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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:1.8 nTPM
Monaco:12.1 nTPM
Schmiedel:25.9 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 1.8
HPA sample nTPM
Classical monocyte
nTPM: 1.8
Samples: 6

Max nTPM: 3.7
Min nTPM: 0.7
P10809_1003 3.7
P10809_1020 0.7
P10809_1039 3.6
P10809_1058 1.0
P10809_1080 1.2
P10809_1107 0.8
Intermediate monocyte
nTPM: 1.4
Samples: 6

Max nTPM: 5.1
Min nTPM: 0.2
P10809_1004 0.2
P10809_1023 0.9
P10809_1042 0.4
P10809_1061 5.1
P10809_1081 0.7
P10809_1108 1.1
Non-classical monocyte
nTPM: 1.2
Samples: 5

Max nTPM: 4.6
Min nTPM: 0.0
P10809_1005 0.8
P10809_1053 4.6
P10809_1072 0.0
P10809_1082 0.4
P10809_1109 0.1

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 12.1
Monaco sample nTPM
Classical monocyte
nTPM: 12.1
Samples: 4

Max nTPM: 15.9
Min nTPM: 7.0
RHH5313_R3680 12.2
RHH5221_R3593 7.0
RHH5250_R3622 15.9
RHH5279_R3651 13.4
Intermediate monocyte
nTPM: 9.3
Samples: 4

Max nTPM: 13.6
Min nTPM: 4.5
RHH5314_R3681 13.6
RHH5222_R3594 9.0
RHH5251_R3623 4.5
RHH5280_R3652 9.9
Non-classical monocyte
nTPM: 8.2
Samples: 4

Max nTPM: 10.1
Min nTPM: 6.1
RHH5315_R3682 6.1
RHH5223_R3595 8.5
RHH5252_R3624 8.0
RHH5281_R3653 10.1

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 25.9
Schmiedel sample id TPM
Classical monocyte
TPM: 25.9
Samples: 106

Max TPM: 40.0
Min TPM: 15.8
MONOCYTES_1 40.0
MONOCYTES_2 39.3
MONOCYTES_3 38.2
MONOCYTES_4 36.5
MONOCYTES_5 34.4
MONOCYTES_6 33.7
MONOCYTES_7 33.5
MONOCYTES_8 33.3
MONOCYTES_9 32.2
MONOCYTES_10 32.0
MONOCYTES_11 31.9
MONOCYTES_12 31.8
MONOCYTES_13 31.4
MONOCYTES_14 31.1
MONOCYTES_15 31.1
MONOCYTES_16 31.0
MONOCYTES_17 30.6
MONOCYTES_18 30.5
MONOCYTES_19 30.4
MONOCYTES_20 30.4
MONOCYTES_21 30.2
MONOCYTES_22 30.2
MONOCYTES_23 29.8
MONOCYTES_24 29.5
MONOCYTES_25 29.3
MONOCYTES_26 29.2
MONOCYTES_27 29.1
MONOCYTES_28 29.1
MONOCYTES_29 29.1
MONOCYTES_30 29.0
MONOCYTES_31 28.7
MONOCYTES_32 28.6
MONOCYTES_33 28.5
MONOCYTES_34 28.5
MONOCYTES_35 28.4
MONOCYTES_36 28.3
MONOCYTES_37 28.2
MONOCYTES_38 28.1
MONOCYTES_39 28.0
MONOCYTES_40 27.8
MONOCYTES_41 27.8
MONOCYTES_42 27.8
MONOCYTES_43 27.4
MONOCYTES_44 26.5
MONOCYTES_45 26.5
MONOCYTES_46 26.4
MONOCYTES_47 26.3
MONOCYTES_48 26.3
MONOCYTES_49 26.2
MONOCYTES_50 26.1
MONOCYTES_51 26.1
MONOCYTES_52 25.9
MONOCYTES_53 25.9
MONOCYTES_54 25.7
MONOCYTES_55 25.7
MONOCYTES_56 25.6
MONOCYTES_57 25.5
MONOCYTES_58 25.4
MONOCYTES_59 25.1
MONOCYTES_60 25.0
MONOCYTES_61 24.8
MONOCYTES_62 24.3
MONOCYTES_63 24.3
MONOCYTES_64 24.1
MONOCYTES_65 24.1
MONOCYTES_66 24.0
MONOCYTES_67 24.0
MONOCYTES_68 23.7
MONOCYTES_69 23.3
MONOCYTES_70 23.1
MONOCYTES_71 23.1
MONOCYTES_72 23.0
MONOCYTES_73 22.8
MONOCYTES_74 22.7
MONOCYTES_75 22.6
MONOCYTES_76 22.4
MONOCYTES_77 22.2
MONOCYTES_78 22.2
MONOCYTES_79 22.1
MONOCYTES_80 21.9
MONOCYTES_81 21.9
MONOCYTES_82 21.8
MONOCYTES_83 21.7
MONOCYTES_84 21.6
MONOCYTES_85 21.6
MONOCYTES_86 21.3
MONOCYTES_87 21.3
MONOCYTES_88 21.0
MONOCYTES_89 20.9
MONOCYTES_90 20.8
MONOCYTES_91 20.8
MONOCYTES_92 20.7
MONOCYTES_93 20.6
MONOCYTES_94 20.4
MONOCYTES_95 20.2
MONOCYTES_96 20.0
MONOCYTES_97 19.9
MONOCYTES_98 19.8
MONOCYTES_99 19.3
MONOCYTES_100 19.0
MONOCYTES_101 18.7
MONOCYTES_102 18.6
MONOCYTES_103 18.0
MONOCYTES_104 18.0
MONOCYTES_105 16.6
MONOCYTES_106 15.8
Show allShow less
Non-classical monocyte
TPM: 25.4
Samples: 105

