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	Dataset summary
	Drug summary
	Umap of single cell types and conditions (resistant and sensitive)
	Comparison of cell composition between the resistant and sensitive groups (This dataset does not contain this module)
	Comparison of intra-tumor heterogeneity (ITH) and epithelial-mesenchymal transition (EMT) scores of malignant cells between the resistant and sensitive groups
	Difference of cell-cell interactions between the resistant and sensitive groups
	Differentially expressed genes (DEGs) between the resistant and sensitive groups for each cell type
	Mechanism analysis of drug resistance-related DEGs for each cell type in the pre-treatment samples (This dataset does not contain this module)
	Mechanism analysis of drug resistance-related DEGs for each cell type in the post-treatment samples (This dataset does not contain this module)
	Mechanism analysis of drug resistance-related DEGs for each cell type in one patient or cell lines
	MicroRNAs (miRNAs) regulating drug resistance-related DEGs for Malignant cells
	Motifs and transcription factors (TFs) regulating drug resistance-related DEGs for each cell type
•	Differentially expressed genes act as transcription factors

Dataset: GSE164551

Dataset summary for GSE164551

Datast information	Dataset	GSE164551
	PMID	33558511
	Raw data ID/link	https://doi.org/10.7910/DVN/1RKYQ8
	Organism	Homo sapiens
	Source	patients
	Tissue	Bone marrow aspirate
	Cancer type level1	Multiple myeloma
	Cancer type level2	Refractory multiple myeloma (MM)
	Regimen	CAR-T
	Drug type	Immunotherapy
	Sample size	resistant 1, sensitive 1
	Cell number	7736
	Extract protocol	10x genomics
	Data processing	CellRanger 3.1.0
	Public date	Public on Jan 11, 2021
	Description	This dataset has 1 patient with a sensitive pre-treatment sample and a resistant post-treatment sample.

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Drug summary for GSE164551

Drug name	DrugBank ID	Drug type	Targets name	Targets uniprot ID
"CAR-T" is not included in the drug list.

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Umap of single cell types and conditions (resistant and sensitive)

Umap of cell types and conditions (resistant and sensitive). If this dataset has both pre-treatment and post-treatment samples, the cell types were annotated together. If this dataset is a cell line dataset, the UMAP of cell clusters and the cell ratio of drug-resistant and sensitive groups within each cluster will also be shown. (If the image exists, the user can click on it to enlarge it in a new window.)

Umap of cell types

Umap of conditions

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Comparison of cell composition between the resistant and sensitive groups

In the pre-treatment samples, the cell composition of the resistant and sensitive groups were compared.
* represents significant difference. (If the image exists, the user can click on it to enlarge it in a new window.)

In the post-treatment samples, the cell composition of the resistant and sensitive groups were compared.
* represents significant difference. (If the image exists, the user can click on it to enlarge it in a new window.)

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Comparison of ITH and EMT scores of malignant cells between the resistant and sensitive groups

Comparison of ITH (intra-tumoral heterogeneity) and EMT (epithelial-mesenchymal transition) scores of malignant cells between the resistant and sensitive groups. ITH represents intratumoral heterogeneity, EMT represents epithelial mesenchymal transition, pre represents pre-treatment, post represents post-treatment, post2 represents longer post-treatment. (If the image exists, the user can click on it to enlarge it in a new window.)

Comparison of ITH scores

Comparison of EMT scores

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Difference of cell-cell interactions between the resistant and sensitive groups

In the pre-treatment samples, the difference in cell-cell interactions between the resistant and sensitive groups was compared. The numbers indicate the count of cell-cell interactions that were either higher or lower in the resistant group compared to the sensitive group. The dot plots of significant ligand-receptor pairs in the resistant group and sensitive group are subsequently displayed. (If the image exists, the user can click on it to enlarge it in a new window. Complete files can be downloaded from the download section.)

In the post-treatment samples, the difference in cell-cell interactions between the resistant and sensitive groups was compared. The numbers indicate the count of cell-cell interactions that were either higher or lower in the resistant group compared to the sensitive group. The dot plots of significant ligand-receptor pairs in the resistant group and sensitive group are subsequently displayed. (If the image exists, the user can click on it to enlarge it in a new window. Complete files can be downloaded from the download section.)

