Literature DB >> 31119048

p53 mutation regulates PKD genes and results in co-occurrence of PKD and tumorigenesis.

Haili Li1,2, Yongjin Zhang2, Juhua Dan2, Ruoyu Zhou2, Cui Li2, Rong Li3, Xiaoming Wu2, Sanjay Kumar Singh4, Jeffrey T Chang5, Julun Yang6, Ying Luo1,2.   

Abstract

OBJECTIVE: Polycystic kidney disease (PKD) is the major cause of kidney failure and mortality in humans. It has always been suspected that the development of cystic kidney disease shares features with tumorigenesis, although the evidence is unclear.
METHODS: We crossed p53 mutant mice (p53N236S, p53S) with Werner syndrome mice and analyzed the pathological phenotypes. The RNA-seq, ssGSEA analysis, and real-time PCR were performed to dissect the gene signatures involved in the development of disease phenotypes.
RESULTS: We found enlarged kidneys with fluid-filled cysts in offspring mice with a genotype of G3mTerc -/- WRN -/- p53 S/S (G3TM). Pathology analysis confirmed the occurrence of PKD, and it was highly correlated with the incidence of tumorigenesis. RNA-seq data revealed the gene signatures involved in PKD development, and demonstrated that PKD and tumorigenesis shared common pathways, including complement pathways, lipid metabolism, mitochondria energy homeostasis and others. Interestingly, this G3TM PKD and the classical PKD1/2 deficient PKD shared common pathways, possibly because the mutant p53S could regulate the expression levels of PKD1/2, Pkhd1, and Hnf1b.
CONCLUSIONS: We established a dual mouse model for PKD and tumorigenesis derived from abnormal cellular proliferation and telomere dysfunction. The innovative point of our study is to report PKD occurring in conjunction with tumorigenesis. The gene signatures revealed might shed new light on the pathogenesis of PKD, and provide new molecular biomarkers for clinical diagnosis and prognosis.

Entities:  

Keywords:  p53 mutation; polycystic kidney disease; telomere dysfunction; tumorigenesis

Year:  2019        PMID: 31119048      PMCID: PMC6528458          DOI: 10.20892/j.issn.2095-3941.2018.0170

Source DB:  PubMed          Journal:  Cancer Biol Med        ISSN: 2095-3941            Impact factor:   4.248


Introduction

Polycystic kidney disease (PKD) is a disease where enlarged kidneys develop characteristic fluid-filled cysts. Cysts in the liver or pancreas, cerebral aneurysms, abnormal cardiac development, and hypertension are also frequently found in PKD patients. Genetic studies have shown that approximately 80% of autosomal dominant PKD (ADPKD) is caused by mutations in the PKD1 gene (encoding polycystin-1, PC1), and about 20% of ADPKD was due to mutations in PKD2 gene (encoding polycystin-2, PC2). It has been extensively shown that PC1/2 act as the key regulators for calcium homeostasis, and the dysfunction of PC1/2 might play an essential role in calcium imbalance and cAMP signaling, resulting in the development of PKD phenotypes[1,2]. Increasing evidence suggests that PC1/2 proteins might interact with key regulators in cell cycle regulation, especially in cell proliferation and secretion-related signaling pathways[1]. PKD1 has been found to play a role in preventing immortalized proliferation of renal cells through p53 and JNK, suggesting a novel link between PKD1 and p53[3]. It has also been found that the tumor suppressor protein p53 participates in a negative feedback loop to regulate PKD1 gene expression, thus preventing renal cysts formation[4]. Interestingly, another study has shown that Mekk1 acts as a co-repressor with p53 to downregulate PKD1 transcription. This PKD1 repression could be promoted by stress stimuli, suggesting that abnormally elevated stress responses might directly downregulate the PKD1 gene, possibly causing haploinsufficiency and cyst formation[5]. In an endothelial cell-culture system, elevated expression of mechanosensory polycystins in human carotid atherosclerotic plaques is associated with p53 activation and disease severity[6]. At the animal level, Bcl2 knockout mice manifested PKD and PKD phenotypes that could not have been rescued by p53 deficiency[7,8]. The mutant p53 protein, especially the missense point mutation, is the major form of p53 deficiency in human disease. It promotes the progress of disease by both loss and gain of function[9]. However, no evidence has been found to connect mutant p53 with the progress of PKD. Werner syndrome (WS) protein is a member of the RecQ helicase family implicated in the maintenance of genome stability. WRN plays an essential role in telomere DNA replication, and WRN defects cause human pathologies linked to cancer predisposition and premature aging, such as WS[10-12]. By masking the chromosome ends from the DNA repair machinery through repression of the ATM/ATR signaling pathways, telomere DNA has a crucial function in DNA damage response (DDR). Telomere DNA is elongated by telomerase and protected by the protein complex shelterin, which regulates telomere length and protects telomeres from activating DDR[13]. The mouse model of WS is established by double knockout of WRN and the RNA component of telomerase. The late generation (G4-6) of WS mice with both telomerase and WRN deficiency (mTR-/-WRN-/-) exhibited the clinical features observed in WS patients[14-16]. Our previous study has shown that ALT tumorigenic cell lines derived from senescent WS MEFs gained the same point mutation in tumor suppressor gene Trp53, encoding a mutant p53 protein known as p53N236S (p53S hereafter). The p53S/S mice manifested highly invasive lymphomas and metastatic sarcomas with dramatically increased double minute chromosomes[17]. We introduced this p53S mutation back into WS mice to study the intrinsic role of p53S in modulating WS symptoms, by crossing mice carrying p53S mutation with WS mice. Surprisingly, we found that the offspring of p53S and WS mice (mTR-/-WRN-/-p53) manifested both PKD and tumor phenotypes. Here we report the phenotypes of this novel mouse model. By RNA-seq and ssGSEA analysis, we have identified the gene signatures and pathways that connect mutant p53 and telomere dysfunction with the development of PKD.

