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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:1.6 nTPM
Monaco:11.5 nTPM
Schmiedel:50.5 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 1.6
HPA sample nTPM
Classical monocyte
nTPM: 1.6
Samples: 6

Max nTPM: 2.3
Min nTPM: 1.2
P10809_1003 1.2
P10809_1020 1.5
P10809_1039 2.3
P10809_1058 1.7
P10809_1080 1.2
P10809_1107 1.6
Intermediate monocyte
nTPM: 1.5
Samples: 6

Max nTPM: 2.2
Min nTPM: 0.8
P10809_1004 2.2
P10809_1023 1.7
P10809_1042 1.4
P10809_1061 0.8
P10809_1081 1.7
P10809_1108 0.9
Non-classical monocyte
nTPM: 1.3
Samples: 5

Max nTPM: 3.0
Min nTPM: 0.0
P10809_1005 1.1
P10809_1053 3.0
P10809_1072 0.0
P10809_1082 1.3
P10809_1109 1.2

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 11.5
Monaco sample nTPM
Classical monocyte
nTPM: 11.5
Samples: 4

Max nTPM: 16.3
Min nTPM: 8.8
RHH5313_R3680 8.8
RHH5221_R3593 16.3
RHH5250_R3622 9.3
RHH5279_R3651 11.4
Intermediate monocyte
nTPM: 9.5
Samples: 4

Max nTPM: 15.3
Min nTPM: 4.8
RHH5314_R3681 8.4
RHH5222_R3594 4.8
RHH5251_R3623 9.4
RHH5280_R3652 15.3
Non-classical monocyte
nTPM: 9.9
Samples: 4

Max nTPM: 14.6
Min nTPM: 6.8
RHH5315_R3682 9.2
RHH5223_R3595 9.1
RHH5252_R3624 14.6
RHH5281_R3653 6.8

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 50.5
Schmiedel sample id TPM
Classical monocyte
TPM: 50.5
Samples: 106

Max TPM: 74.6
Min TPM: 35.5
MONOCYTES_1 74.6
MONOCYTES_2 68.1
MONOCYTES_3 68.1
MONOCYTES_4 67.7
MONOCYTES_5 66.0
MONOCYTES_6 65.4
MONOCYTES_7 65.3
MONOCYTES_8 64.8
MONOCYTES_9 64.7
MONOCYTES_10 64.3
MONOCYTES_11 64.3
MONOCYTES_12 63.8
MONOCYTES_13 63.3
MONOCYTES_14 63.0
MONOCYTES_15 62.5
MONOCYTES_16 61.5
MONOCYTES_17 60.9
MONOCYTES_18 60.2
MONOCYTES_19 58.3
MONOCYTES_20 57.0
MONOCYTES_21 56.4
MONOCYTES_22 55.4
MONOCYTES_23 55.4
MONOCYTES_24 55.3
MONOCYTES_25 55.1
MONOCYTES_26 55.0
MONOCYTES_27 54.5
MONOCYTES_28 54.1
MONOCYTES_29 54.1
MONOCYTES_30 53.7
MONOCYTES_31 53.1
MONOCYTES_32 53.0
MONOCYTES_33 53.0
MONOCYTES_34 52.9
MONOCYTES_35 52.8
MONOCYTES_36 52.8
MONOCYTES_37 52.5
MONOCYTES_38 52.2
MONOCYTES_39 52.1
MONOCYTES_40 52.0
MONOCYTES_41 51.9
MONOCYTES_42 51.6
MONOCYTES_43 50.9
MONOCYTES_44 50.7
MONOCYTES_45 50.5
MONOCYTES_46 50.3
MONOCYTES_47 50.2
MONOCYTES_48 49.9
MONOCYTES_49 49.9
MONOCYTES_50 49.7
MONOCYTES_51 49.6
MONOCYTES_52 49.6
MONOCYTES_53 49.1
MONOCYTES_54 48.5
MONOCYTES_55 48.5
MONOCYTES_56 48.2
MONOCYTES_57 48.1
MONOCYTES_58 48.1
MONOCYTES_59 48.1
MONOCYTES_60 48.0
MONOCYTES_61 47.7
MONOCYTES_62 47.1
MONOCYTES_63 46.9
MONOCYTES_64 46.8
MONOCYTES_65 46.7
MONOCYTES_66 46.5
MONOCYTES_67 46.3
MONOCYTES_68 46.2
MONOCYTES_69 46.1
MONOCYTES_70 46.1
MONOCYTES_71 46.0
MONOCYTES_72 46.0
MONOCYTES_73 45.9
MONOCYTES_74 45.9
MONOCYTES_75 45.7
MONOCYTES_76 45.7
MONOCYTES_77 45.4
MONOCYTES_78 44.8
MONOCYTES_79 44.7
MONOCYTES_80 44.7
MONOCYTES_81 44.6
MONOCYTES_82 44.5
MONOCYTES_83 44.4
MONOCYTES_84 44.4
MONOCYTES_85 44.4
MONOCYTES_86 44.1
MONOCYTES_87 44.0
MONOCYTES_88 43.9
MONOCYTES_89 43.9
MONOCYTES_90 43.5
MONOCYTES_91 42.5
MONOCYTES_92 42.1
MONOCYTES_93 41.9
MONOCYTES_94 41.8
MONOCYTES_95 41.4
MONOCYTES_96 41.3
MONOCYTES_97 41.0
MONOCYTES_98 40.9
MONOCYTES_99 40.1
MONOCYTES_100 40.0
MONOCYTES_101 39.6
MONOCYTES_102 39.5
MONOCYTES_103 39.0
MONOCYTES_104 38.5
MONOCYTES_105 37.4
MONOCYTES_106 35.5
Show allShow less
Non-classical monocyte
TPM: 50.0
Samples: 105

