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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:6.6 nTPM
Monaco:33.3 nTPM
Schmiedel:52.9 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 6.6
HPA sample nTPM
Classical monocyte
nTPM: 6.5
Samples: 6

Max nTPM: 8.3
Min nTPM: 3.8
P10809_1003 8.3
P10809_1020 7.8
P10809_1039 6.1
P10809_1058 3.8
P10809_1080 5.3
P10809_1107 7.7
Intermediate monocyte
nTPM: 6.4
Samples: 6

Max nTPM: 9.4
Min nTPM: 2.8
P10809_1004 8.0
P10809_1023 6.5
P10809_1042 2.8
P10809_1061 8.1
P10809_1081 3.5
P10809_1108 9.4
Non-classical monocyte
nTPM: 6.6
Samples: 5

Max nTPM: 11.9
Min nTPM: 0.6
P10809_1005 11.9
P10809_1053 6.4
P10809_1072 0.6
P10809_1082 6.0
P10809_1109 8.3

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 33.3
Monaco sample nTPM
Classical monocyte
nTPM: 26.5
Samples: 4

Max nTPM: 31.5
Min nTPM: 19.3
RHH5313_R3680 31.5
RHH5221_R3593 26.2
RHH5250_R3622 19.3
RHH5279_R3651 28.9
Intermediate monocyte
nTPM: 28.9
Samples: 4

Max nTPM: 34.0
Min nTPM: 22.4
RHH5314_R3681 22.4
RHH5222_R3594 32.3
RHH5251_R3623 34.0
RHH5280_R3652 27.0
Non-classical monocyte
nTPM: 33.3
Samples: 4

Max nTPM: 37.3
Min nTPM: 26.1
RHH5315_R3682 33.7
RHH5223_R3595 36.0
RHH5252_R3624 37.3
RHH5281_R3653 26.1

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 52.9
Schmiedel sample id TPM
Classical monocyte
TPM: 52.9
Samples: 106

Max TPM: 88.5
Min TPM: 21.0
MONOCYTES_1 88.5
MONOCYTES_2 81.4
MONOCYTES_3 79.2
MONOCYTES_4 78.4
MONOCYTES_5 78.3
MONOCYTES_6 76.8
MONOCYTES_7 76.2
MONOCYTES_8 75.2
MONOCYTES_9 74.2
MONOCYTES_10 74.2
MONOCYTES_11 72.6
MONOCYTES_12 71.4
MONOCYTES_13 70.8
MONOCYTES_14 69.7
MONOCYTES_15 69.1
MONOCYTES_16 68.6
MONOCYTES_17 68.5
MONOCYTES_18 67.8
MONOCYTES_19 67.6
MONOCYTES_20 67.5
MONOCYTES_21 67.2
MONOCYTES_22 67.1
MONOCYTES_23 66.1
MONOCYTES_24 65.5
MONOCYTES_25 63.9
MONOCYTES_26 63.9
MONOCYTES_27 63.7
MONOCYTES_28 63.7
MONOCYTES_29 63.4
MONOCYTES_30 63.0
MONOCYTES_31 62.6
MONOCYTES_32 62.3
MONOCYTES_33 61.8
MONOCYTES_34 61.6
MONOCYTES_35 61.4
MONOCYTES_36 60.9
MONOCYTES_37 60.6
MONOCYTES_38 59.6
MONOCYTES_39 58.8
MONOCYTES_40 58.7
MONOCYTES_41 58.3
MONOCYTES_42 58.2
MONOCYTES_43 58.1
MONOCYTES_44 57.6
MONOCYTES_45 57.3
MONOCYTES_46 57.1
MONOCYTES_47 55.3
MONOCYTES_48 55.2
MONOCYTES_49 54.7
MONOCYTES_50 54.3
MONOCYTES_51 54.0
MONOCYTES_52 53.9
MONOCYTES_53 53.7
MONOCYTES_54 53.7
MONOCYTES_55 53.4
MONOCYTES_56 51.9
MONOCYTES_57 51.6
MONOCYTES_58 51.0
MONOCYTES_59 50.7
MONOCYTES_60 50.2
MONOCYTES_61 50.2
MONOCYTES_62 49.7
MONOCYTES_63 49.6
MONOCYTES_64 49.6
MONOCYTES_65 49.6
MONOCYTES_66 48.8
MONOCYTES_67 48.7
MONOCYTES_68 48.2
MONOCYTES_69 47.7
MONOCYTES_70 47.6
MONOCYTES_71 46.7
MONOCYTES_72 44.8
MONOCYTES_73 44.1
MONOCYTES_74 43.8
MONOCYTES_75 43.3
MONOCYTES_76 43.1
MONOCYTES_77 42.7
MONOCYTES_78 41.5
MONOCYTES_79 40.7
MONOCYTES_80 39.7
MONOCYTES_81 39.6
MONOCYTES_82 39.3
MONOCYTES_83 39.1
MONOCYTES_84 38.8
MONOCYTES_85 38.7
MONOCYTES_86 37.4
MONOCYTES_87 36.9
MONOCYTES_88 36.6
MONOCYTES_89 35.5
MONOCYTES_90 35.4
MONOCYTES_91 35.3
MONOCYTES_92 34.7
MONOCYTES_93 34.0
MONOCYTES_94 33.4
MONOCYTES_95 33.0
MONOCYTES_96 33.0
MONOCYTES_97 30.5
MONOCYTES_98 30.3
MONOCYTES_99 30.2
MONOCYTES_100 30.0
MONOCYTES_101 29.0
MONOCYTES_102 27.4
MONOCYTES_103 27.3
MONOCYTES_104 27.2
MONOCYTES_105 26.4
MONOCYTES_106 21.0
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Non-classical monocyte
TPM: 38.0
Samples: 105

