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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:2.9 nTPM
Monaco:21.1 nTPM
Schmiedel:70.2 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 2.9
HPA sample nTPM
Classical monocyte
nTPM: 2.0
Samples: 6

Max nTPM: 2.4
Min nTPM: 1.3
P10809_1003 1.3
P10809_1020 2.4
P10809_1039 2.1
P10809_1058 2.3
P10809_1080 2.1
P10809_1107 1.8
Intermediate monocyte
nTPM: 2.9
Samples: 6

Max nTPM: 3.3
Min nTPM: 2.3
P10809_1004 3.3
P10809_1023 2.3
P10809_1042 2.8
P10809_1061 2.4
P10809_1081 3.3
P10809_1108 3.3
Non-classical monocyte
nTPM: 2.8
Samples: 5

Max nTPM: 4.1
Min nTPM: 1.6
P10809_1005 2.1
P10809_1053 2.7
P10809_1072 3.3
P10809_1082 4.1
P10809_1109 1.6

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 21.1
Monaco sample nTPM
Classical monocyte
nTPM: 19.1
Samples: 4

Max nTPM: 24.0
Min nTPM: 14.4
RHH5313_R3680 24.0
RHH5221_R3593 15.3
RHH5250_R3622 14.4
RHH5279_R3651 22.8
Intermediate monocyte
nTPM: 18.8
Samples: 4

Max nTPM: 22.0
Min nTPM: 14.9
RHH5314_R3681 14.9
RHH5222_R3594 22.0
RHH5251_R3623 20.2
RHH5280_R3652 18.1
Non-classical monocyte
nTPM: 21.1
Samples: 4

Max nTPM: 26.9
Min nTPM: 8.3
RHH5315_R3682 26.9
RHH5223_R3595 8.3
RHH5252_R3624 22.7
RHH5281_R3653 26.4

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 70.2
Schmiedel sample id TPM
Classical monocyte
TPM: 60.8
Samples: 106

Max TPM: 76.3
Min TPM: 43.2
MONOCYTES_1 76.3
MONOCYTES_2 74.5
MONOCYTES_3 73.1
MONOCYTES_4 72.8
MONOCYTES_5 72.7
MONOCYTES_6 72.7
MONOCYTES_7 72.1
MONOCYTES_8 70.6
MONOCYTES_9 70.5
MONOCYTES_10 70.4
MONOCYTES_11 69.4
MONOCYTES_12 69.2
MONOCYTES_13 68.8
MONOCYTES_14 68.4
MONOCYTES_15 68.3
MONOCYTES_16 68.3
MONOCYTES_17 68.0
MONOCYTES_18 67.8
MONOCYTES_19 67.7
MONOCYTES_20 67.7
MONOCYTES_21 67.4
MONOCYTES_22 67.0
MONOCYTES_23 66.7
MONOCYTES_24 66.5
MONOCYTES_25 66.4
MONOCYTES_26 66.4
MONOCYTES_27 66.4
MONOCYTES_28 66.2
MONOCYTES_29 66.2
MONOCYTES_30 66.1
MONOCYTES_31 66.0
MONOCYTES_32 65.4
MONOCYTES_33 65.4
MONOCYTES_34 65.2
MONOCYTES_35 65.1
MONOCYTES_36 64.5
MONOCYTES_37 64.5
MONOCYTES_38 64.4
MONOCYTES_39 64.0
MONOCYTES_40 63.7
MONOCYTES_41 63.3
MONOCYTES_42 63.0
MONOCYTES_43 62.6
MONOCYTES_44 61.7
MONOCYTES_45 61.6
MONOCYTES_46 61.4
MONOCYTES_47 61.2
MONOCYTES_48 61.0
MONOCYTES_49 61.0
MONOCYTES_50 60.9
MONOCYTES_51 60.7
MONOCYTES_52 60.6
MONOCYTES_53 60.6
MONOCYTES_54 60.5
MONOCYTES_55 60.3
MONOCYTES_56 59.8
MONOCYTES_57 59.6
MONOCYTES_58 59.3
MONOCYTES_59 59.3
MONOCYTES_60 59.0
MONOCYTES_61 58.7
MONOCYTES_62 58.4
MONOCYTES_63 58.1
MONOCYTES_64 58.0
MONOCYTES_65 57.9
MONOCYTES_66 57.7
MONOCYTES_67 57.5
MONOCYTES_68 57.3
MONOCYTES_69 57.3
MONOCYTES_70 57.2
MONOCYTES_71 57.1
MONOCYTES_72 57.1
MONOCYTES_73 57.1
MONOCYTES_74 57.1
MONOCYTES_75 57.0
MONOCYTES_76 57.0
MONOCYTES_77 57.0
MONOCYTES_78 56.9
MONOCYTES_79 56.7
MONOCYTES_80 56.4
MONOCYTES_81 55.9
MONOCYTES_82 55.8
MONOCYTES_83 55.8
MONOCYTES_84 55.3
MONOCYTES_85 55.3
MONOCYTES_86 55.1
MONOCYTES_87 54.9
MONOCYTES_88 54.6
MONOCYTES_89 54.4
MONOCYTES_90 54.2
MONOCYTES_91 53.8
MONOCYTES_92 53.6
MONOCYTES_93 53.5
MONOCYTES_94 53.0
MONOCYTES_95 51.9
MONOCYTES_96 51.8
MONOCYTES_97 51.7
MONOCYTES_98 51.4
MONOCYTES_99 50.9
MONOCYTES_100 49.8
MONOCYTES_101 49.5
MONOCYTES_102 48.4
MONOCYTES_103 48.0
MONOCYTES_104 46.7
MONOCYTES_105 45.1
MONOCYTES_106 43.2
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Non-classical monocyte
TPM: 70.2
Samples: 105

