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	Gene summary
	Datasets with differential expression of this gene
	Expression of this gene in the resistant group across all datasets and cell types
	Significant ligand-receptor pairs related to this gene (This gene does not contain this module)
	Known drug resistance mechanisms of this gene (This gene does not contain this module)
	MicroRNAs (miRNAs) regulating this gene
	Motifs and transcription factors (TFs) regulating this gene
	Acts as a transcription factor (This gene does not contain this module)
	Acts as a drug target< (This gene does not contain this module)

Gene: DDX46

Summary for DDX46

Gene information	Gene symbol	DDX46
	Ensembl ID	ENSG00000145833
	Entrez ID	9879
	Gene name	DEAD-box helicase 46
	Synonyms	FLJ25329\|KIAA0801\|Prp5\|PRPF5
	Gene type	protein_coding
	UniProtAcc	NA

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Dataset with differentially expressed gene: DDX46

Differentially expression genes between the resistant and sensitive groups. A positive avg_log2FC represents significantly high expression in the resistant group, while a negative avg_log2FC represents significantly low expression in the resistant group.

Dataset	Source	Tissue	Cancer type level1	Cancer type level2	Drug type	Regimen	Timepoint	Cell type	avg_log2FC	p_val_adj
GSE140440	DU145 and PC cell lines	Cell line	Prostate cancer	Prostate cancer	Chemotherapy	docetaxel	NA	Malignant cells	-1.17547	2.39e-10
GSE186960	Panc1 cell line	Cell line	Pancreatic cancer	Pancreatic ductal adenocarcinoma (PDAC)	Chemotherapy	gemcitabine	NA	Malignant cells	-0.545297	0.00e+00
GSE138267	CDX	Tumor tissue	Lung cancer	Small cell lung cancer (SCLC)	Chemotherapy	NA	NA	Malignant cells	0.288337	0.00e+00
GSE163836	FCIBC02 cell line	Cell line	Breast cancer	Inflammatory breast cancer	Chemotherapy	paclitaxel	NA	Malignant cells	-0.26672	4.07e-41
GSE189460	patients	Bone marrow aspirate	Multiple myeloma	Multiple myeloma (MM)	Targeted therapy	bortezomib + melphalan + prednisolone	pre	Malignant cells	0.359528	0.00e+00
GSE139386	H3122 cell line	Cell line	Lung cancer	EML4-ALK fusion-positive non-small cell lung cancer (NSCLC)	Targeted therapy	ceritinib	NA	Malignant cells	-0.726803	0.00e+00
GSE199333	patients	Bone marrow aspirate	Acute myeloid leukemia	Primary FLT3-ITD-mutated acute myeloid leukemia (AML)	Targeted therapy	gilteritinib	post	NK cells	0.256942	1.84e-14
GSE199333	patients	Bone marrow aspirate	Acute myeloid leukemia	Primary FLT3-ITD-mutated acute myeloid leukemia (AML)	Targeted therapy	gilteritinib	post	Erythrocytes	-0.353886	0.00e+00
GSE199333	patients	Bone marrow aspirate	Acute myeloid leukemia	Primary FLT3-ITD-mutated acute myeloid leukemia (AML)	Targeted therapy	gilteritinib	pre	B cells	-0.910722	7.18e-06
GSE131984_JQ1	SUM159 cell line	Cell line	Breast cancer	Triple-negative breast cancer (TNBC)	Targeted therapy	JQ1	NA	Malignant cells	-0.312717	3.38e-23
GSE131984_JQ1Pac	SUM159 cell line	Cell line	Breast cancer	Triple-negative breast cancer (TNBC)	Targeted therapy	JQ1 + paclitaxel	NA	Malignant cells	-0.309336	1.39e-14
GSE131984_JQ1Pal	SUM159 cell line	Cell line	Breast cancer	Triple-negative breast cancer (TNBC)	Targeted therapy	JQ1 + palbociclib	NA	Malignant cells	-0.413278	1.68e-32
GSE131984_Pal	SUM159 cell line	Cell line	Breast cancer	Triple-negative breast cancer (TNBC)	Targeted therapy	palbociclib	NA	Malignant cells	-0.435118	1.00e-26
GSE175716	PDX	Tumor tissue	Liver cancer	Advanced hepatocellular carcinoma	Targeted therapy	sorafenib	NA	Malignant cells	0.253312	3.64e-02
GSE164897_VemCob	A375 cell line	Cell line	Melanoma	BRAFV600E-mutant melanoma	Targeted therapy	vemurafenib + combimetinib	NA	Malignant cells	0.593872	0.00e+00
GSE164897_VemTra	A375 cell line	Cell line	Melanoma	B+E2:E57RAFV600E-mutant melanoma	Targeted therapy	vemurafenib + trametinib	NA	Malignant cells	-0.487412	0.00e+00

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Expression of DDX46 in the resistant group across all datasets and cell types

Red dots represent significantly high expression in the resistant group, while blue dots represent significantly low expression in the resistant group. White dots represent that there is no significant difference in the expression of this gene between the resistant and sensitive groups. Blank represents that this cell type is not present in this dataset. (If the image exists, the user can click on it to enlarge it in a new window.)