This dataset only has one patient or is a cell line dataset, the resistant sample is the post-treatment sample and the sensitive sample is the pre-treatment sample. The difference in cell-cell interactions between the resistant and sensitive groups was compared. The numbers indicate the count of cell-cell interactions that were either higher or lower in the resistant group compared to the sensitive group. The dot plots of significant ligand-receptor pairs in the resistant group and sensitive group are subsequently displayed. (If the image exists, the user can click on it to enlarge it in a new window. Complete files can be downloaded from the download section.)

resistant vs. sensitive

Dot plot of significant ligand-receptor pairs in the resistant group	Dot plot of significant ligand-receptor pairs in the sensitive group

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Differentially expressed genes (DEGs) between the resistant and sensitive groups for each cell type

In the pre-treatment samples, the differentially expressed genes (|avg_log2FC|>0.25 & p_val_adj<0.05) between the resistant and sensitive groups for each cell type.

In the post-treatment samples, the differentially expressed genes (|avg_log2FC|>0.25 & p_val_adj<0.05) between the resistant and sensitive groups for each cell type.

This dataset only has one patient or is a cell line dataset, the resistant sample is the post-treatment sample and the sensitive sample is the pre-treatment sample. The following are differentially expressed genes (|avg_log2FC|>0.25 & p_val_adj<0.05) between the resistant and sensitive groups for each cell type.