Materials and methods

Mice

Transgenic p53S mice and WS (mTR-/-WRN-/-) mice were bred to generate mTR-/-WRN-/-p53 mice. We crossed mice carrying p53S mutation (p53) with WS mice (mTR-/-WRN-/-) and obtained the first generation of mice with telomerase knockout, WRN knockout, and p53S mutation (G1 mTR-/-WRN-/-p53), referred to as G1 triple mutation (G1TM). The mice were then bred generation-by-generation to obtain G2 and G3 TM mice. The telomerase knockout and WRN knockout mice (double mutation, DM) and wild type (WT) mice were used as control. All experiments were carried out with the approval of the Kunming University of Science and Technology and Use Committee (Approval ID: M2015-011) in accordance with the guidelines of the Association for Assessment and Accreditation of Laboratory Animal Care.

MEF cells

The MEF cells with different genotypes were harvested in 13.5 days and cultured in Dulbecco’s modified Eagle’s medium (DMEM) with 10% fetal bovine serum (FBS) at 37 °C with 5% CO2 and 3% O2. To maintain their original characteristics, only the early passages (≤ passage 5) of MEF cells were used for experiments.

Pathology analysis

Mouse kidney samples were fixed in 4% neutral buffered formalin for 6 hours, then alcohol-dehydrated and paraffin-embedded. The paraffin-embedded tissue blocks were sectioned into 4 μm slices for later experiments. For hematoxylin-eosin (HE) staining, the tissue sections were deparaffinized and rehydrated, and H&E staining was applied. The H&E stained slides were observed via microscopy and the histological changes and kidney lesions were evaluated by pathologists.

RNA-seq and gene expression signature analysis

Cell or tissue (sarcoma and cystic kidney) samples were collected and sent for commercia RNA-seq service (Novogene, China). Briefly, the total RNA was extracted and enriched by oligo-dT labeled magnetic beads, and used to construct a library for RNA-seq. The sequenced reads (raw reads) were evaluated for quality control. The adapters and low quality reads were filtered to obtain clean reads. The clean data were then aligned with the reference mouse genome by TopHat2. The RNA-seq counts were annotated and the FPKM file was generated for bioinformatic analysis. The Bioinformatics ExperT SYstem (BETSY) was applied to automate the development of workflows[18]. The single sample gene set enrichment analysis (ssGSEA)[19]was applied to analyze the RNA-seq data. Hallmark (designed for well-defined biological states and processes), C2 (BIOCARTA, KEGG, REACTOME, etc.), and C5 (GO) gene sets from the Molecular Signatures Database[20]were used for ssGSEA analysis. The heat maps were plotted with BETSY by centering with mean but without hierarchical clustering. The common pathways between cystic kidneys and tumors were ranked and plotted based on their ssGSEA scores.