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Significant ligand-receptor pairs related to DDX46

This table shows the significant ligand-receptor pairs related to this gene across all datasets, timepoints and conditions. (Complete files can be downloaded from the download section.)

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Known drug resistance mechanisms of this gene

This table shows the known drug resistance mechanisms of this gene. Clicking on this gene will link to another database that displays more drug resistance-related information.

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MicroRNAs (miRNA) regulating DDX46

This table shows the miRNAs with a score of more than 80 regulating this gene. (Complete files can be downloaded from the download section.)

Gene symbol	miRNA	Score	GeneBank accession
DDX46	hsa-miR-590-3p	99.5127	NM_001300860
DDX46	hsa-miR-3658	99.3707	NM_001300860
DDX46	hsa-miR-548c-3p	98.9676	NM_001300860
DDX46	hsa-miR-651-3p	96.7805	NM_001300860
DDX46	hsa-miR-12120	95.2148	NM_001300860
DDX46	hsa-miR-4775	94.0209	NM_014829
DDX46	hsa-miR-3117-5p	93.5868	NM_001300860
DDX46	hsa-miR-338-5p	93.4004	NM_001300860
DDX46	hsa-miR-5696	93.0169	NM_001300860
DDX46	hsa-miR-382-3p	90.842	NM_001300860
DDX46	hsa-miR-548g-3p	89.2431	NM_001300860
DDX46	hsa-miR-570-3p	89.2237	NM_001300860
DDX46	hsa-miR-1279	86.9821	NM_001300860
DDX46	hsa-miR-3682-3p	86.8907	NM_001300860
DDX46	hsa-miR-4477b	86.7066	NM_001300860
DDX46	hsa-miR-186-5p	85.4739	NM_001300860
DDX46	hsa-miR-4714-5p	84.386	NM_001300860
DDX46	hsa-miR-6800-5p	83.9613	NM_001300860
DDX46	hsa-miR-3973	83.4487	NM_001300860
DDX46	hsa-miR-6515-3p	82.7942	NM_001300860
DDX46	hsa-miR-5680	81.8003	NM_001300860
DDX46	hsa-miR-5701	81.2963	NM_001300860
DDX46	hsa-miR-548av-3p	81.2403	NM_001300860
DDX46	hsa-miR-4302	81.0512	NM_001300860
DDX46	hsa-miR-499b-3p	80.8572	NM_001300860

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Motifs and transcription factors (TFs) regulating DDX46

This table shows the Motifs and transcription factors (TFs) regulating this gene. (Complete files can be downloaded from the download section.)

Gene symbol	motif	TF_highConf
DDX46	homer__NANTGCSGCA_Zfp57	ZFP57 (directAnnotation).
DDX46	metacluster_197.3	E2F1; E2F1; E2F1; E2F1; E2F1; E2F1; E2F1; E2F1; E2F1; E2F1; E2F1; E2F1; E2F1; E2F1; E2F2; E2F2; E2F2; E2F2; E2F2; E2F3; E2F3; E2F3; E2F3; E2F3; E2F3; E2F3; E2F4; E2F4; E2F4; E2F4; E2F4; E2F4; E2F4; E2F4; E2F4; E2F4; E2F5; E2F5; E2F5; E2F5; E2F6; E2F7; E2F7; E2F7; RB1; TFDP1; TFDP1; TFDP1; TFDP1; TFDP1; TFDP1; TFDP1; TFDP2; TFDP2 (directAnnotation).

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Acts as a transcription factor

This table shows that this differential gene acts as a transcription factor.

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Acts as a drug target

This table shows that this differential gene acts as a drug target.

1	"Sun X, Zhang Y, Li H, Zhou Y, Shi S, Chen Z, He X, Zhang H, Li F, Yin J, Mou M, Wang Y, Qiu Y, Zhu F. DRESIS: the first comprehensive landscape of drug resistance information. Nucleic Acids Res. 2023 Jan 6;51(D1):D1263-D1275. doi: 10.1093/nar/gkac812. PMID: 36243960; PMCID: PMC9825618."
2	"Wishart DS, Feunang YD, Guo AC, Lo EJ, Marcu A, Grant JR, Sajed T, Johnson D, Li C, Sayeeda Z, Assempour N, Iynkkaran I, Liu Y, Maciejewski A, Gale N, Wilson A, Chin L, Cummings R, Le D, Pon A, Knox C, Wilson M. DrugBank 5.0: a major update to the DrugBank database for 2018. Nucleic Acids Res. 2018 Jan 4;46(D1):D1074-D1082. doi: 10.1093/nar/gkx1037. PMID: 29126136; PMCID: PMC5753335."