Gene symbol	Gene id	avg_log2FC	p_val	p_val_adj	pct.1	pct.2	Cell type	Timepoint
ADH5	ENSG00000197894	0.330585	8.09e-14	1.27e-09	0.326	0.089	CD8+ T cells	NA
RPL29	ENSG00000162244	0.328395	1.49e-08	2.35e-04	0.986	0.98	CD8+ T cells	NA
COX7A2	ENSG00000112695	0.326882	4.18e-08	6.59e-04	0.587	0.333	CD8+ T cells	NA
PPDPF	ENSG00000125534	0.326568	4.07e-07	6.42e-03	0.522	0.31	CD8+ T cells	NA
RPL24	ENSG00000114391	0.325562	6.57e-09	1.04e-04	0.989	0.936	CD8+ T cells	NA
SSBP1	ENSG00000262771	0.3248	1.38e-10	2.18e-06	0.428	0.183	CD8+ T cells	NA
ANKRD12	ENSG00000101745	0.32301	2.34e-07	3.68e-03	0.786	0.567	CD8+ T cells	NA
FAU	ENSG00000149806	0.321062	8.96e-10	1.41e-05	0.996	0.99	CD8+ T cells	NA
NDUFA1	ENSG00000125356	0.320635	9.96e-09	1.57e-04	0.525	0.28	CD8+ T cells	NA
RPL13A	ENSG00000142541	0.317151	6.47e-10	1.02e-05	0.996	0.972	CD8+ T cells	NA
VPS26A	ENSG00000122958	0.316771	6.00e-11	9.45e-07	0.322	0.109	CD8+ T cells	NA
RPS23	ENSG00000186468	0.316131	9.24e-08	1.46e-03	0.989	0.992	CD8+ T cells	NA
RAB5IF	ENSG00000101084	0.314042	6.88e-09	1.09e-04	0.406	0.191	CD8+ T cells	NA
PARK7	ENSG00000116288	0.312755	4.77e-10	7.52e-06	0.388	0.163	CD8+ T cells	NA
COPE	ENSG00000105669	0.311695	3.57e-10	5.62e-06	0.486	0.221	CD8+ T cells	NA
RAP1B	ENSG00000127314	0.311351	3.91e-07	6.16e-03	0.554	0.331	CD8+ T cells	NA
CTSC	ENSG00000109861	0.310213	1.11e-08	1.74e-04	0.319	0.135	CD8+ T cells	NA
RPL31	ENSG00000071082	0.309515	7.97e-08	1.26e-03	0.862	0.692	CD8+ T cells	NA
TOMM7	ENSG00000196683	0.308523	4.73e-07	7.45e-03	0.761	0.504	CD8+ T cells	NA
UQCRH	ENSG00000173660	0.308109	1.63e-08	2.56e-04	0.514	0.265	CD8+ T cells	NA
SSR2	ENSG00000163479	0.305847	2.33e-06	3.67e-02	0.529	0.326	CD8+ T cells	NA
RPL32	ENSG00000144713	0.304545	5.45e-08	8.60e-04	0.996	1	CD8+ T cells	NA
RPS19BP1	ENSG00000187051	0.304091	8.94e-09	1.41e-04	0.366	0.165	CD8+ T cells	NA
CNOT6L	ENSG00000138767	0.300669	3.56e-07	5.61e-03	0.562	0.323	CD8+ T cells	NA
CMIP	ENSG00000153815	0.300014	3.30e-08	5.20e-04	0.268	0.102	CD8+ T cells	NA
RPL4	ENSG00000174444	0.299028	5.15e-07	8.12e-03	0.906	0.791	CD8+ T cells	NA
NDUFA4	ENSG00000189043	0.298558	1.20e-06	1.89e-02	0.623	0.407	CD8+ T cells	NA
EIF3D	ENSG00000100353	0.298357	6.39e-09	1.01e-04	0.384	0.17	CD8+ T cells	NA
SNRPD2	ENSG00000125743	0.298215	1.36e-07	2.14e-03	0.42	0.216	CD8+ T cells	NA
C11orf58	ENSG00000110696	0.297359	2.31e-09	3.64e-05	0.435	0.196	CD8+ T cells	NA
NDUFA6	ENSG00000277365	0.295509	9.10e-08	1.43e-03	0.366	0.176	CD8+ T cells	NA
EIF3H	ENSG00000147677	0.295337	1.14e-08	1.79e-04	0.489	0.244	CD8+ T cells	NA
IL10RA	ENSG00000110324	0.295238	1.75e-08	2.76e-04	0.283	0.107	CD8+ T cells	NA
PSMB8	ENSG00000230669	0.295122	1.08e-09	1.70e-05	0.341	0.137	CD8+ T cells	NA
GOLGA7	ENSG00000147533	0.292424	8.72e-10	1.37e-05	0.254	0.079	CD8+ T cells	NA
TMSB4X	ENSG00000205542	0.292164	2.35e-08	3.70e-04	1	0.995	CD8+ T cells	NA
UXT	ENSG00000126756	0.289797	3.19e-07	5.02e-03	0.391	0.204	CD8+ T cells	NA
GUK1	ENSG00000143774	0.289633	2.11e-06	3.32e-02	0.641	0.427	CD8+ T cells	NA
KLRG1	ENSG00000139187	0.289118	1.08e-09	1.70e-05	0.272	0.094	CD8+ T cells	NA
EEF1D	ENSG00000273594	0.288229	2.17e-06	3.42e-02	0.938	0.807	CD8+ T cells	NA
DDHD1	ENSG00000100523	0.287469	1.87e-07	2.95e-03	0.366	0.173	CD8+ T cells	NA
SERBP1	ENSG00000142864	0.286694	6.77e-07	1.07e-02	0.504	0.29	CD8+ T cells	NA
SMC3	ENSG00000108055	0.286468	1.77e-10	2.79e-06	0.337	0.122	CD8+ T cells	NA
RACK1	ENSG00000204628	0.285285	2.18e-06	3.43e-02	0.931	0.865	CD8+ T cells	NA
PTPN4	ENSG00000088179	0.284617	1.58e-11	2.48e-07	0.25	0.066	CD8+ T cells	NA
PLAC8	ENSG00000145287	0.283647	2.93e-10	4.61e-06	0.254	0.074	CD8+ T cells	NA
SLC25A3	ENSG00000075415	0.281108	5.23e-07	8.25e-03	0.583	0.338	CD8+ T cells	NA
MAX	ENSG00000125952	0.280901	4.71e-09	7.43e-05	0.341	0.142	CD8+ T cells	NA
ATP5MC3	ENSG00000154518	0.280475	1.49e-07	2.35e-03	0.384	0.188	CD8+ T cells	NA
PTPRJ	ENSG00000149177	0.280164	1.26e-09	1.98e-05	0.315	0.117	CD8+ T cells	NA

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Mechanism analysis of drug resistance-related DEGs for each cell type in the pre-treatment samples

Enrichment results for 5 known drug-resistant mechanisms in malignant cells and 1 known mechanism in TME cells.The "Signature" column represents the differentially expressed genes (DEGs) used for enrichment. The "Geneset" column represents the genes included in this mechanism. The "Overlap" column represents the number of genes in the "Geneset" that are enriched in the "Signature". The "Enriched Genes" column represents the genes in the "Geneset" that are enriched in the "Signature". (If the image exists, the user can click on it to enlarge it in a new window.)

