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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:8.0 nTPM
Monaco:32.2 nTPM
Schmiedel:22.2 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 8.0
HPA sample nTPM
Classical monocyte
nTPM: 6.4
Samples: 6

Max nTPM: 10.7
Min nTPM: 3.2
P10809_1003 6.8
P10809_1020 5.0
P10809_1039 3.2
P10809_1058 10.7
P10809_1080 6.8
P10809_1107 5.7
Intermediate monocyte
nTPM: 7.8
Samples: 6

Max nTPM: 15.8
Min nTPM: 3.7
P10809_1004 8.1
P10809_1023 4.3
P10809_1042 4.4
P10809_1061 15.8
P10809_1081 10.4
P10809_1108 3.7
Non-classical monocyte
nTPM: 8.0
Samples: 5

Max nTPM: 18.2
Min nTPM: 3.8
P10809_1005 6.6
P10809_1053 3.8
P10809_1072 18.2
P10809_1082 7.8
P10809_1109 3.8

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 32.2
Monaco sample nTPM
Classical monocyte
nTPM: 32.1
Samples: 4

Max nTPM: 40.9
Min nTPM: 27.9
RHH5313_R3680 27.9
RHH5221_R3593 40.9
RHH5250_R3622 29.1
RHH5279_R3651 30.3
Intermediate monocyte
nTPM: 22.2
Samples: 4

Max nTPM: 29.1
Min nTPM: 14.4
RHH5314_R3681 24.3
RHH5222_R3594 29.1
RHH5251_R3623 14.4
RHH5280_R3652 20.8
Non-classical monocyte
nTPM: 32.2
Samples: 4

Max nTPM: 46.3
Min nTPM: 25.6
RHH5315_R3682 25.6
RHH5223_R3595 46.3
RHH5252_R3624 27.8
RHH5281_R3653 29.1

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 22.2
Schmiedel sample id TPM
Classical monocyte
TPM: 19.5
Samples: 106

Max TPM: 29.7
Min TPM: 13.2
MONOCYTES_1 29.7
MONOCYTES_2 28.9
MONOCYTES_3 27.7
MONOCYTES_4 26.8
MONOCYTES_5 26.7
MONOCYTES_6 26.6
MONOCYTES_7 25.6
MONOCYTES_8 25.1
MONOCYTES_9 25.0
MONOCYTES_10 25.0
MONOCYTES_11 25.0
MONOCYTES_12 24.8
MONOCYTES_13 24.5
MONOCYTES_14 23.8
MONOCYTES_15 23.4
MONOCYTES_16 23.3
MONOCYTES_17 22.3
MONOCYTES_18 22.1
MONOCYTES_19 21.8
MONOCYTES_20 21.8
MONOCYTES_21 21.6
MONOCYTES_22 21.5
MONOCYTES_23 21.5
MONOCYTES_24 21.3
MONOCYTES_25 21.3
MONOCYTES_26 21.3
MONOCYTES_27 21.2
MONOCYTES_28 21.1
MONOCYTES_29 21.0
MONOCYTES_30 21.0
MONOCYTES_31 20.9
MONOCYTES_32 20.9
MONOCYTES_33 20.7
MONOCYTES_34 20.7
MONOCYTES_35 20.6
MONOCYTES_36 20.6
MONOCYTES_37 20.4
MONOCYTES_38 20.4
MONOCYTES_39 20.2
MONOCYTES_40 20.2
MONOCYTES_41 20.1
MONOCYTES_42 20.0
MONOCYTES_43 19.9
MONOCYTES_44 19.7
MONOCYTES_45 19.6
MONOCYTES_46 19.6
MONOCYTES_47 19.6
MONOCYTES_48 19.5
MONOCYTES_49 19.5
MONOCYTES_50 19.5
MONOCYTES_51 19.4
MONOCYTES_52 19.4
MONOCYTES_53 19.3
MONOCYTES_54 19.3
MONOCYTES_55 19.3
MONOCYTES_56 19.1
MONOCYTES_57 18.9
MONOCYTES_58 18.8
MONOCYTES_59 18.8
MONOCYTES_60 18.6
MONOCYTES_61 18.3
MONOCYTES_62 18.2
MONOCYTES_63 18.2
MONOCYTES_64 18.1
MONOCYTES_65 18.1
MONOCYTES_66 18.0
MONOCYTES_67 17.9
MONOCYTES_68 17.6
MONOCYTES_69 17.5
MONOCYTES_70 17.4
MONOCYTES_71 17.3
MONOCYTES_72 17.3
MONOCYTES_73 17.3
MONOCYTES_74 17.1
MONOCYTES_75 17.0
MONOCYTES_76 16.8
MONOCYTES_77 16.8
MONOCYTES_78 16.8
MONOCYTES_79 16.7
MONOCYTES_80 16.7
MONOCYTES_81 16.6
MONOCYTES_82 16.6
MONOCYTES_83 16.5
MONOCYTES_84 16.4
MONOCYTES_85 16.3
MONOCYTES_86 16.3
MONOCYTES_87 16.2
MONOCYTES_88 16.2
MONOCYTES_89 16.1
MONOCYTES_90 16.0
MONOCYTES_91 15.9
MONOCYTES_92 15.8
MONOCYTES_93 15.8
MONOCYTES_94 15.6
MONOCYTES_95 15.6
MONOCYTES_96 15.5
MONOCYTES_97 15.5
MONOCYTES_98 15.4
MONOCYTES_99 15.2
MONOCYTES_100 15.2
MONOCYTES_101 15.2
MONOCYTES_102 15.2
MONOCYTES_103 15.1
MONOCYTES_104 15.0
MONOCYTES_105 14.2
MONOCYTES_106 13.2
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Non-classical monocyte
TPM: 22.2
Samples: 105