Max TPM: 62.9
Min TPM: 38.6
M2_1 62.9
M2_2 62.8
M2_3 61.9
M2_4 61.3
M2_5 60.7
M2_6 60.4
M2_7 60.2
M2_8 59.9
M2_9 59.5
M2_10 59.1
M2_11 58.4
M2_12 58.3
M2_13 58.2
M2_14 58.1
M2_15 57.5
M2_16 57.1
M2_17 57.0
M2_18 57.0
M2_19 56.8
M2_20 56.6
M2_21 55.4
M2_22 55.3
M2_23 55.2
M2_24 55.0
M2_25 54.9
M2_26 54.7
M2_27 54.5
M2_28 54.5
M2_29 54.3
M2_30 54.3
M2_31 54.1
M2_32 53.2
M2_33 52.3
M2_34 52.1
M2_35 52.0
M2_36 51.8
M2_37 51.5
M2_38 51.2
M2_39 50.9
M2_40 50.4
M2_41 50.4
M2_42 50.1
M2_43 49.9
M2_44 49.9
M2_45 49.7
M2_46 49.3
M2_47 49.3
M2_48 49.3
M2_49 48.9
M2_50 48.9
M2_51 48.9
M2_52 48.9
M2_53 48.8
M2_54 48.6
M2_55 48.5
M2_56 48.4
M2_57 48.4
M2_58 48.4
M2_59 48.4
M2_60 48.3
M2_61 48.1
M2_62 47.9
M2_63 47.9
M2_64 47.9
M2_65 47.7
M2_66 47.7
M2_67 47.4
M2_68 47.4
M2_69 47.0
M2_70 46.9
M2_71 46.7
M2_72 46.7
M2_73 46.6
M2_74 46.5
M2_75 46.4
M2_76 46.3
M2_77 46.1
M2_78 46.0
M2_79 45.8
M2_80 45.8
M2_81 45.8
M2_82 45.7
M2_83 45.5
M2_84 45.2
M2_85 45.1
M2_86 44.8
M2_87 44.8
M2_88 44.7
M2_89 44.4
M2_90 44.1
M2_91 44.1
M2_92 44.0
M2_93 43.9
M2_94 43.7
M2_95 43.6
M2_96 43.2
M2_97 43.0
M2_98 42.8
M2_99 42.7
M2_100 41.7
M2_101 41.5
M2_102 40.2
M2_103 40.1
M2_104 39.1
M2_105 38.6
Show allShow less

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