Hallmark, KEGG and GOBP enrichment results for up-regulated genes in resistant group of pre-treatment samples. Only show the top 50 pathways with fdr<0.05. If certain cell types are not displayed, it means that there are no significant pathways based on DEGs in those cell types. (If the image exists, the user can click on it to enlarge it in a new window. Complete files can be downloaded from the download section.)

Hallmark, KEGG and GOBP enrichment results for down-regulated genes in resistant group of pre-treatment samples. Only show the top 50 pathways with fdr<0.05. If certain cell types are not displayed, it means that there are no significant pathways based on DEGs in those cell types. (If the image exists, the user can click on it to enlarge it in a new window.Complete files can be downloaded from the download section.)

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Mechanism analysis of drug resistance-related DEGs for each cell type in the post-treatment samples

Enrichment results for 5 known drug resistance mechanisms in malignant cells and 1 known mechanism in TME cells.The "Signature" column represents the differentially expressed genes (DEGs) used for enrichment. The "Geneset" column represents the genes included in this mechanism. The "Overlap" column represents the number of genes in the "Geneset" that are enriched in the "Signature". The "Enriched Genes" column represents the genes in the "Geneset" that are enriched in the "Signature". (If the image exists, the user can click on it to enlarge it in a new window.)

Hallmark, KEGG and GOBP enrichment results for up-regulated genes in resistant group of post-treatment samples. Only show the top 50 pathways with fdr<0.05. If certain cell types are not displayed, it means that there are no significant pathways based on DEGs in those cell types. (If the image exists, the user can click on it to enlarge it in a new window. Complete files can be downloaded from the download section.)

Hallmark, KEGG and GOBP enrichment results for down-regulated genes in resistant group of post-treatment samples. Only show the top 50 pathways with fdr<0.05. If certain cell types are not displayed, it means that there are no significant pathways based on DEGs in those cell types. (If the image exists, the user can click on it to enlarge it in a new window. Complete files can be downloaded from the download section.)

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Mechanism analysis of drug resistance-related DEGs for each cell type in one patient or cell lines

This dataset only has one patient or is a cell line dataset, the resistant sample is the post-treatment sample and the sensitive sample is the pre-treatment sample. Enrichment results for 5 known drug resistance mechanisms in malignant cells and 1 known mechanism in TME cells are shown here.The "Signature" column represents the differentially expressed genes (DEGs) used for enrichment. The "Geneset" column represents the genes included in this mechanism. The "Overlap" column represents the number of genes in the "Geneset" that are enriched in the "Signature". The "Enriched Genes" column represents the genes in the "Geneset" that are enriched in the "Signature". (If the image exists, the user can click on it to enlarge it in a new window.)

Enrichment results for 5 known drug resistance mechanisms in malignant cells

Mechnism	Pval	FDR	Signature	Geneset	Overlap	Background	Cell type	Enriched Genes
Unusual Activation of Pro-survival Pathway	5.90e-02	2.90e-01	12	781	2	23467	Malignant cells	EGR1,CXCL8
Epigenetic Alteration of DNA, RNA or Protein	2.10e-01	5.20e-01	12	455	1	23467	Malignant cells	CXCL8
Aberration of the Drug's Therapeutic Target	1.00e+00	1.00e+00	12	90	0	23467	Malignant cells
Drug Inactivation by Structure Modification	1.00e+00	1.00e+00	12	27	0	23467	Malignant cells
Irregularity in Drug Uptake and Drug Efflux	1.00e+00	1.00e+00	12	37	0	23467	Malignant cells

