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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:0.7 nTPM
Monaco:10.3 nTPM
Schmiedel:59.2 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 0.7
HPA sample nTPM
Classical monocyte
nTPM: 0.5
Samples: 6

Max nTPM: 1.0
Min nTPM: 0.3
P10809_1003 1.0
P10809_1020 0.3
P10809_1039 0.4
P10809_1058 0.4
P10809_1080 0.5
P10809_1107 0.4
Intermediate monocyte
nTPM: 0.3
Samples: 6

Max nTPM: 0.7
Min nTPM: 0.0
P10809_1004 0.7
P10809_1023 0.1
P10809_1042 0.2
P10809_1061 0.0
P10809_1081 0.4
P10809_1108 0.2
Non-classical monocyte
nTPM: 0.7
Samples: 5

Max nTPM: 1.2
Min nTPM: 0.4
P10809_1005 0.5
P10809_1053 0.6
P10809_1072 1.2
P10809_1082 0.4
P10809_1109 0.6

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 10.3
Monaco sample nTPM
Classical monocyte
nTPM: 9.4
Samples: 4

Max nTPM: 11.8
Min nTPM: 5.7
RHH5313_R3680 9.6
RHH5221_R3593 5.7
RHH5250_R3622 10.5
RHH5279_R3651 11.8
Intermediate monocyte
nTPM: 7.9
Samples: 4

Max nTPM: 8.8
Min nTPM: 6.8
RHH5314_R3681 7.5
RHH5222_R3594 8.6
RHH5251_R3623 6.8
RHH5280_R3652 8.8
Non-classical monocyte
nTPM: 10.4
Samples: 4

Max nTPM: 10.8
Min nTPM: 9.8
RHH5315_R3682 10.3
RHH5223_R3595 10.5
RHH5252_R3624 10.8
RHH5281_R3653 9.8

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 59.2
Schmiedel sample id TPM
Classical monocyte
TPM: 43.1
Samples: 106

Max TPM: 60.4
Min TPM: 31.0
MONOCYTES_1 60.4
MONOCYTES_2 58.8
MONOCYTES_3 58.8
MONOCYTES_4 57.3
MONOCYTES_5 56.9
MONOCYTES_6 54.3
MONOCYTES_7 53.3
MONOCYTES_8 52.3
MONOCYTES_9 52.0
MONOCYTES_10 51.5
MONOCYTES_11 50.3
MONOCYTES_12 49.7
MONOCYTES_13 49.1
MONOCYTES_14 48.8
MONOCYTES_15 48.4
MONOCYTES_16 47.9
MONOCYTES_17 47.8
MONOCYTES_18 47.8
MONOCYTES_19 47.7
MONOCYTES_20 47.6
MONOCYTES_21 47.4
MONOCYTES_22 47.3
MONOCYTES_23 47.2
MONOCYTES_24 47.1
MONOCYTES_25 47.0
MONOCYTES_26 46.3
MONOCYTES_27 46.2
MONOCYTES_28 46.1
MONOCYTES_29 46.1
MONOCYTES_30 45.8
MONOCYTES_31 45.7
MONOCYTES_32 45.5
MONOCYTES_33 45.2
MONOCYTES_34 45.2
MONOCYTES_35 45.1
MONOCYTES_36 45.0
MONOCYTES_37 45.0
MONOCYTES_38 45.0
MONOCYTES_39 44.8
MONOCYTES_40 44.8
MONOCYTES_41 44.7
MONOCYTES_42 44.6
MONOCYTES_43 44.6
MONOCYTES_44 44.2
MONOCYTES_45 44.0
MONOCYTES_46 43.6
MONOCYTES_47 43.5
MONOCYTES_48 43.5
MONOCYTES_49 43.2
MONOCYTES_50 43.1
MONOCYTES_51 43.0
MONOCYTES_52 43.0
MONOCYTES_53 42.9
MONOCYTES_54 42.8
MONOCYTES_55 42.7
MONOCYTES_56 42.7
MONOCYTES_57 42.7
MONOCYTES_58 42.5
MONOCYTES_59 41.8
MONOCYTES_60 41.6
MONOCYTES_61 41.4
MONOCYTES_62 41.4
MONOCYTES_63 41.3
MONOCYTES_64 41.1
MONOCYTES_65 41.1
MONOCYTES_66 40.4
MONOCYTES_67 40.4
MONOCYTES_68 40.3
MONOCYTES_69 40.3
MONOCYTES_70 40.2
MONOCYTES_71 40.1
MONOCYTES_72 40.1
MONOCYTES_73 39.6
MONOCYTES_74 39.5
MONOCYTES_75 39.3
MONOCYTES_76 39.2
MONOCYTES_77 39.2
MONOCYTES_78 39.2
MONOCYTES_79 39.1
MONOCYTES_80 38.9
MONOCYTES_81 38.9
MONOCYTES_82 38.7
MONOCYTES_83 38.6
MONOCYTES_84 38.5
MONOCYTES_85 38.5
MONOCYTES_86 38.4
MONOCYTES_87 38.4
MONOCYTES_88 38.1
MONOCYTES_89 37.7
MONOCYTES_90 37.7
MONOCYTES_91 37.6
MONOCYTES_92 37.3
MONOCYTES_93 37.1
MONOCYTES_94 36.2
MONOCYTES_95 36.0
MONOCYTES_96 35.9
MONOCYTES_97 35.7
MONOCYTES_98 35.6
MONOCYTES_99 35.3
MONOCYTES_100 35.0
MONOCYTES_101 34.9
MONOCYTES_102 34.0
MONOCYTES_103 32.4
MONOCYTES_104 31.9
MONOCYTES_105 31.9
MONOCYTES_106 31.0
Show allShow less
Non-classical monocyte
TPM: 59.2
Samples: 105

