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Gene Information
Gene symbol: RAB33A
Gene name: RAB33A, member RAS oncogene family
HGNC ID: 9773
Synonyms: RabS10
Related Genes
Related Sentences
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PMID |
Sentence |
1 |
23676757
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The study shows that transcription of SEC14L1, GUSB, BPI, CCR7 and TGFβ-1 (all P ≤ 0.05) was downregulated in TB disease compared with uninfected controls, while transcription of RAB33A was downregulated in TB disease compared with both latent TB (P < 0.05) and controls (P < 0.01).
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2 |
23676757
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The transcription of CD4, TGFβ-1 (P < 0.01) and the expression of IL-2 (P < 0.01) and IL-13 (P < 0.05) was upregulated in latent TB compared with that in controls.
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3 |
23676757
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Using the Least Absolute Shrinkage and Selection Operator (lasso) model, RAB33A alone discriminated between TB disease and latent TB (area under the curve (AUC) 77.5%), whereas a combination of RAB33A, CXCL10, SEC14L1, FOXP3 and TNFRSF1A was effective in discriminating between TB disease and controls (AUC 91.7%).
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4 |
23676757
|
In conclusion, RAB33A is a potential biomarker for TB disease, whereas CD4, TGFβ-1 and IL-2, IL-13 may identify latent TB in children.
|
5 |
23676757
|
The study shows that transcription of SEC14L1, GUSB, BPI, CCR7 and TGFβ-1 (all P ≤ 0.05) was downregulated in TB disease compared with uninfected controls, while transcription of RAB33A was downregulated in TB disease compared with both latent TB (P < 0.05) and controls (P < 0.01).
|
6 |
23676757
|
The transcription of CD4, TGFβ-1 (P < 0.01) and the expression of IL-2 (P < 0.01) and IL-13 (P < 0.05) was upregulated in latent TB compared with that in controls.
|
7 |
23676757
|
Using the Least Absolute Shrinkage and Selection Operator (lasso) model, RAB33A alone discriminated between TB disease and latent TB (area under the curve (AUC) 77.5%), whereas a combination of RAB33A, CXCL10, SEC14L1, FOXP3 and TNFRSF1A was effective in discriminating between TB disease and controls (AUC 91.7%).
|
8 |
23676757
|
In conclusion, RAB33A is a potential biomarker for TB disease, whereas CD4, TGFβ-1 and IL-2, IL-13 may identify latent TB in children.
|
9 |
23676757
|
The study shows that transcription of SEC14L1, GUSB, BPI, CCR7 and TGFβ-1 (all P ≤ 0.05) was downregulated in TB disease compared with uninfected controls, while transcription of RAB33A was downregulated in TB disease compared with both latent TB (P < 0.05) and controls (P < 0.01).
|
10 |
23676757
|
The transcription of CD4, TGFβ-1 (P < 0.01) and the expression of IL-2 (P < 0.01) and IL-13 (P < 0.05) was upregulated in latent TB compared with that in controls.
|
11 |
23676757
|
Using the Least Absolute Shrinkage and Selection Operator (lasso) model, RAB33A alone discriminated between TB disease and latent TB (area under the curve (AUC) 77.5%), whereas a combination of RAB33A, CXCL10, SEC14L1, FOXP3 and TNFRSF1A was effective in discriminating between TB disease and controls (AUC 91.7%).
|
12 |
23676757
|
In conclusion, RAB33A is a potential biomarker for TB disease, whereas CD4, TGFβ-1 and IL-2, IL-13 may identify latent TB in children.
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