Max TPM: 36.3
Min TPM: 13.1
M2_1 36.3
M2_2 35.9
M2_3 34.6
M2_4 33.3
M2_5 33.1
M2_6 31.9
M2_7 31.7
M2_8 31.3
M2_9 31.1
M2_10 31.0
M2_11 30.2
M2_12 29.9
M2_13 29.4
M2_14 29.3
M2_15 29.2
M2_16 29.1
M2_17 28.7
M2_18 28.6
M2_19 28.3
M2_20 28.2
M2_21 28.2
M2_22 28.1
M2_23 28.0
M2_24 28.0
M2_25 27.9
M2_26 27.9
M2_27 27.8
M2_28 27.6
M2_29 27.4
M2_30 27.4
M2_31 27.2
M2_32 27.2
M2_33 27.1
M2_34 27.0
M2_35 27.0
M2_36 26.8
M2_37 26.7
M2_38 26.6
M2_39 26.6
M2_40 26.5
M2_41 26.5
M2_42 26.5
M2_43 26.5
M2_44 26.5
M2_45 26.3
M2_46 26.3
M2_47 26.1
M2_48 26.1
M2_49 26.0
M2_50 25.6
M2_51 25.6
M2_52 25.5
M2_53 25.3
M2_54 25.2
M2_55 25.1
M2_56 24.9
M2_57 24.8
M2_58 24.7
M2_59 24.7
M2_60 24.5
M2_61 24.4
M2_62 24.3
M2_63 24.2
M2_64 24.1
M2_65 24.1
M2_66 24.0
M2_67 24.0
M2_68 23.8
M2_69 23.6
M2_70 23.5
M2_71 23.5
M2_72 23.5
M2_73 23.4
M2_74 23.3
M2_75 23.3
M2_76 23.2
M2_77 23.2
M2_78 22.9
M2_79 22.7
M2_80 22.7
M2_81 22.6
M2_82 22.6
M2_83 22.5
M2_84 22.4
M2_85 22.4
M2_86 22.3
M2_87 22.0
M2_88 21.9
M2_89 21.8
M2_90 21.7
M2_91 21.6
M2_92 21.5
M2_93 21.5
M2_94 21.2
M2_95 21.2
M2_96 21.1
M2_97 20.6
M2_98 20.5
M2_99 20.2
M2_100 19.9
M2_101 19.3
M2_102 19.2
M2_103 18.9
M2_104 17.3
M2_105 13.1
Show allShow less

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