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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:1.3 nTPM
Monaco:5.4 nTPM
Schmiedel:24.0 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 1.3
HPA sample nTPM
Classical monocyte
nTPM: 1.4
Samples: 6

Max nTPM: 2.4
Min nTPM: 0.8
P10809_1003 1.6
P10809_1020 1.5
P10809_1039 2.4
P10809_1058 0.8
P10809_1080 0.9
P10809_1107 0.9
Intermediate monocyte
nTPM: 1.1
Samples: 6

Max nTPM: 2.1
Min nTPM: 0.4
P10809_1004 1.6
P10809_1023 0.4
P10809_1042 0.8
P10809_1061 1.0
P10809_1081 0.6
P10809_1108 2.1
Non-classical monocyte
nTPM: 0.9
Samples: 5

Max nTPM: 1.8
Min nTPM: 0.0
P10809_1005 1.8
P10809_1053 0.6
P10809_1072 0.0
P10809_1082 0.6
P10809_1109 1.7

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 5.4
Monaco sample nTPM
Classical monocyte
nTPM: 5.4
Samples: 4

Max nTPM: 10.3
Min nTPM: 2.5
RHH5313_R3680 3.9
RHH5221_R3593 2.5
RHH5250_R3622 4.8
RHH5279_R3651 10.3
Intermediate monocyte
nTPM: 4.8
Samples: 4

Max nTPM: 6.5
Min nTPM: 2.7
RHH5314_R3681 6.5
RHH5222_R3594 3.6
RHH5251_R3623 2.7
RHH5280_R3652 6.5
Non-classical monocyte
nTPM: 4.6
Samples: 4

Max nTPM: 5.8
Min nTPM: 3.4
RHH5315_R3682 5.8
RHH5223_R3595 3.8
RHH5252_R3624 5.4
RHH5281_R3653 3.4

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 24.0
Schmiedel sample id TPM
Classical monocyte
TPM: 18.0
Samples: 106

Max TPM: 27.8
Min TPM: 12.6
MONOCYTES_1 27.8
MONOCYTES_2 25.5
MONOCYTES_3 25.2
MONOCYTES_4 24.4
MONOCYTES_5 23.3
MONOCYTES_6 23.0
MONOCYTES_7 21.5
MONOCYTES_8 21.3
MONOCYTES_9 21.2
MONOCYTES_10 21.0
MONOCYTES_11 21.0
MONOCYTES_12 20.9
MONOCYTES_13 20.8
MONOCYTES_14 20.8
MONOCYTES_15 20.6
MONOCYTES_16 20.6
MONOCYTES_17 20.6
MONOCYTES_18 20.3
MONOCYTES_19 20.3
MONOCYTES_20 20.2
MONOCYTES_21 20.1
MONOCYTES_22 20.0
MONOCYTES_23 19.9
MONOCYTES_24 19.9
MONOCYTES_25 19.9
MONOCYTES_26 19.7
MONOCYTES_27 19.6
MONOCYTES_28 19.6
MONOCYTES_29 19.5
MONOCYTES_30 19.5
MONOCYTES_31 19.5
MONOCYTES_32 19.4
MONOCYTES_33 19.3
MONOCYTES_34 19.2
MONOCYTES_35 19.2
MONOCYTES_36 19.0
MONOCYTES_37 18.9
MONOCYTES_38 18.9
MONOCYTES_39 18.7
MONOCYTES_40 18.7
MONOCYTES_41 18.7
MONOCYTES_42 18.6
MONOCYTES_43 18.5
MONOCYTES_44 18.3
MONOCYTES_45 18.2
MONOCYTES_46 18.1
MONOCYTES_47 18.1
MONOCYTES_48 18.0
MONOCYTES_49 18.0
MONOCYTES_50 17.9
MONOCYTES_51 17.9
MONOCYTES_52 17.7
MONOCYTES_53 17.6
MONOCYTES_54 17.6
MONOCYTES_55 17.6
MONOCYTES_56 17.6
MONOCYTES_57 17.4
MONOCYTES_58 17.2
MONOCYTES_59 17.2
MONOCYTES_60 17.1
MONOCYTES_61 17.0
MONOCYTES_62 17.0
MONOCYTES_63 16.8
MONOCYTES_64 16.7
MONOCYTES_65 16.7
MONOCYTES_66 16.7
MONOCYTES_67 16.6
MONOCYTES_68 16.6
MONOCYTES_69 16.6
MONOCYTES_70 16.6
MONOCYTES_71 16.5
MONOCYTES_72 16.5
MONOCYTES_73 16.5
MONOCYTES_74 16.4
MONOCYTES_75 16.4
MONOCYTES_76 16.4
MONOCYTES_77 16.3
MONOCYTES_78 16.3
MONOCYTES_79 16.3
MONOCYTES_80 16.2
MONOCYTES_81 16.2
MONOCYTES_82 16.2
MONOCYTES_83 16.1
MONOCYTES_84 15.9
MONOCYTES_85 15.8
MONOCYTES_86 15.8
MONOCYTES_87 15.6
MONOCYTES_88 15.6
MONOCYTES_89 15.6
MONOCYTES_90 15.5
MONOCYTES_91 15.5
MONOCYTES_92 15.4
MONOCYTES_93 15.3
MONOCYTES_94 15.1
MONOCYTES_95 15.1
MONOCYTES_96 14.9
MONOCYTES_97 14.7
MONOCYTES_98 14.6
MONOCYTES_99 14.5
MONOCYTES_100 14.4
MONOCYTES_101 14.4
MONOCYTES_102 14.2
MONOCYTES_103 14.0
MONOCYTES_104 13.3
MONOCYTES_105 12.7
MONOCYTES_106 12.6
Show allShow less
Non-classical monocyte
TPM: 24.0
Samples: 105

