.2
M2_72 13.2
M2_73 13.1
M2_74 13.0
M2_75 13.0
M2_76 12.9
M2_77 12.9
M2_78 12.8
M2_79 12.8
M2_80 12.7
M2_81 12.5
M2_82 12.5
M2_83 12.1
M2_84 12.1
M2_85 12.0
M2_86 12.0
M2_87 12.0
M2_88 11.6
M2_89 11.6
M2_90 11.5
M2_91 11.5
M2_92 11.0
M2_93 10.7
M2_94 10.7
M2_95 10.4
M2_96 10.3
M2_97 10.2
M2_98 10.2
M2_99 10.2
M2_100 9.1
M2_101 8.9
M2_102 8.8
M2_103 8.5
M2_104 8.4
M2_105 5.8
Show allShow less

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The Human Protein Atlas project is funded
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