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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:3.3 nTPM
Monaco:8.6 nTPM
Schmiedel:49.1 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 3.3
HPA sample nTPM
Classical monocyte
nTPM: 2.4
Samples: 6

Max nTPM: 3.6
Min nTPM: 1.7
P10809_1003 1.7
P10809_1020 1.7
P10809_1039 2.2
P10809_1058 2.3
P10809_1080 3.6
P10809_1107 3.1
Intermediate monocyte
nTPM: 3.3
Samples: 6

Max nTPM: 5.4
Min nTPM: 2.3
P10809_1004 2.6
P10809_1023 5.4
P10809_1042 2.3
P10809_1061 3.7
P10809_1081 2.6
P10809_1108 3.3
Non-classical monocyte
nTPM: 2.3
Samples: 5

Max nTPM: 3.0
Min nTPM: 1.6
P10809_1005 1.6
P10809_1053 2.5
P10809_1072 1.9
P10809_1082 2.6
P10809_1109 3.0

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 8.6
Monaco sample nTPM
Classical monocyte
nTPM: 8.6
Samples: 4

Max nTPM: 10.4
Min nTPM: 6.5
RHH5313_R3680 6.5
RHH5221_R3593 10.4
RHH5250_R3622 9.7
RHH5279_R3651 7.8
Intermediate monocyte
nTPM: 7.6
Samples: 4

Max nTPM: 9.5
Min nTPM: 5.2
RHH5314_R3681 9.5
RHH5222_R3594 6.5
RHH5251_R3623 9.1
RHH5280_R3652 5.2
Non-classical monocyte
nTPM: 6.0
Samples: 4

Max nTPM: 6.5
Min nTPM: 5.4
RHH5315_R3682 5.8
RHH5223_R3595 5.4
RHH5252_R3624 6.5
RHH5281_R3653 6.3

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 49.1
Schmiedel sample id TPM
Classical monocyte
TPM: 41.6
Samples: 106

Max TPM: 57.3
Min TPM: 27.5
MONOCYTES_1 57.3
MONOCYTES_2 54.3
MONOCYTES_3 54.2
MONOCYTES_4 53.9
MONOCYTES_5 51.5
MONOCYTES_6 50.9
MONOCYTES_7 50.3
MONOCYTES_8 49.8
MONOCYTES_9 49.7
MONOCYTES_10 49.7
MONOCYTES_11 49.6
MONOCYTES_12 49.5
MONOCYTES_13 48.6
MONOCYTES_14 48.4
MONOCYTES_15 48.3
MONOCYTES_16 48.3
MONOCYTES_17 48.2
MONOCYTES_18 48.0
MONOCYTES_19 47.6
MONOCYTES_20 46.5
MONOCYTES_21 46.1
MONOCYTES_22 45.9
MONOCYTES_23 45.9
MONOCYTES_24 45.8
MONOCYTES_25 45.6
MONOCYTES_26 45.6
MONOCYTES_27 45.4
MONOCYTES_28 45.2
MONOCYTES_29 44.9
MONOCYTES_30 44.9
MONOCYTES_31 44.9
MONOCYTES_32 44.8
MONOCYTES_33 44.8
MONOCYTES_34 44.6
MONOCYTES_35 44.2
MONOCYTES_36 43.9
MONOCYTES_37 43.9
MONOCYTES_38 43.8
MONOCYTES_39 43.7
MONOCYTES_40 43.7
MONOCYTES_41 43.2
MONOCYTES_42 43.1
MONOCYTES_43 43.0
MONOCYTES_44 42.9
MONOCYTES_45 42.8
MONOCYTES_46 42.6
MONOCYTES_47 42.0
MONOCYTES_48 41.9
MONOCYTES_49 41.9
MONOCYTES_50 41.7
MONOCYTES_51 41.6
MONOCYTES_52 41.6
MONOCYTES_53 41.6
MONOCYTES_54 41.5
MONOCYTES_55 41.2
MONOCYTES_56 40.9
MONOCYTES_57 40.6
MONOCYTES_58 40.5
MONOCYTES_59 40.5
MONOCYTES_60 40.5
MONOCYTES_61 40.2
MONOCYTES_62 40.2
MONOCYTES_63 40.1
MONOCYTES_64 40.1
MONOCYTES_65 40.0
MONOCYTES_66 39.9
MONOCYTES_67 39.8
MONOCYTES_68 39.8
MONOCYTES_69 39.5
MONOCYTES_70 39.4
MONOCYTES_71 39.1
MONOCYTES_72 38.9
MONOCYTES_73 38.8
MONOCYTES_74 38.5
MONOCYTES_75 38.5
MONOCYTES_76 38.4
MONOCYTES_77 38.2
MONOCYTES_78 38.1
MONOCYTES_79 38.1
MONOCYTES_80 37.9
MONOCYTES_81 37.7
MONOCYTES_82 37.7
MONOCYTES_83 37.3
MONOCYTES_84 37.2
MONOCYTES_85 36.8
MONOCYTES_86 36.7
MONOCYTES_87 36.2
MONOCYTES_88 36.2
MONOCYTES_89 36.1
MONOCYTES_90 35.7
MONOCYTES_91 35.5
MONOCYTES_92 35.4
MONOCYTES_93 34.7
MONOCYTES_94 34.7
MONOCYTES_95 33.9
MONOCYTES_96 33.7
MONOCYTES_97 33.6
MONOCYTES_98 33.2
MONOCYTES_99 32.6
MONOCYTES_100 32.2
MONOCYTES_101 32.1
MONOCYTES_102 31.9
MONOCYTES_103 31.6
MONOCYTES_104 31.5
MONOCYTES_105 29.1
MONOCYTES_106 27.5
Show allShow less
Non-classical monocyte
TPM: 49.1
Samples: 105

