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RNF187
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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:1.4 nTPM
Monaco:3.3 nTPM
Schmiedel:56.9 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 1.4
HPA sample nTPM
Classical monocyte
nTPM: 0.5
Samples: 6

Max nTPM: 0.8
Min nTPM: 0.3
P10809_1003 0.3
P10809_1020 0.8
P10809_1039 0.5
P10809_1058 0.3
P10809_1080 0.6
P10809_1107 0.7
Intermediate monocyte
nTPM: 1.0
Samples: 6

Max nTPM: 1.8
Min nTPM: 0.2
P10809_1004 1.1
P10809_1023 1.6
P10809_1042 0.9
P10809_1061 0.2
P10809_1081 0.4
P10809_1108 1.8
Non-classical monocyte
nTPM: 1.4
Samples: 5

Max nTPM: 3.1
Min nTPM: 0.5
P10809_1005 1.0
P10809_1053 0.7
P10809_1072 3.1
P10809_1082 0.5
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 3.3
Monaco sample nTPM
Classical monocyte
nTPM: 1.9
Samples: 4

Max nTPM: 4.0
Min nTPM: 0.3
RHH5313_R3680 1.8
RHH5221_R3593 4.0
RHH5250_R3622 1.4
RHH5279_R3651 0.3
Intermediate monocyte
nTPM: 2.6
Samples: 4

Max nTPM: 3.0
Min nTPM: 2.3
RHH5314_R3681 2.4
RHH5222_R3594 2.3
RHH5251_R3623 3.0
RHH5280_R3652 2.7
Non-classical monocyte
nTPM: 3.4
Samples: 4

Max nTPM: 4.8
Min nTPM: 2.5
RHH5315_R3682 2.7
RHH5223_R3595 2.5
RHH5252_R3624 4.8
RHH5281_R3653 3.4

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 56.9
Schmiedel sample id TPM
Classical monocyte
TPM: 37.4
Samples: 106

Max TPM: 55.8
Min TPM: 19.5
MONOCYTES_1 55.8
MONOCYTES_2 54.8
MONOCYTES_3 53.4
MONOCYTES_4 51.7
MONOCYTES_5 49.9
MONOCYTES_6 48.8
MONOCYTES_7 48.5
MONOCYTES_8 48.4
MONOCYTES_9 47.7
MONOCYTES_10 47.6
MONOCYTES_11 47.6
MONOCYTES_12 47.1
MONOCYTES_13 46.9
MONOCYTES_14 46.9
MONOCYTES_15 46.8
MONOCYTES_16 46.6
MONOCYTES_17 46.6
MONOCYTES_18 46.4
MONOCYTES_19 45.9
MONOCYTES_20 45.6
MONOCYTES_21 45.1
MONOCYTES_22 45.1
MONOCYTES_23 44.9
MONOCYTES_24 44.3
MONOCYTES_25 43.9
MONOCYTES_26 43.9
MONOCYTES_27 43.6
MONOCYTES_28 42.9
MONOCYTES_29 42.5
MONOCYTES_30 42.4
MONOCYTES_31 41.8
MONOCYTES_32 41.4
MONOCYTES_33 41.4
MONOCYTES_34 41.2
MONOCYTES_35 41.2
MONOCYTES_36 41.1
MONOCYTES_37 41.1
MONOCYTES_38 40.5
MONOCYTES_39 40.5
MONOCYTES_40 40.2
MONOCYTES_41 40.0
MONOCYTES_42 39.5
MONOCYTES_43 39.5
MONOCYTES_44 39.1
MONOCYTES_45 38.8
MONOCYTES_46 38.8
MONOCYTES_47 38.8
MONOCYTES_48 38.7
MONOCYTES_49 38.7
MONOCYTES_50 38.3
MONOCYTES_51 38.0
MONOCYTES_52 37.9
MONOCYTES_53 37.8
MONOCYTES_54 37.7
MONOCYTES_55 37.6
MONOCYTES_56 37.3
MONOCYTES_57 37.3
MONOCYTES_58 36.8
MONOCYTES_59 36.7
MONOCYTES_60 36.3
MONOCYTES_61 36.3
MONOCYTES_62 36.1
MONOCYTES_63 35.7
MONOCYTES_64 35.3
MONOCYTES_65 34.6
MONOCYTES_66 34.1
MONOCYTES_67 33.9
MONOCYTES_68 33.7
MONOCYTES_69 33.6
MONOCYTES_70 33.4
MONOCYTES_71 32.8
MONOCYTES_72 32.7
MONOCYTES_73 32.4
MONOCYTES_74 32.3
MONOCYTES_75 32.2
MONOCYTES_76 31.9
MONOCYTES_77 31.8
MONOCYTES_78 31.7
MONOCYTES_79 31.6
MONOCYTES_80 31.0
MONOCYTES_81 30.6
MONOCYTES_82 30.3
MONOCYTES_83 30.3
MONOCYTES_84 30.0
MONOCYTES_85 29.6
MONOCYTES_86 29.4
MONOCYTES_87 29.4
MONOCYTES_88 29.1
MONOCYTES_89 28.9
MONOCYTES_90 28.9
MONOCYTES_91 28.9
MONOCYTES_92 28.7
MONOCYTES_93 28.5
MONOCYTES_94 28.4
MONOCYTES_95 28.0
MONOCYTES_96 27.7
MONOCYTES_97 27.7
MONOCYTES_98 27.6
MONOCYTES_99 26.5
MONOCYTES_100 26.2
MONOCYTES_101 26.1
MONOCYTES_102 24.0
MONOCYTES_103 22.4
MONOCYTES_104 22.3
MONOCYTES_105 20.3
MONOCYTES_106 19.5
Show allShow less
Non-classical monocyte
TPM: 56.9
Samples: 105

