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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:12.7 nTPM
Monaco:81.6 nTPM
Schmiedel:18.0 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 12.7
HPA sample nTPM
Classical monocyte
nTPM: 11.6
Samples: 6

Max nTPM: 14.9
Min nTPM: 4.8
P10809_1003 10.3
P10809_1020 13.0
P10809_1039 13.9
P10809_1058 14.9
P10809_1080 12.5
P10809_1107 4.8
Intermediate monocyte
nTPM: 12.6
Samples: 6

Max nTPM: 23.2
Min nTPM: 4.1
P10809_1004 14.2
P10809_1023 12.0
P10809_1042 23.2
P10809_1061 8.7
P10809_1081 13.6
P10809_1108 4.1
Non-classical monocyte
nTPM: 7.3
Samples: 5

Max nTPM: 12.6
Min nTPM: 0.2
P10809_1005 12.6
P10809_1053 11.0
P10809_1072 0.2
P10809_1082 6.6
P10809_1109 6.1

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 81.6
Monaco sample nTPM
Classical monocyte
nTPM: 81.6
Samples: 4

Max nTPM: 105.2
Min nTPM: 70.4
RHH5313_R3680 70.4
RHH5221_R3593 105.2
RHH5250_R3622 74.3
RHH5279_R3651 76.4
Intermediate monocyte
nTPM: 71.4
Samples: 4

Max nTPM: 86.0
Min nTPM: 47.7
RHH5314_R3681 70.3
RHH5222_R3594 86.0
RHH5251_R3623 47.7
RHH5280_R3652 81.7
Non-classical monocyte
nTPM: 67.7
Samples: 4

Max nTPM: 81.3
Min nTPM: 53.1
RHH5315_R3682 81.3
RHH5223_R3595 67.6
RHH5252_R3624 68.8
RHH5281_R3653 53.1

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 18.0
Schmiedel sample id TPM
Classical monocyte
TPM: 11.6
Samples: 106

Max TPM: 17.3
Min TPM: 4.7
MONOCYTES_1 17.3
MONOCYTES_2 16.1
MONOCYTES_3 15.9
MONOCYTES_4 15.8
MONOCYTES_5 15.8
MONOCYTES_6 15.8
MONOCYTES_7 15.5
MONOCYTES_8 15.4
MONOCYTES_9 15.3
MONOCYTES_10 15.1
MONOCYTES_11 15.1
MONOCYTES_12 14.8
MONOCYTES_13 14.7
MONOCYTES_14 14.7
MONOCYTES_15 14.6
MONOCYTES_16 14.6
MONOCYTES_17 14.5
MONOCYTES_18 14.5
MONOCYTES_19 14.4
MONOCYTES_20 14.3
MONOCYTES_21 14.3
MONOCYTES_22 14.3
MONOCYTES_23 14.2
MONOCYTES_24 14.0
MONOCYTES_25 13.9
MONOCYTES_26 13.9
MONOCYTES_27 13.7
MONOCYTES_28 13.6
MONOCYTES_29 13.4
MONOCYTES_30 13.4
MONOCYTES_31 13.3
MONOCYTES_32 13.3
MONOCYTES_33 13.2
MONOCYTES_34 13.1
MONOCYTES_35 13.0
MONOCYTES_36 13.0
MONOCYTES_37 12.9
MONOCYTES_38 12.9
MONOCYTES_39 12.8
MONOCYTES_40 12.8
MONOCYTES_41 12.8
MONOCYTES_42 12.8
MONOCYTES_43 12.7
MONOCYTES_44 12.6
MONOCYTES_45 12.5
MONOCYTES_46 12.5
MONOCYTES_47 12.5
MONOCYTES_48 12.5
MONOCYTES_49 12.4
MONOCYTES_50 12.4
MONOCYTES_51 12.3
MONOCYTES_52 12.1
MONOCYTES_53 12.0
MONOCYTES_54 12.0
MONOCYTES_55 11.9
MONOCYTES_56 11.8
MONOCYTES_57 11.8
MONOCYTES_58 11.7
MONOCYTES_59 11.7
MONOCYTES_60 11.6
MONOCYTES_61 11.6
MONOCYTES_62 11.5
MONOCYTES_63 11.5
MONOCYTES_64 11.4
MONOCYTES_65 11.4
MONOCYTES_66 11.3
MONOCYTES_67 11.2
MONOCYTES_68 11.0
MONOCYTES_69 10.4
MONOCYTES_70 10.4
MONOCYTES_71 10.4
MONOCYTES_72 10.3
MONOCYTES_73 10.3
MONOCYTES_74 10.3
MONOCYTES_75 10.3
MONOCYTES_76 10.3
MONOCYTES_77 9.8
MONOCYTES_78 9.7
MONOCYTES_79 9.7
MONOCYTES_80 9.7
MONOCYTES_81 9.6
MONOCYTES_82 9.6
MONOCYTES_83 9.5
MONOCYTES_84 9.1
MONOCYTES_85 8.8
MONOCYTES_86 8.7
MONOCYTES_87 8.6
MONOCYTES_88 8.5
MONOCYTES_89 8.5
MONOCYTES_90 8.3
MONOCYTES_91 8.3
MONOCYTES_92 8.0
MONOCYTES_93 7.9
MONOCYTES_94 7.8
MONOCYTES_95 7.7
MONOCYTES_96 7.5
MONOCYTES_97 7.5
MONOCYTES_98 6.9
MONOCYTES_99 6.4
MONOCYTES_100 6.4
MONOCYTES_101 5.8
MONOCYTES_102 5.5
MONOCYTES_103 5.3
MONOCYTES_104 5.0
MONOCYTES_105 4.9
MONOCYTES_106 4.7
Show allShow less
Non-classical monocyte
TPM: 18.0
Samples: 105

