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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:4.6 nTPM
Monaco:22.7 nTPM
Schmiedel:25.3 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 4.6
HPA sample nTPM
Classical monocyte
nTPM: 2.9
Samples: 6

Max nTPM: 5.0
Min nTPM: 1.7
P10809_1003 1.7
P10809_1020 5.0
P10809_1039 4.6
P10809_1058 2.4
P10809_1080 2.2
P10809_1107 1.7
Intermediate monocyte
nTPM: 3.3
Samples: 6

Max nTPM: 7.8
Min nTPM: 0.0
P10809_1004 4.0
P10809_1023 7.8
P10809_1042 3.4
P10809_1061 0.0
P10809_1081 1.6
P10809_1108 3.0
Non-classical monocyte
nTPM: 4.6
Samples: 5

Max nTPM: 15.1
Min nTPM: 1.1
P10809_1005 2.8
P10809_1053 1.9
P10809_1072 15.1
P10809_1082 1.1
P10809_1109 2.3

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 22.7
Monaco sample nTPM
Classical monocyte
nTPM: 22.7
Samples: 4

Max nTPM: 35.8
Min nTPM: 14.4
RHH5313_R3680 35.8
RHH5221_R3593 19.9
RHH5250_R3622 14.4
RHH5279_R3651 20.8
Intermediate monocyte
nTPM: 19.9
Samples: 4

Max nTPM: 35.0
Min nTPM: 3.9
RHH5314_R3681 35.0
RHH5222_R3594 24.2
RHH5251_R3623 16.6
RHH5280_R3652 3.9
Non-classical monocyte
nTPM: 14.3
Samples: 4

Max nTPM: 19.5
Min nTPM: 6.7
RHH5315_R3682 19.5
RHH5223_R3595 6.7
RHH5252_R3624 18.5
RHH5281_R3653 12.6

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 25.3
Schmiedel sample id TPM
Classical monocyte
TPM: 25.3
Samples: 106

Max TPM: 39.9
Min TPM: 15.2
MONOCYTES_1 39.9
MONOCYTES_2 39.6
MONOCYTES_3 38.9
MONOCYTES_4 35.9
MONOCYTES_5 35.9
MONOCYTES_6 33.9
MONOCYTES_7 33.3
MONOCYTES_8 33.1
MONOCYTES_9 33.0
MONOCYTES_10 32.9
MONOCYTES_11 32.9
MONOCYTES_12 32.1
MONOCYTES_13 31.9
MONOCYTES_14 31.4
MONOCYTES_15 31.3
MONOCYTES_16 31.2
MONOCYTES_17 31.2
MONOCYTES_18 30.9
MONOCYTES_19 30.7
MONOCYTES_20 30.3
MONOCYTES_21 30.1
MONOCYTES_22 29.9
MONOCYTES_23 29.9
MONOCYTES_24 29.7
MONOCYTES_25 29.4
MONOCYTES_26 29.2
MONOCYTES_27 29.1
MONOCYTES_28 28.9
MONOCYTES_29 28.4
MONOCYTES_30 28.3
MONOCYTES_31 28.1
MONOCYTES_32 28.0
MONOCYTES_33 27.3
MONOCYTES_34 27.2
MONOCYTES_35 27.2
MONOCYTES_36 26.8
MONOCYTES_37 26.8
MONOCYTES_38 26.6
MONOCYTES_39 26.2
MONOCYTES_40 26.1
MONOCYTES_41 25.9
MONOCYTES_42 25.9
MONOCYTES_43 25.9
MONOCYTES_44 25.8
MONOCYTES_45 25.7
MONOCYTES_46 25.5
MONOCYTES_47 25.3
MONOCYTES_48 25.2
MONOCYTES_49 25.1
MONOCYTES_50 25.1
MONOCYTES_51 25.0
MONOCYTES_52 24.8
MONOCYTES_53 24.5
MONOCYTES_54 24.5
MONOCYTES_55 24.3
MONOCYTES_56 24.3
MONOCYTES_57 24.3
MONOCYTES_58 24.1
MONOCYTES_59 24.1
MONOCYTES_60 24.0
MONOCYTES_61 24.0
MONOCYTES_62 23.9
MONOCYTES_63 23.8
MONOCYTES_64 23.6
MONOCYTES_65 23.5
MONOCYTES_66 23.3
MONOCYTES_67 23.2
MONOCYTES_68 23.1
MONOCYTES_69 23.1
MONOCYTES_70 23.0
MONOCYTES_71 23.0
MONOCYTES_72 22.8
MONOCYTES_73 22.8
MONOCYTES_74 22.7
MONOCYTES_75 22.6
MONOCYTES_76 22.2
MONOCYTES_77 22.2
MONOCYTES_78 22.1
MONOCYTES_79 22.1
MONOCYTES_80 22.0
MONOCYTES_81 22.0
MONOCYTES_82 21.2
MONOCYTES_83 20.5
MONOCYTES_84 20.5
MONOCYTES_85 20.4
MONOCYTES_86 19.9
MONOCYTES_87 19.8
MONOCYTES_88 19.6
MONOCYTES_89 19.5
MONOCYTES_90 19.4
MONOCYTES_91 19.3
MONOCYTES_92 19.3
MONOCYTES_93 19.1
MONOCYTES_94 19.1
MONOCYTES_95 18.7
MONOCYTES_96 18.2
MONOCYTES_97 18.2
MONOCYTES_98 18.1
MONOCYTES_99 18.1
MONOCYTES_100 17.6
MONOCYTES_101 16.9
MONOCYTES_102 16.8
MONOCYTES_103 16.5
MONOCYTES_104 16.2
MONOCYTES_105 16.1
MONOCYTES_106 15.2
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Non-classical monocyte
TPM: 17.9
Samples: 105