Enrichment results for 1 known drug resistance mechanisms in TME cells

Mechnism	Pval	FDR	Signature	Geneset	Overlap	Background	Cell type	Enriched Genes
Regulation by the Disease Microenvironment	1.00e+00	1.00e+00	3	186	0	23467	B cells	NA
Regulation by the Disease Microenvironment	6.60e-03	6.60e-03	148	186	5	23467	CD4+ T cells	BRAF,TGFB1,SOCS3,VIM,ZEB1
Regulation by the Disease Microenvironment	1.80e-01	1.80e-01	276	186	4	23467	CD8+ T cells	NFKB1,TGFB1,CXCR4,VIM
Regulation by the Disease Microenvironment	5.10e-01	5.10e-01	467	186	4	23467	Erythrocytes	BCL2L1,MTDH,HNRNPA2B1,MALAT1
Regulation by the Disease Microenvironment	9.20e-03	9.20e-03	524	186	10	23467	Mono_Macro	BRAF,CTNNB1,TGFB1,VEGFA,ZEB2,IL1B,HNRNPA2B1,SOCS3,VIM,MALAT1
Regulation by the Disease Microenvironment	4.80e-01	4.80e-01	81	186	1	23467	NK cells	VIM

Hallmark, KEGG and GOBP enrichment results for up-regulated genes in resistant group. Only show the top 50 pathways with fdr<0.05. If certain cell types are not displayed, it means that there are no significant pathways based on DEGs in those cell types. (If the image exists, the user can click on it to enlarge it in a new window. Complete files can be downloaded from the download section.)

Up-regulated Hallmark	Up-regulated KEGG	Up-regulated GO BP

Hallmark, KEGG and GOBP enrichment results for down-regulated genes in resistant group. Only show the top 50 pathways with fdr<0.05. If certain cell types are not displayed, it means that there are no significant pathways based on DEGs in those cell types. (If the image exists, the user can click on it to enlarge it in a new window. Complete files can be downloaded from the download section.)

Down-regulated Hallmark	Down-regulated KEGG	Down-regulated GO BP

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MicroRNAs (miRNAs) regulating drug resistance-related DEGs for malignant cells

In the pre-treatment samples, the miRNAs with a score greater than 80 that regulate the top10 abs(avg_log2FC) drug resistance-related DEGs for malignant cells are shown here. If the gene does not have any miRNAs with a score greater than 80, it will not be shown. Here only the names of miRNAs with a score greater than 90 are shown, but some names will not be shown because of too many overlaps. (Complete files containing all datasets and cell types can be downloaded from the download section.)

In the post-treatment samples, the miRNAs with a score greater than 80 that regulate the top10 abs(avg_log2FC) drug resistance-related DEGs for Malignant cells are shown here. If the gene does not have any miRNAs with a score greater than 80, it will not be shown. Here only the names of miRNAs with a score greater than 90 are shown, but some names will not be shown because of too many overlaps. (Complete files containing all datasets and cell types can be downloaded from the download section.)

This dataset only has one patient or is a cell line dataset, the resistant sample is the post-treatment sample and the sensitive sample is the pre-treatment sample. The miRNAs with a score greater than 80 that regulate the top10 abs(avg_log2FC) drug resistance-related DEGs for Malignant cells are shown here. Here only the names of miRNAs with a score greater than 80 are shown, but some names will not be shown because of too many overlaps. If the gene does not have any miRNAs with a score greater than 90, it will not be shown. (Complete files containing all datasets and cell types can be downloaded from the download section.)

Regulating up-regulated DEGs in resistant group	Regulating down-regulated DEGs in resistant group
This dataset does not contain malignant cells, nor does it predict any miRNA that corresponds to the top10 DEGs.

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Motifs and transcription factors (TFs) regulating drug resistance-related DEGs for each cell type

In the pre-treatment samples, the motifs and TFs that regulate drug resistance-related DEGs for each cell type are shown here. (Complete files can be downloaded from the download section.)

In the post-treatment samples, the motifs and TFs that regulate drug resistance-related DEGs for each cell type are shown here. (Complete files can be downloaded from the download section.)

This dataset only has one patient or is a cell line dataset, the resistant sample is the post-treatment sample and the sensitive sample is the pre-treatment sample. Motifs and TFs that regulate drug resistance-related DEGs for each cell type are shown here. (Complete files can be downloaded from the download section.)