Max TPM: 39.3
Min TPM: 14.7
M2_1 39.3
M2_2 32.1
M2_3 31.9
M2_4 31.6
M2_5 31.0
M2_6 30.0
M2_7 29.7
M2_8 29.5
M2_9 28.7
M2_10 28.5
M2_11 28.1
M2_12 27.8
M2_13 27.6
M2_14 27.6
M2_15 27.4
M2_16 27.3
M2_17 27.2
M2_18 26.6
M2_19 26.5
M2_20 26.0
M2_21 25.9
M2_22 25.9
M2_23 25.6
M2_24 25.4
M2_25 25.3
M2_26 24.7
M2_27 24.6
M2_28 24.4
M2_29 24.4
M2_30 24.2
M2_31 24.2
M2_32 24.2
M2_33 23.8
M2_34 23.7
M2_35 23.7
M2_36 23.6
M2_37 23.5
M2_38 23.1
M2_39 23.0
M2_40 23.0
M2_41 23.0
M2_42 23.0
M2_43 22.9
M2_44 22.7
M2_45 22.5
M2_46 22.5
M2_47 22.4
M2_48 22.1
M2_49 21.9
M2_50 21.8
M2_51 21.8
M2_52 21.7
M2_53 21.7
M2_54 21.7
M2_55 21.6
M2_56 21.5
M2_57 21.4
M2_58 21.2
M2_59 21.1
M2_60 21.0
M2_61 21.0
M2_62 20.9
M2_63 20.9
M2_64 20.9
M2_65 20.4
M2_66 20.3
M2_67 19.9
M2_68 19.8
M2_69 19.6
M2_70 19.6
M2_71 19.6
M2_72 19.6
M2_73 19.4
M2_74 19.4
M2_75 19.2
M2_76 19.1
M2_77 19.1
M2_78 19.1
M2_79 19.1
M2_80 19.0
M2_81 18.8
M2_82 18.4
M2_83 18.3
M2_84 18.0
M2_85 18.0
M2_86 18.0
M2_87 17.9
M2_88 17.9
M2_89 17.8
M2_90 17.7
M2_91 17.7
M2_92 17.4
M2_93 17.4
M2_94 17.2
M2_95 17.2
M2_96 16.9
M2_97 16.8
M2_98 16.8
M2_99 16.6
M2_100 16.0
M2_101 15.9
M2_102 15.7
M2_103 15.3
M2_104 15.2
M2_105 14.7
Show allShow less

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