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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:9.5 nTPM
Monaco:9.7 nTPM
Schmiedel:18.2 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 9.5
HPA sample nTPM
Classical monocyte
nTPM: 8.2
Samples: 6

Max nTPM: 13.8
Min nTPM: 5.6
P10809_1003 5.6
P10809_1020 9.5
P10809_1039 13.8
P10809_1058 6.4
P10809_1080 7.0
P10809_1107 7.0
Intermediate monocyte
nTPM: 6.6
Samples: 6

Max nTPM: 11.3
Min nTPM: 3.7
P10809_1004 8.2
P10809_1023 3.7
P10809_1042 11.3
P10809_1061 4.2
P10809_1081 5.1
P10809_1108 7.3
Non-classical monocyte
nTPM: 9.5
Samples: 5

Max nTPM: 28.3
Min nTPM: 3.1
P10809_1005 6.2
P10809_1053 3.1
P10809_1072 28.3
P10809_1082 4.5
P10809_1109 5.4

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 9.7
Monaco sample nTPM
Classical monocyte
nTPM: 9.7
Samples: 4

Max nTPM: 14.1
Min nTPM: 5.6
RHH5313_R3680 7.0
RHH5221_R3593 12.2
RHH5250_R3622 5.6
RHH5279_R3651 14.1
Intermediate monocyte
nTPM: 8.5
Samples: 4

Max nTPM: 13.5
Min nTPM: 5.3
RHH5314_R3681 13.5
RHH5222_R3594 7.9
RHH5251_R3623 5.3
RHH5280_R3652 7.2
Non-classical monocyte
nTPM: 7.2
Samples: 4

Max nTPM: 10.5
Min nTPM: 5.6
RHH5315_R3682 7.1
RHH5223_R3595 5.6
RHH5252_R3624 10.5
RHH5281_R3653 5.7

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 18.2
Schmiedel sample id TPM
Classical monocyte
TPM: 18.2
Samples: 106

Max TPM: 30.2
Min TPM: 12.1
MONOCYTES_1 30.2
MONOCYTES_2 27.4
MONOCYTES_3 26.6
MONOCYTES_4 25.5
MONOCYTES_5 25.1
MONOCYTES_6 25.0
MONOCYTES_7 24.8
MONOCYTES_8 24.6
MONOCYTES_9 24.2
MONOCYTES_10 24.0
MONOCYTES_11 24.0
MONOCYTES_12 23.6
MONOCYTES_13 23.1
MONOCYTES_14 22.5
MONOCYTES_15 22.4
MONOCYTES_16 22.3
MONOCYTES_17 21.7
MONOCYTES_18 21.7
MONOCYTES_19 21.4
MONOCYTES_20 21.4
MONOCYTES_21 21.2
MONOCYTES_22 21.1
MONOCYTES_23 20.1
MONOCYTES_24 20.1
MONOCYTES_25 20.0
MONOCYTES_26 20.0
MONOCYTES_27 20.0
MONOCYTES_28 20.0
MONOCYTES_29 19.8
MONOCYTES_30 19.7
MONOCYTES_31 19.7
MONOCYTES_32 19.6
MONOCYTES_33 19.5
MONOCYTES_34 19.5
MONOCYTES_35 19.4
MONOCYTES_36 19.4
MONOCYTES_37 19.4
MONOCYTES_38 19.3
MONOCYTES_39 19.1
MONOCYTES_40 18.9
MONOCYTES_41 18.9
MONOCYTES_42 18.8
MONOCYTES_43 18.6
MONOCYTES_44 18.6
MONOCYTES_45 18.6
MONOCYTES_46 18.5
MONOCYTES_47 18.4
MONOCYTES_48 18.2
MONOCYTES_49 18.1
MONOCYTES_50 18.0
MONOCYTES_51 18.0
MONOCYTES_52 17.9
MONOCYTES_53 17.8
MONOCYTES_54 17.7
MONOCYTES_55 17.7
MONOCYTES_56 17.7
MONOCYTES_57 17.6
MONOCYTES_58 17.6
MONOCYTES_59 17.4
MONOCYTES_60 17.2
MONOCYTES_61 16.9
MONOCYTES_62 16.9
MONOCYTES_63 16.8
MONOCYTES_64 16.8
MONOCYTES_65 16.6
MONOCYTES_66 16.6
MONOCYTES_67 16.6
MONOCYTES_68 16.5
MONOCYTES_69 16.3
MONOCYTES_70 16.3
MONOCYTES_71 16.2
MONOCYTES_72 16.1
MONOCYTES_73 16.1
MONOCYTES_74 16.0
MONOCYTES_75 15.8
MONOCYTES_76 15.6
MONOCYTES_77 15.5
MONOCYTES_78 15.5
MONOCYTES_79 15.3
MONOCYTES_80 15.3
MONOCYTES_81 15.2
MONOCYTES_82 15.1
MONOCYTES_83 15.1
MONOCYTES_84 14.9
MONOCYTES_85 14.8
MONOCYTES_86 14.6
MONOCYTES_87 14.6
MONOCYTES_88 14.5
MONOCYTES_89 14.5
MONOCYTES_90 14.5
MONOCYTES_91 14.5
MONOCYTES_92 14.4
MONOCYTES_93 14.3
MONOCYTES_94 14.3
MONOCYTES_95 14.1
MONOCYTES_96 14.1
MONOCYTES_97 14.0
MONOCYTES_98 13.5
MONOCYTES_99 13.3
MONOCYTES_100 13.3
MONOCYTES_101 13.1
MONOCYTES_102 12.7
MONOCYTES_103 12.7
MONOCYTES_104 12.6
MONOCYTES_105 12.6
MONOCYTES_106 12.1
Show allShow less
Non-classical monocyte
TPM: 17.5
Samples: 105

