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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:4.2 nTPM
Monaco:24.7 nTPM
Schmiedel:39.1 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 4.2
HPA sample nTPM
Classical monocyte
nTPM: 4.2
Samples: 6

Max nTPM: 9.2
Min nTPM: 2.3
P10809_1003 2.3
P10809_1020 4.6
P10809_1039 9.2
P10809_1058 3.0
P10809_1080 2.8
P10809_1107 3.5
Intermediate monocyte
nTPM: 3.5
Samples: 6

Max nTPM: 6.6
Min nTPM: 0.0
P10809_1004 5.5
P10809_1023 1.5
P10809_1042 4.0
P10809_1061 0.0
P10809_1081 3.4
P10809_1108 6.6
Non-classical monocyte
nTPM: 3.7
Samples: 5

Max nTPM: 9.1
Min nTPM: 0.6
P10809_1005 3.2
P10809_1053 3.1
P10809_1072 0.6
P10809_1082 2.7
P10809_1109 9.1

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 24.7
Monaco sample nTPM
Classical monocyte
nTPM: 24.7
Samples: 4

Max nTPM: 29.1
Min nTPM: 20.2
RHH5313_R3680 24.3
RHH5221_R3593 20.2
RHH5250_R3622 25.0
RHH5279_R3651 29.1
Intermediate monocyte
nTPM: 18.6
Samples: 4

Max nTPM: 27.0
Min nTPM: 12.8
RHH5314_R3681 27.0
RHH5222_R3594 12.8
RHH5251_R3623 17.9
RHH5280_R3652 16.7
Non-classical monocyte
nTPM: 19.0
Samples: 4

Max nTPM: 25.9
Min nTPM: 6.0
RHH5315_R3682 25.7
RHH5223_R3595 6.0
RHH5252_R3624 25.9
RHH5281_R3653 18.4

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 39.1
Schmiedel sample id TPM
Classical monocyte
TPM: 27.5
Samples: 106

Max TPM: 37.3
Min TPM: 20.1
MONOCYTES_1 37.3
MONOCYTES_2 35.4
MONOCYTES_3 34.6
MONOCYTES_4 34.1
MONOCYTES_5 34.1
MONOCYTES_6 34.0
MONOCYTES_7 33.7
MONOCYTES_8 33.3
MONOCYTES_9 32.6
MONOCYTES_10 32.5
MONOCYTES_11 32.5
MONOCYTES_12 32.2
MONOCYTES_13 31.9
MONOCYTES_14 31.5
MONOCYTES_15 31.5
MONOCYTES_16 31.4
MONOCYTES_17 31.4
MONOCYTES_18 31.3
MONOCYTES_19 31.2
MONOCYTES_20 31.2
MONOCYTES_21 31.0
MONOCYTES_22 31.0
MONOCYTES_23 30.9
MONOCYTES_24 30.9
MONOCYTES_25 30.8
MONOCYTES_26 30.8
MONOCYTES_27 30.5
MONOCYTES_28 30.3
MONOCYTES_29 30.0
MONOCYTES_30 29.9
MONOCYTES_31 29.6
MONOCYTES_32 29.5
MONOCYTES_33 29.4
MONOCYTES_34 29.3
MONOCYTES_35 29.1
MONOCYTES_36 29.1
MONOCYTES_37 29.1
MONOCYTES_38 28.9
MONOCYTES_39 28.7
MONOCYTES_40 28.6
MONOCYTES_41 28.6
MONOCYTES_42 28.5
MONOCYTES_43 28.4
MONOCYTES_44 28.1
MONOCYTES_45 28.0
MONOCYTES_46 27.9
MONOCYTES_47 27.9
MONOCYTES_48 27.8
MONOCYTES_49 27.8
MONOCYTES_50 27.4
MONOCYTES_51 27.4
MONOCYTES_52 27.2
MONOCYTES_53 27.2
MONOCYTES_54 27.1
MONOCYTES_55 27.1
MONOCYTES_56 27.1
MONOCYTES_57 27.0
MONOCYTES_58 26.8
MONOCYTES_59 26.7
MONOCYTES_60 26.6
MONOCYTES_61 26.6
MONOCYTES_62 26.5
MONOCYTES_63 26.5
MONOCYTES_64 26.5
MONOCYTES_65 26.4
MONOCYTES_66 26.2
MONOCYTES_67 26.1
MONOCYTES_68 26.0
MONOCYTES_69 26.0
MONOCYTES_70 25.9
MONOCYTES_71 25.8
MONOCYTES_72 25.7
MONOCYTES_73 25.5
MONOCYTES_74 25.5
MONOCYTES_75 25.4
MONOCYTES_76 25.3
MONOCYTES_77 25.2
MONOCYTES_78 25.1
MONOCYTES_79 25.1
MONOCYTES_80 25.0
MONOCYTES_81 25.0
MONOCYTES_82 24.9
MONOCYTES_83 24.8
MONOCYTES_84 24.5
MONOCYTES_85 24.5
MONOCYTES_86 24.5
MONOCYTES_87 24.4
MONOCYTES_88 24.0
MONOCYTES_89 23.8
MONOCYTES_90 23.7
MONOCYTES_91 23.5
MONOCYTES_92 23.3
MONOCYTES_93 23.1
MONOCYTES_94 23.1
MONOCYTES_95 22.9
MONOCYTES_96 22.6
MONOCYTES_97 22.3
MONOCYTES_98 22.2
MONOCYTES_99 21.9
MONOCYTES_100 21.9
MONOCYTES_101 21.7
MONOCYTES_102 21.6
MONOCYTES_103 21.1
MONOCYTES_104 20.8
MONOCYTES_105 20.6
MONOCYTES_106 20.1
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Non-classical monocyte
TPM: 39.1
Samples: 105