Ingenuity pathway analysis

The essential genes involved in PKD development were selected according to the literature[1,21]. The fold change in their expression between G3TM and G3DM was calculated from RNA-seq data. After applying the cutoff (2 ×) for gene expression fold change, the remaining genes and their fold changes, and P values were imported to Ingenuity Pathway Analysis (IPA) software. The knowledge base of IPA were used to draw their expression regulation and interaction network. The network with largest numbers of genes is included, such as developmental disorders, immunological diseases, inflammatory diseases, inflammatory response, and renal and urological disease.

Quantitative real-time PCR analysis

RNA was isolated from cell or tissue samples, and cDNA was synthesized by reverse transcription. Real-time PCR was performed on an ABI Prism 7300 sequence detection system with SYBR-Green PCR master mix according to the manufacturer’s instructions (Applied Biosystems, CA). The primers used are as follows: PKD1, forward primer: 5’-CCCTCTCGGAGCAGAATCAAT-3’, reverse primer: 5’-GTGTTGAGCTAATGGGCAGG-3’; PKD2, forward primer: 5’-GGGGAACAAGACTCATGGAAG-3’, reverse primer: 5’-GCCGTAGGTCAAGATGCACAA-3’; Pkhd1, forward primer:5’-GGGAGGTCGATGGTGCATAAG-3’, reverse primer: 5’-GATGTCCGTTCTTCCCCCAAG-3’; Hnf1b, forward primer: 5’-AGGGAGGTGGTCGATGTCA-3’, reverse primer: 5’-TCTGGACTGTCTGGTTGAACT-3’; C2, forward primer: 5’-CGGTGGTAATTTCACCCTCAG-3’, reverse primer: 5’-GGTGTGATGTGAGCTAGACCT-3’; C5, forward primer: 5’-GAACAAACCTACGTCATTTCAGC-3’, reverse primer 5’-GTCAACAGTGCCGCGTTTT-3’; Pgc1a, forward primer: 5’-TATGGAGTGACATAGAGTGTGCT-3’, reverse primer: 5’-CCACTTCAATCCACCCAGAAAG-3’; Tfam, forward primer: 5’-ATTCCGAAGTGTTTTTCCAGCA-3’, reverse primer: 5’-TCTGAAAGTTTTGCATCTGGGT-3’; Wnt1, forward primer: 5’-GGTTTCTACTACGTTGCTACTGG-3’, reverse primer: 5’-GGAATCCGTCAACAGGTTCGT-3’; Ctnnb1, forward primer: 5’-ATGGAGCCGGACAGAAAAGC-3’, reverse primer: 5’-CTTGCCACTCAGGGAAGGA-3’; Srebf1, forward primer: 5’-GATGTGCGAACTGGACACAG-3’, reverse primer: 5’-CATAGGGGGCGTCAAACAG-3’; Srebf2, forward primer: 5’-GCAGCAACGGGACCATTCT-3’, reverse primer: 5’-CCCCATGACTAAGTCCTTCAACT-3’; β-actin, forward primer: 5’-AGAGGGAAATCGTGCGTGAC-3’, reverse primer: 5’-CAATAGTGATGACCTGGCCGT-3’.

Results

Generation of a mouse model manifesting PKD phenotypes

We crossed mice carrying p53S mutation with WS mice and obtained the first generation of mice with telomerase, WRN knockout, and p53S mutations (G1mTR-/-WRN-/-p53), referred to as G1 triple mutation (G1TM). The mice were then bred generation-by-generation to obtain G2 and G3 TM mice ( and ). Generation of a mouse model manifesting PKD. As expected, we observed the incidence of sarcomas when telomere length was shortened to a certain level, which occurred in G3TM (G3mTR-/-WRN-/-p53) mice (). The affected mice were sacrificed and anatomical analysis showed that the mice also manifested unilateral or bilateral enlarged kidneys with multiple fluid-filled cysts (). Thus, surprisingly, PKD phenotypes were found in G3TM mice at around 4 months old. The H&E of the kidney sections showed that the kidneys from wild type mice developed normal renal tubules and glomeruli (), while the kidneys from G3TM mice displayed a range of phenotypes associated with renal dysplasia and renal cyst formation. In the G3TM mouse EH85, the normal histological structure of the right kidney was completely replaced by fluid-filled cysts of various sizes (). At higher magnification, we could observe that the renal tubules and glomeruli were compressed and atrophied, and the glomerulus lost its capillary loop structure completely (). These data show the severe fluid-filled cyst formation and total loss of renal function in this kidney. In the kidney from G3TM mouse EJ08, cellular swelling or hydropic degeneration and vacuolation were observed (), suggesting the dysfunction of ion and water regulation in these renal cells. In the kidneys from G3TM mouse EM06, the cyst is surrounded by flat epithelial cells, which suggests that cellular morphological changes are caused by fluid pressure from the cyst (). In the kidney from G3TM mouse CS87, we found the abnormal glomerulus with poorly defined capillary loop (). The abnormal glomerulus with semi-enclosed capillary loop was also frequently observed, indicating the loss of glomerulus function and downregulation of blood filtering function. Hematoxylin and eosin staining of kidney sections from mice with PKD phenotype. Together these data suggest that kidneys from G3mTR-/-WRN-/-p53 mice were hypoplastic and developed PKD phenotypes.