Max TPM: 92.4
Min TPM: 26.9
M2_1 92.4
M2_2 89.8
M2_3 89.1
M2_4 85.3
M2_5 84.8
M2_6 84.0
M2_7 83.4
M2_8 83.4
M2_9 82.8
M2_10 81.0
M2_11 81.0
M2_12 79.3
M2_13 78.7
M2_14 77.9
M2_15 75.1
M2_16 75.0
M2_17 74.4
M2_18 74.3
M2_19 73.3
M2_20 72.0
M2_21 71.8
M2_22 71.6
M2_23 71.4
M2_24 71.4
M2_25 70.0
M2_26 69.6
M2_27 69.5
M2_28 69.2
M2_29 68.2
M2_30 68.2
M2_31 67.9
M2_32 67.8
M2_33 66.2
M2_34 65.9
M2_35 65.9
M2_36 65.1
M2_37 64.9
M2_38 64.7
M2_39 64.6
M2_40 64.4
M2_41 64.1
M2_42 63.8
M2_43 63.8
M2_44 63.6
M2_45 62.6
M2_46 62.4
M2_47 61.8
M2_48 61.4
M2_49 60.8
M2_50 60.6
M2_51 59.4
M2_52 59.0
M2_53 58.8
M2_54 58.6
M2_55 57.6
M2_56 56.0
M2_57 56.0
M2_58 55.7
M2_59 54.8
M2_60 53.7
M2_61 53.1
M2_62 52.6
M2_63 52.5
M2_64 52.1
M2_65 52.1
M2_66 48.6
M2_67 47.9
M2_68 47.7
M2_69 47.7
M2_70 46.9
M2_71 46.1
M2_72 46.0
M2_73 45.3
M2_74 45.1
M2_75 45.0
M2_76 44.8
M2_77 44.8
M2_78 44.5
M2_79 44.2
M2_80 42.5
M2_81 40.9
M2_82 40.2
M2_83 40.0
M2_84 38.7
M2_85 38.1
M2_86 37.7
M2_87 37.6
M2_88 37.2
M2_89 36.7
M2_90 36.0
M2_91 35.8
M2_92 35.5
M2_93 35.0
M2_94 35.0
M2_95 33.9
M2_96 32.5
M2_97 31.5
M2_98 31.5
M2_99 30.9
M2_100 30.9
M2_101 28.8
M2_102 28.3
M2_103 27.6
M2_104 27.5
M2_105 26.9
Show allShow less

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