Max TPM: 56.2
Min TPM: 28.4
M2_1 56.2
M2_2 53.0
M2_3 52.4
M2_4 51.9
M2_5 50.6
M2_6 50.2
M2_7 49.3
M2_8 48.6
M2_9 48.5
M2_10 47.2
M2_11 47.0
M2_12 46.7
M2_13 46.7
M2_14 46.6
M2_15 46.4
M2_16 46.4
M2_17 45.6
M2_18 44.4
M2_19 44.4
M2_20 44.3
M2_21 44.2
M2_22 44.2
M2_23 43.9
M2_24 43.8
M2_25 43.3
M2_26 43.1
M2_27 42.9
M2_28 42.8
M2_29 42.8
M2_30 42.8
M2_31 42.6
M2_32 42.6
M2_33 42.6
M2_34 41.7
M2_35 41.5
M2_36 40.8
M2_37 40.7
M2_38 40.6
M2_39 40.5
M2_40 40.3
M2_41 40.0
M2_42 39.7
M2_43 39.5
M2_44 39.4
M2_45 39.3
M2_46 39.3
M2_47 39.1
M2_48 39.0
M2_49 38.9
M2_50 38.7
M2_51 38.6
M2_52 38.5
M2_53 38.3
M2_54 38.3
M2_55 38.2
M2_56 38.2
M2_57 38.0
M2_58 38.0
M2_59 37.8
M2_60 37.7
M2_61 37.7
M2_62 37.7
M2_63 37.6
M2_64 37.3
M2_65 36.8
M2_66 36.5
M2_67 36.4
M2_68 35.9
M2_69 35.9
M2_70 35.8
M2_71 35.8
M2_72 35.6
M2_73 34.9
M2_74 34.9
M2_75 34.8
M2_76 34.7
M2_77 34.6
M2_78 34.4
M2_79 34.4
M2_80 34.4
M2_81 34.3
M2_82 34.3
M2_83 34.1
M2_84 34.1
M2_85 34.0
M2_86 33.9
M2_87 33.6
M2_88 33.4
M2_89 32.7
M2_90 32.4
M2_91 32.3
M2_92 32.2
M2_93 32.0
M2_94 31.9
M2_95 31.8
M2_96 31.7
M2_97 31.5
M2_98 31.3
M2_99 30.2
M2_100 29.9
M2_101 29.4
M2_102 29.3
M2_103 28.5
M2_104 28.4
M2_105 28.4
Show allShow less

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