Max TPM: 28.8
Min TPM: 10.0
M2_1 28.8
M2_2 28.6
M2_3 26.2
M2_4 25.7
M2_5 25.6
M2_6 25.5
M2_7 25.4
M2_8 24.9
M2_9 24.6
M2_10 24.2
M2_11 23.8
M2_12 23.8
M2_13 23.4
M2_14 23.1
M2_15 22.9
M2_16 22.6
M2_17 22.2
M2_18 21.7
M2_19 21.3
M2_20 21.2
M2_21 21.1
M2_22 21.0
M2_23 20.9
M2_24 20.9
M2_25 20.9
M2_26 20.9
M2_27 20.7
M2_28 20.7
M2_29 20.7
M2_30 20.6
M2_31 20.5
M2_32 20.4
M2_33 20.3
M2_34 20.3
M2_35 20.3
M2_36 20.1
M2_37 19.6
M2_38 19.6
M2_39 19.5
M2_40 19.5
M2_41 19.3
M2_42 19.3
M2_43 19.3
M2_44 19.2
M2_45 19.0
M2_46 19.0
M2_47 18.9
M2_48 18.8
M2_49 18.7
M2_50 18.5
M2_51 18.3
M2_52 18.1
M2_53 17.9
M2_54 17.8
M2_55 17.7
M2_56 17.7
M2_57 17.5
M2_58 17.4
M2_59 17.4
M2_60 17.2
M2_61 17.1
M2_62 17.1
M2_63 17.0
M2_64 16.7
M2_65 16.6
M2_66 16.4
M2_67 16.3
M2_68 16.3
M2_69 16.3
M2_70 16.2
M2_71 15.7
M2_72 15.3
M2_73 15.2
M2_74 15.1
M2_75 15.0
M2_76 14.8
M2_77 14.8
M2_78 14.1
M2_79 14.1
M2_80 14.1
M2_81 14.0
M2_82 14.0
M2_83 13.9
M2_84 13.8
M2_85 13.8
M2_86 13.6
M2_87 13.5
M2_88 12.9
M2_89 12.7
M2_90 12.6
M2_91 12.5
M2_92 12.4
M2_93 12.4
M2_94 12.4
M2_95 12.3
M2_96 12.0
M2_97 11.8
M2_98 11.7
M2_99 11.2
M2_100 10.8
M2_101 10.6
M2_102 10.3
M2_103 10.2
M2_104 10.1
M2_105 10.0
Show allShow less

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