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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:4.7 nTPM
Monaco:23.7 nTPM
Schmiedel:51.4 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 4.7
HPA sample nTPM
Classical monocyte
nTPM: 1.8
Samples: 6

Max nTPM: 2.7
Min nTPM: 1.4
P10809_1003 1.4
P10809_1020 1.8
P10809_1039 2.7
P10809_1058 2.0
P10809_1080 1.5
P10809_1107 1.6
Intermediate monocyte
nTPM: 4.7
Samples: 6

Max nTPM: 7.1
Min nTPM: 1.6
P10809_1004 4.2
P10809_1023 7.1
P10809_1042 6.7
P10809_1061 6.4
P10809_1081 1.6
P10809_1108 2.0
Non-classical monocyte
nTPM: 2.2
Samples: 5

Max nTPM: 3.2
Min nTPM: 1.1
P10809_1005 3.0
P10809_1053 3.2
P10809_1072 1.1
P10809_1082 2.3
P10809_1109 1.4

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 23.7
Monaco sample nTPM
Classical monocyte
nTPM: 16.7
Samples: 4

Max nTPM: 26.0
Min nTPM: 9.6
RHH5313_R3680 9.6
RHH5221_R3593 26.0
RHH5250_R3622 17.0
RHH5279_R3651 14.2
Intermediate monocyte
nTPM: 19.7
Samples: 4

Max nTPM: 23.8
Min nTPM: 15.1
RHH5314_R3681 15.1
RHH5222_R3594 23.6
RHH5251_R3623 16.1
RHH5280_R3652 23.8
Non-classical monocyte
nTPM: 23.7
Samples: 4

Max nTPM: 30.7
Min nTPM: 17.1
RHH5315_R3682 17.1
RHH5223_R3595 30.7
RHH5252_R3624 22.6
RHH5281_R3653 24.3

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 51.4
Schmiedel sample id TPM
Classical monocyte
TPM: 29.1
Samples: 106

Max TPM: 39.9
Min TPM: 23.2
MONOCYTES_1 39.9
MONOCYTES_2 37.3
MONOCYTES_3 36.9
MONOCYTES_4 36.6
MONOCYTES_5 35.8
MONOCYTES_6 35.3
MONOCYTES_7 35.1
MONOCYTES_8 34.5
MONOCYTES_9 34.4
MONOCYTES_10 33.8
MONOCYTES_11 33.7
MONOCYTES_12 33.7
MONOCYTES_13 33.6
MONOCYTES_14 33.0
MONOCYTES_15 32.8
MONOCYTES_16 32.6
MONOCYTES_17 32.4
MONOCYTES_18 32.3
MONOCYTES_19 32.2
MONOCYTES_20 32.2
MONOCYTES_21 32.0
MONOCYTES_22 32.0
MONOCYTES_23 31.8
MONOCYTES_24 31.6
MONOCYTES_25 31.6
MONOCYTES_26 31.5
MONOCYTES_27 31.5
MONOCYTES_28 31.3
MONOCYTES_29 31.3
MONOCYTES_30 31.0
MONOCYTES_31 30.8
MONOCYTES_32 30.6
MONOCYTES_33 30.5
MONOCYTES_34 30.2
MONOCYTES_35 29.9
MONOCYTES_36 29.8
MONOCYTES_37 29.7
MONOCYTES_38 29.6
MONOCYTES_39 29.6
MONOCYTES_40 29.5
MONOCYTES_41 29.5
MONOCYTES_42 29.4
MONOCYTES_43 29.4
MONOCYTES_44 29.4
MONOCYTES_45 29.3
MONOCYTES_46 29.2
MONOCYTES_47 29.2
MONOCYTES_48 29.1
MONOCYTES_49 29.0
MONOCYTES_50 28.9
MONOCYTES_51 28.9
MONOCYTES_52 28.8
MONOCYTES_53 28.8
MONOCYTES_54 28.8
MONOCYTES_55 28.6
MONOCYTES_56 28.6
MONOCYTES_57 28.6
MONOCYTES_58 28.5
MONOCYTES_59 28.4
MONOCYTES_60 28.4
MONOCYTES_61 28.2
MONOCYTES_62 28.1
MONOCYTES_63 28.0
MONOCYTES_64 28.0
MONOCYTES_65 27.9
MONOCYTES_66 27.8
MONOCYTES_67 27.8
MONOCYTES_68 27.6
MONOCYTES_69 27.4
MONOCYTES_70 27.3
MONOCYTES_71 27.2
MONOCYTES_72 27.2
MONOCYTES_73 27.1
MONOCYTES_74 27.0
MONOCYTES_75 27.0
MONOCYTES_76 27.0
MONOCYTES_77 26.9
MONOCYTES_78 26.9
MONOCYTES_79 26.8
MONOCYTES_80 26.8
MONOCYTES_81 26.6
MONOCYTES_82 26.4
MONOCYTES_83 26.4
MONOCYTES_84 26.4
MONOCYTES_85 26.2
MONOCYTES_86 26.2
MONOCYTES_87 26.1
MONOCYTES_88 25.9
MONOCYTES_89 25.9
MONOCYTES_90 25.8
MONOCYTES_91 25.6
MONOCYTES_92 25.5
MONOCYTES_93 25.4
MONOCYTES_94 25.3
MONOCYTES_95 25.3
MONOCYTES_96 25.2
MONOCYTES_97 25.2
MONOCYTES_98 25.0
MONOCYTES_99 24.8
MONOCYTES_100 24.7
MONOCYTES_101 24.7
MONOCYTES_102 24.5
MONOCYTES_103 23.8
MONOCYTES_104 23.8
MONOCYTES_105 23.8
MONOCYTES_106 23.2
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Non-classical monocyte
TPM: 51.4
Samples: 105