The correlation of tumorigenesis and PKD phenotypes

As described earlier, the G3TM mice should manifest phenotypes that correlate with abnormal DNA damage response and abnormal proliferation. In our case, it manifested as increased tumorigenesis and PKD formation. To further understand the relationship between abnormal DNA damage response, tumorigenesis, and PKD phenotypes, we analyzed the frequencies and co-occurrence of cystic kidney and tumorigenesis in mice groups with different genotypes. We did not find any tumorigenesis or PKD in those mice with WRN and telomerase double knockout, including G1DM mice (n=41), G2DM mice (n=52), and G3DM (n=63). However, we observed a few PKD or tumor incidences in G1TM and G2TM mice; this number increased dramatically in G3TM mice (, ). The incidence increased along with telomere shortening (G1-G2-G3) and the introduction of p53S (TM vs. DM). These data strongly suggest that interplay of telomere DNA damage and p53S mutation contributed to the development of PKD. Furthermore, most PKD co-occurred with tumor phenotypes (, ), showing that the occurrence of PKD phenotype was highly correlated with increased tumorigenesis. The occurrence of cystic kidney and/or tumor in mice with different genotypes Co-occurrence of tumorigenesis with PKD and gene signature analysis.

Gene signatures of PKD caused by telomere dysfunction and p53S mutation

Since the genetic defect in this PKD model is very different from classical PKD models with polycystins defects, we were interested in investigating the gene signatures in MEFs (G3TM), cystic kidneys, and tumors from G3TM. We compared the gene expression profiles in MEFs from G1DM to G3TM mice using RNA-seq and ssGSEA analysis, as well as the tumors and cystic kidneys from G3TM mice. First, we analyzed the gene signatures that were upregulated or downregulated in cystic kidneys using the Hallmark dataset. We found that the metabolism-related pathways, particularly lipid metabolism, were strikingly upregulated in cystic kidneys. These included bile acid metabolism, fatty acid metabolism and others (). Cell cycle-related pathways were clearly downregulated, such as mitotic spindle, G2M checkpoint, and E2F targets. (). These data suggest that abnormal metabolic regulation contributed greatly to PKD progress in G3TM mice. Interestingly, the pathways such as oxidative phosphorylation, complement, and interferon alpha gamma were upregulated in both cystic kidneys and tumors (). These common regulated pathways suggest that the development of cystic kidney shares common mechanisms with tumorigenesis. We then expanded the ssGSEA analysis by combining the Hallmark, C2, and C5 datasets[20], and mapping the gene signatures that were gradually upregulated or downregulated in G3TM cells, tumors, and cystic kidneys ( and ). The data revealed that most strikingly upregulated pathways shared by tumors and cystic kidneys included complement pathways, the immune response, lipid metabolism, and mitochondrial energy homeostasis. Interestingly, we observed that kidney function-related pathways, such as microvillus organization and water homeostasis, were upregulated in both tumors and kidneys. The data also show that organic cation transport and glucuronidation pathways were highly upregulated in cystic kidneys (). A heatmap of gene expression profiles (ssGSEA analysis results of the RNA-seq data using Hallmark, C2, and C5 datasets) in MEFs from G1DM, G2DM, G3DM, G1TM, G2TM, and G3TM mice, as well as the tumors and cystic kidneys from G3TM mice. The pathways were ranked by scores, showing upregulation in cystic kidney, as well as in the tumor and G3TM MEFs. On the other hand, the pathways obviously downregulated in tumor and kidneys included cytoskeleton regulation, extracellular signal transduction and others (). Together, regulation of these pathways revealed that G3TM PKD shares common mechanisms with tumorigenesis. These dysfunctions of gene regulation composed the gene signatures of G3TM PKD.