Max TPM: 26.6
Min TPM: 10.1
M2_1 26.6
M2_2 25.0
M2_3 25.0
M2_4 24.8
M2_5 24.8
M2_6 24.8
M2_7 24.8
M2_8 23.1
M2_9 22.5
M2_10 22.2
M2_11 21.9
M2_12 21.9
M2_13 21.2
M2_14 21.2
M2_15 21.2
M2_16 21.0
M2_17 20.9
M2_18 20.8
M2_19 20.8
M2_20 20.7
M2_21 20.7
M2_22 20.6
M2_23 20.5
M2_24 20.5
M2_25 19.7
M2_26 19.4
M2_27 19.3
M2_28 19.2
M2_29 19.2
M2_30 19.1
M2_31 19.0
M2_32 19.0
M2_33 18.9
M2_34 18.9
M2_35 18.8
M2_36 18.8
M2_37 18.7
M2_38 18.7
M2_39 18.7
M2_40 18.7
M2_41 18.6
M2_42 18.6
M2_43 18.5
M2_44 18.5
M2_45 18.5
M2_46 18.5
M2_47 18.4
M2_48 18.2
M2_49 18.2
M2_50 18.1
M2_51 18.0
M2_52 17.9
M2_53 17.6
M2_54 17.5
M2_55 17.5
M2_56 17.4
M2_57 17.4
M2_58 17.4
M2_59 17.3
M2_60 17.3
M2_61 17.3
M2_62 17.3
M2_63 17.2
M2_64 17.2
M2_65 17.1
M2_66 17.1
M2_67 17.1
M2_68 17.1
M2_69 17.0
M2_70 17.0
M2_71 17.0
M2_72 16.8
M2_73 16.7
M2_74 16.7
M2_75 16.7
M2_76 16.6
M2_77 16.6
M2_78 16.5
M2_79 16.5
M2_80 16.4
M2_81 16.4
M2_82 16.3
M2_83 16.3
M2_84 15.9
M2_85 15.7
M2_86 15.3
M2_87 15.2
M2_88 15.1
M2_89 14.7
M2_90 14.4
M2_91 14.4
M2_92 14.3
M2_93 14.3
M2_94 14.0
M2_95 13.9
M2_96 13.5
M2_97 13.5
M2_98 13.5
M2_99 13.1
M2_100 13.0
M2_101 12.8
M2_102 12.4
M2_103 11.1
M2_104 10.9
M2_105 10.1
Show allShow less

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