Motifs and TFs regulating up-regulated DEGs in resistant group

motif	motif	NES	AUC	TF_highConf	Cell_type
	transfac_pro__M02848	4.05	0.193	EGR1 (inferredBy_Orthology).	CD4+ T cells
	taipale_tf_pairs__ETV5_HES7_NNCACGTGNNNNCCGGAANN_CAP	4.02	0.192	ETV5; HES7 (directAnnotation).	CD4+ T cells
	transfac_pro__M07475	3.81	0.185	TBX5 (inferredBy_Orthology).	CD4+ T cells
	cisbp__M00775	3.79	0.184	ZBTB1 (inferredBy_Orthology).	CD4+ T cells
	metacluster_84.2	3.76	0.183	RARA (directAnnotation).	CD4+ T cells
	taipale_tf_pairs__E2F1_ELK1_SGCGCNNNNNNNNNNCGGAAGN_CAP_repr	3.74	0.182	E2F1; ELK1 (directAnnotation).	CD4+ T cells
	metacluster_141.5	3.71	0.181	NR3C1; THAP1; YY1; YY1; YY1; YY1; YY1; YY1; YY1; YY1; YY1; YY1; YY1; YY1; YY2; YY2; ZNF597 (directAnnotation). YY1; YY1; YY1; YY2; ZFP42 (inferredBy_Orthology).	CD4+ T cells
	jaspar__MA1650.1	3.68	0.18	ZBTB14 (directAnnotation).	CD4+ T cells
	transfac_pro__M02090	3.62	0.178	E2F4 (directAnnotation).	CD4+ T cells
	transfac_pro__M08005	3.56	0.176	TCFL5 (inferredBy_Orthology).	CD4+ T cells

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Motifs and TFs regulating down-regulated DEGs in resistant group

motif	motif	NES	AUC	TF_highConf	Cell_type
	transfac_pro__M01252	7.71	0.61	E2F6 (directAnnotation).	B cells
	tfdimers__MD00310	7.02	0.558	IKZF1; OTX1; OTX2 (directAnnotation).	B cells
	metacluster_76.1	6.65	0.53	ZNF345; ZNF345 (directAnnotation). MYB; MYBL1 (inferredBy_Orthology).	B cells
	metacluster_156.2	6.56	0.523	ATF3; ATF4; ATF4; ATF4; ATF4; ATF4; ATF4; CEBPG; CEBPG; DDIT3; MYC (directAnnotation). ATF4; ATF4; ATF4; CEBPG; DDIT3 (inferredBy_Orthology).	B cells
	transfac_pro__M05531	6.5	0.518	IKZF5 (inferredBy_Orthology).	B cells
	tfdimers__MD00103	6.44	0.514	ZNF333 (directAnnotation).	B cells
	cisbp__M00838	6.02	0.482	FOXP1 (directAnnotation).	B cells
	metacluster_130.1	5.99	0.48	ZNF713; ZNF713 (directAnnotation). HSF1; HSF2; HSF4; HSF5; HSFX1; HSFX2; HSFX3; HSFX4; HSFY1; HSFY2 (inferredBy_Orthology).	B cells
	metacluster_139.9	5.89	0.473	TFE3 (inferredBy_Orthology).	B cells
	tfdimers__MD00298	5.88	0.471	CEBPA; CEBPB; CEBPD; CEBPE; CEBPG; FOXL1 (directAnnotation).	B cells

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Differentially expressed genes act as transcription factors

This table shows the differentially expressed genes that act as transcription factors. (Complete files can be downloaded from the download section.)

TF	motif	Expression	Cell type	Timepoint
ZEB1	tfdimers__MD00527	up	CD4+ T cells	NA
MECP2	metacluster_135.10	up	CD8+ T cells	NA
E2F4	metacluster_45.6	down	Erythrocytes	NA
KLF13	hocomoco__KLF13_HUMAN.H11MO.0.D	down	Erythrocytes	NA
YBX1	metacluster_79.33	down	Erythrocytes	NA
BACH1	metacluster_22.37	up	Mono/Macro	NA
BACH1	metacluster_157.2	up	Mono/Macro	NA
BACH1	metacluster_30.4	up	Mono/Macro	NA
EGR1	cisbp__M01864	up	Mono/Macro	NA
EGR1	metacluster_131.7	up	Mono/Macro	NA

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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."