Max TPM: 25.0
Min TPM: 8.6
M2_1 25.0
M2_2 24.6
M2_3 24.1
M2_4 23.1
M2_5 23.0
M2_6 22.6
M2_7 22.6
M2_8 22.4
M2_9 22.1
M2_10 22.1
M2_11 21.6
M2_12 21.6
M2_13 21.2
M2_14 21.0
M2_15 20.8
M2_16 20.7
M2_17 20.6
M2_18 20.4
M2_19 20.2
M2_20 20.2
M2_21 20.1
M2_22 20.0
M2_23 19.9
M2_24 19.8
M2_25 19.8
M2_26 19.6
M2_27 19.6
M2_28 19.4
M2_29 19.3
M2_30 19.3
M2_31 19.2
M2_32 19.2
M2_33 19.1
M2_34 18.9
M2_35 18.8
M2_36 18.7
M2_37 18.7
M2_38 18.6
M2_39 18.6
M2_40 18.6
M2_41 18.6
M2_42 18.5
M2_43 18.5
M2_44 18.3
M2_45 18.2
M2_46 18.1
M2_47 18.1
M2_48 18.0
M2_49 17.9
M2_50 17.9
M2_51 17.8
M2_52 17.8
M2_53 17.8
M2_54 17.6
M2_55 17.6
M2_56 17.5
M2_57 17.4
M2_58 17.4
M2_59 17.3
M2_60 17.3
M2_61 17.3
M2_62 17.2
M2_63 17.1
M2_64 17.1
M2_65 17.0
M2_66 17.0
M2_67 16.8
M2_68 16.7
M2_69 16.5
M2_70 16.5
M2_71 16.5
M2_72 16.4
M2_73 16.4
M2_74 16.3
M2_75 16.3
M2_76 16.2
M2_77 15.7
M2_78 15.6
M2_79 15.6
M2_80 15.6
M2_81 15.4
M2_82 14.9
M2_83 14.8
M2_84 14.5
M2_85 14.5
M2_86 14.4
M2_87 14.4
M2_88 14.3
M2_89 14.2
M2_90 14.1
M2_91 13.9
M2_92 13.9
M2_93 13.8
M2_94 13.6
M2_95 13.6
M2_96 13.0
M2_97 12.1
M2_98 12.1
M2_99 11.9
M2_100 11.7
M2_101 11.4
M2_102 10.9
M2_103 10.6
M2_104 9.7
M2_105 8.6
Show allShow less

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