Max TPM: 61.7
Min TPM: 14.1
M2_1 61.7
M2_2 56.7
M2_3 56.0
M2_4 56.0
M2_5 55.8
M2_6 55.1
M2_7 54.8
M2_8 54.3
M2_9 54.2
M2_10 53.9
M2_11 53.6
M2_12 53.2
M2_13 52.9
M2_14 51.5
M2_15 51.2
M2_16 51.2
M2_17 51.1
M2_18 50.6
M2_19 49.8
M2_20 49.7
M2_21 49.2
M2_22 48.9
M2_23 48.7
M2_24 48.5
M2_25 48.3
M2_26 48.1
M2_27 47.2
M2_28 47.2
M2_29 46.2
M2_30 45.9
M2_31 45.5
M2_32 44.6
M2_33 43.9
M2_34 43.9
M2_35 43.8
M2_36 43.8
M2_37 43.6
M2_38 43.5
M2_39 43.0
M2_40 42.9
M2_41 42.8
M2_42 42.7
M2_43 42.6
M2_44 42.2
M2_45 42.0
M2_46 41.8
M2_47 41.6
M2_48 41.0
M2_49 40.8
M2_50 40.0
M2_51 39.4
M2_52 39.4
M2_53 39.2
M2_54 39.0
M2_55 37.8
M2_56 37.7
M2_57 37.5
M2_58 37.1
M2_59 36.9
M2_60 36.8
M2_61 36.8
M2_62 36.4
M2_63 36.4
M2_64 36.3
M2_65 36.3
M2_66 35.7
M2_67 33.1
M2_68 32.9
M2_69 31.8
M2_70 31.7
M2_71 31.5
M2_72 31.4
M2_73 31.4
M2_74 30.6
M2_75 30.3
M2_76 29.7
M2_77 29.3
M2_78 29.2
M2_79 28.9
M2_80 28.8
M2_81 28.5
M2_82 27.4
M2_83 27.0
M2_84 26.8
M2_85 25.4
M2_86 25.4
M2_87 25.2
M2_88 25.1
M2_89 24.6
M2_90 24.5
M2_91 24.4
M2_92 24.0
M2_93 23.6
M2_94 22.5
M2_95 22.3
M2_96 22.2
M2_97 20.3
M2_98 19.6
M2_99 18.5
M2_100 18.3
M2_101 16.5
M2_102 16.4
M2_103 15.9
M2_104 14.5
M2_105 14.1
Show allShow less

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