Max TPM: 68.8
Min TPM: 40.9
M2_1 68.8
M2_2 63.7
M2_3 61.8
M2_4 59.7
M2_5 58.9
M2_6 58.3
M2_7 58.2
M2_8 57.8
M2_9 57.6
M2_10 57.4
M2_11 57.4
M2_12 57.1
M2_13 57.0
M2_14 57.0
M2_15 56.8
M2_16 56.7
M2_17 56.4
M2_18 56.2
M2_19 55.7
M2_20 55.7
M2_21 55.4
M2_22 55.4
M2_23 54.9
M2_24 54.8
M2_25 54.8
M2_26 54.5
M2_27 54.4
M2_28 54.3
M2_29 54.1
M2_30 54.1
M2_31 54.1
M2_32 53.9
M2_33 53.9
M2_34 53.9
M2_35 53.8
M2_36 53.8
M2_37 53.4
M2_38 53.2
M2_39 53.0
M2_40 53.0
M2_41 53.0
M2_42 52.9
M2_43 52.5
M2_44 52.5
M2_45 52.4
M2_46 52.3
M2_47 52.3
M2_48 52.2
M2_49 52.1
M2_50 52.0
M2_51 51.8
M2_52 51.8
M2_53 51.8
M2_54 51.8
M2_55 51.7
M2_56 51.6
M2_57 51.5
M2_58 51.5
M2_59 51.5
M2_60 51.5
M2_61 51.5
M2_62 51.4
M2_63 51.1
M2_64 51.0
M2_65 50.9
M2_66 50.8
M2_67 50.3
M2_68 49.6
M2_69 49.6
M2_70 49.5
M2_71 49.2
M2_72 49.2
M2_73 48.9
M2_74 48.6
M2_75 48.2
M2_76 47.4
M2_77 47.2
M2_78 47.2
M2_79 47.0
M2_80 46.9
M2_81 46.7
M2_82 46.7
M2_83 46.4
M2_84 46.3
M2_85 46.3
M2_86 46.3
M2_87 46.2
M2_88 45.8
M2_89 45.6
M2_90 45.4
M2_91 45.4
M2_92 45.3
M2_93 45.3
M2_94 44.9
M2_95 44.8
M2_96 44.8
M2_97 44.7
M2_98 44.4
M2_99 43.4
M2_100 43.3
M2_101 43.2
M2_102 42.2
M2_103 41.9
M2_104 41.2
M2_105 40.9
Show allShow less

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