Max TPM: 65.0
Min TPM: 34.4
M2_1 65.0
M2_2 60.5
M2_3 60.0
M2_4 59.8
M2_5 59.2
M2_6 58.4
M2_7 58.2
M2_8 57.7
M2_9 57.6
M2_10 57.3
M2_11 56.6
M2_12 56.1
M2_13 55.9
M2_14 55.8
M2_15 55.6
M2_16 55.4
M2_17 55.4
M2_18 54.8
M2_19 54.8
M2_20 54.7
M2_21 54.3
M2_22 53.9
M2_23 53.9
M2_24 53.9
M2_25 53.7
M2_26 53.7
M2_27 53.6
M2_28 53.5
M2_29 53.1
M2_30 53.1
M2_31 52.9
M2_32 52.5
M2_33 52.2
M2_34 52.0
M2_35 51.9
M2_36 51.8
M2_37 51.6
M2_38 51.6
M2_39 51.5
M2_40 51.5
M2_41 51.2
M2_42 51.1
M2_43 51.1
M2_44 51.0
M2_45 51.0
M2_46 51.0
M2_47 51.0
M2_48 50.7
M2_49 50.4
M2_50 49.8
M2_51 49.7
M2_52 49.4
M2_53 49.4
M2_54 49.4
M2_55 49.2
M2_56 49.1
M2_57 49.1
M2_58 49.0
M2_59 48.6
M2_60 48.3
M2_61 48.2
M2_62 47.8
M2_63 47.8
M2_64 47.5
M2_65 47.2
M2_66 47.1
M2_67 47.0
M2_68 46.6
M2_69 46.3
M2_70 46.3
M2_71 46.2
M2_72 45.5
M2_73 45.5
M2_74 45.5
M2_75 45.3
M2_76 45.2
M2_77 44.8
M2_78 44.8
M2_79 44.6
M2_80 44.4
M2_81 44.4
M2_82 44.4
M2_83 44.2
M2_84 44.2
M2_85 43.7
M2_86 43.6
M2_87 43.4
M2_88 43.3
M2_89 43.1
M2_90 43.1
M2_91 42.8
M2_92 42.4
M2_93 42.4
M2_94 42.1
M2_95 40.9
M2_96 39.4
M2_97 39.4
M2_98 39.2
M2_99 37.8
M2_100 37.4
M2_101 37.2
M2_102 36.8
M2_103 36.8
M2_104 36.0
M2_105 34.4
Show allShow less

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