Max TPM: 86.2
Min TPM: 31.7
M2_1 86.2
M2_2 80.7
M2_3 80.3
M2_4 76.2
M2_5 74.4
M2_6 72.7
M2_7 72.7
M2_8 72.2
M2_9 72.1
M2_10 72.0
M2_11 70.5
M2_12 70.1
M2_13 69.5
M2_14 69.3
M2_15 69.3
M2_16 68.8
M2_17 68.7
M2_18 68.5
M2_19 68.5
M2_20 68.4
M2_21 67.9
M2_22 67.7
M2_23 67.1
M2_24 66.7
M2_25 66.4
M2_26 66.4
M2_27 66.2
M2_28 65.9
M2_29 65.8
M2_30 65.0
M2_31 65.0
M2_32 64.5
M2_33 64.4
M2_34 64.2
M2_35 64.1
M2_36 63.3
M2_37 63.1
M2_38 62.8
M2_39 62.5
M2_40 62.3
M2_41 62.3
M2_42 61.2
M2_43 61.1
M2_44 60.5
M2_45 60.4
M2_46 60.2
M2_47 60.1
M2_48 60.0
M2_49 60.0
M2_50 59.8
M2_51 59.3
M2_52 59.3
M2_53 58.8
M2_54 58.4
M2_55 58.4
M2_56 58.3
M2_57 57.6
M2_58 57.4
M2_59 57.3
M2_60 57.1
M2_61 56.9
M2_62 56.8
M2_63 56.6
M2_64 56.2
M2_65 56.1
M2_66 56.1
M2_67 55.8
M2_68 55.8
M2_69 55.7
M2_70 55.7
M2_71 55.2
M2_72 54.8
M2_73 54.8
M2_74 54.4
M2_75 54.4
M2_76 54.3
M2_77 54.3
M2_78 53.7
M2_79 53.2
M2_80 53.1
M2_81 53.0
M2_82 52.6
M2_83 52.5
M2_84 52.0
M2_85 51.9
M2_86 51.4
M2_87 50.3
M2_88 50.0
M2_89 49.9
M2_90 49.9
M2_91 49.9
M2_92 49.7
M2_93 49.4
M2_94 48.9
M2_95 48.8
M2_96 48.7
M2_97 48.1
M2_98 47.1
M2_99 46.2
M2_100 42.9
M2_101 42.1
M2_102 40.3
M2_103 36.6
M2_104 32.7
M2_105 31.7
Show allShow less

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