Max TPM: 43.5
Min TPM: 15.1
M2_1 43.5
M2_2 37.2
M2_3 35.4
M2_4 33.5
M2_5 33.4
M2_6 32.8
M2_7 32.1
M2_8 30.6
M2_9 30.5
M2_10 30.4
M2_11 30.4
M2_12 30.3
M2_13 30.1
M2_14 30.0
M2_15 28.8
M2_16 28.8
M2_17 28.5
M2_18 28.1
M2_19 28.0
M2_20 27.9
M2_21 27.8
M2_22 27.2
M2_23 27.2
M2_24 27.0
M2_25 27.0
M2_26 26.9
M2_27 26.6
M2_28 26.6
M2_29 26.0
M2_30 26.0
M2_31 26.0
M2_32 25.9
M2_33 25.9
M2_34 25.6
M2_35 25.6
M2_36 25.5
M2_37 25.4
M2_38 25.3
M2_39 24.9
M2_40 24.7
M2_41 24.5
M2_42 24.5
M2_43 24.4
M2_44 24.4
M2_45 24.2
M2_46 24.2
M2_47 24.1
M2_48 24.1
M2_49 24.1
M2_50 24.0
M2_51 24.0
M2_52 23.7
M2_53 23.6
M2_54 23.4
M2_55 23.3
M2_56 23.2
M2_57 23.1
M2_58 23.1
M2_59 23.1
M2_60 23.1
M2_61 23.1
M2_62 23.0
M2_63 22.8
M2_64 22.8
M2_65 22.6
M2_66 22.4
M2_67 22.2
M2_68 22.1
M2_69 21.9
M2_70 21.9
M2_71 21.8
M2_72 21.6
M2_73 21.3
M2_74 21.1
M2_75 21.1
M2_76 20.9
M2_77 20.8
M2_78 20.6
M2_79 20.5
M2_80 20.5
M2_81 20.5
M2_82 20.5
M2_83 20.4
M2_84 20.2
M2_85 20.0
M2_86 19.8
M2_87 19.5
M2_88 19.4
M2_89 19.3
M2_90 19.2
M2_91 19.2
M2_92 19.1
M2_93 19.0
M2_94 18.6
M2_95 18.1
M2_96 17.3
M2_97 17.2
M2_98 16.7
M2_99 16.5
M2_100 16.5
M2_101 16.1
M2_102 15.9
M2_103 15.6
M2_104 15.1
M2_105 15.1
Show allShow less

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