Max TPM: 95.7
Min TPM: 51.9
M2_1 95.7
M2_2 90.0
M2_3 89.5
M2_4 89.3
M2_5 88.9
M2_6 88.6
M2_7 87.6
M2_8 86.9
M2_9 86.4
M2_10 86.3
M2_11 85.9
M2_12 84.8
M2_13 84.5
M2_14 83.7
M2_15 83.4
M2_16 82.1
M2_17 81.6
M2_18 81.4
M2_19 81.0
M2_20 79.7
M2_21 79.1
M2_22 78.9
M2_23 78.8
M2_24 78.2
M2_25 78.2
M2_26 78.0
M2_27 77.8
M2_28 76.7
M2_29 76.5
M2_30 76.3
M2_31 76.0
M2_32 75.9
M2_33 75.0
M2_34 74.3
M2_35 74.3
M2_36 74.3
M2_37 74.2
M2_38 74.0
M2_39 73.5
M2_40 72.5
M2_41 71.9
M2_42 71.6
M2_43 71.3
M2_44 70.9
M2_45 70.8
M2_46 70.0
M2_47 69.3
M2_48 69.1
M2_49 68.8
M2_50 68.7
M2_51 68.4
M2_52 68.3
M2_53 67.5
M2_54 67.4
M2_55 67.3
M2_56 67.2
M2_57 67.0
M2_58 67.0
M2_59 66.9
M2_60 66.1
M2_61 65.5
M2_62 65.5
M2_63 65.4
M2_64 65.3
M2_65 65.2
M2_66 64.8
M2_67 64.7
M2_68 64.7
M2_69 64.5
M2_70 64.3
M2_71 64.2
M2_72 64.1
M2_73 63.9
M2_74 63.7
M2_75 63.4
M2_76 63.3
M2_77 63.0
M2_78 62.7
M2_79 62.5
M2_80 62.5
M2_81 62.2
M2_82 62.0
M2_83 61.7
M2_84 61.5
M2_85 61.5
M2_86 61.1
M2_87 60.8
M2_88 60.3
M2_89 60.2
M2_90 60.1
M2_91 60.1
M2_92 60.0
M2_93 59.4
M2_94 59.3
M2_95 59.2
M2_96 58.7
M2_97 58.3
M2_98 57.9
M2_99 57.8
M2_100 57.6
M2_101 57.4
M2_102 56.6
M2_103 54.7
M2_104 53.1
M2_105 51.9
Show allShow less

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