Comparison of gene signatures in PKD caused by telomere dysfunction and p53S mutation with classical PKD caused by PKD1 or PKD2 deficiency

After analyzing the gene signatures in the G3TM PKD model (G3mTR-/-WRN-/-p53), we compared the gene signatures in this model with classic PKD models with PKD1 or PKD2 deficiency. We analyzed RNA-seq data of the classic PKD models with PKD1 or PKD2 deficiency[22] by the same ssGSEA analysis, and compared gene signatures between the three mouse models. The data, analyzed by the Hallmark dataset, showed that the common upregulated pathways among these three PKD models included complement, coagulation, and apical surface, whereas the common downregulated pathways included angiogenesis (). The common pathways shared by G3TM PKD and Pkd1/2-deficient PKD revealed by ssGSEA analysis results of the RNA-seq data using the Hallmark dataset The expanded analysis with Hallmark, C2, and C5 datasets revealed that common upregulated pathways included complement activation, bile acid metabolism, and ion homeostasis. The common downregulated pathways included cell-to-cell adhesion signaling and epithelial structural maintenance (). The common pathways shared by G3TM PKD and Pkd1/2-deficient PKD revealed by ssGSEA analysis results of the RNA-seq data using Hallmark, C2, and C5 dataset Together these data reveal that although the G3TM PKD model was derived from different genetic aberrations to classical PKD models, they share common pathways in regulating complement activation, lipid metabolism, cell-to-cell adhesion signaling etc. These pathways might play an essential role in PKD development. Furthermore, we found that from G1DM to G3TM, along with the introduction of p53S mutation and telomere shortening, the expression levels of PKD1 and PKD2 decreased significantly (), suggesting that p53S mutation could downregulate PKD1 and PKD2 expression. In the end-stage tumor and cystic kidney tissues, the PKD2 level was slightly upregulated, but was still lower than the level in G3DM (). Since G3TM is the genotype with most incidences of tumor and cystic kidney disease, but not G3DM, comparison of gene regulation in G3TM with G3DM might provide the mechanisms for PKD attributed to p53S. We evaluated the genes essential for classical PKD development[1,21], and mapped their interaction networks with IPA (). Based on expression fold-changes of genes in this interaction network, the molecule activity predictor showed that cystic kidney module was significantly activated (P-value: 3.31E-11). Other than PKD1 and PKD2, the ARPKD protein Pkhd1 (polyductin) and its transcriptional factor Hnf1b (hepatocyte nuclear factor 1 homeobox B)[23] were also downregulated. These data suggest that p53S plays a role in transcriptional regulation of PKD-related genes. To validate the key genes in altered pathways as revealed by RNA-seq data, we further analyzed the regulation of genes involved in the PKD pathway, complement pathway, mitochondria pathway, Wnt signaling pathway, and lipid metabolism pathway by quantitative real-time PCR. Compared with WT and G3DM MEFs, the expression of PKD genes PKD1, PKD2, Pkhd1, and Hnf1b was suppressed in G3TM MEFs. However, complement pathway genes C2 and C5; mitochondria pathway genes Pgc1a and Tfam; Wnt signaling pathway genes Wnt1 and Ctnnb1; and lipid metabolism pathway genes Srebf1 and Srebf2 were upregulated in G3TM MEFs (). These data further confirmed the RNA-seq data, and suggest that p53S regulates genes involved in the aforementioned pathways attributed to the development of cystic kidney.

Discussion

It has always been suspected that the development of cystic kidney disease shares features with tumorigenesis, although the evidence is unclear[24,25]. Recent understanding of aberrant downstream pathways in ADPKD demonstrates that transcriptional functions that regulate cell cycle progression, energy metabolism, and secretion-related signaling are abnormal in PKD[1], and p53 is the essential node in all these transcriptional regulations[26]. It has always been documented that wild type p53 could bind to the PKD1 promoter, and the kidneys of p53 null mice expressed higher PKD1 mRNA levels than wild-type littermates, suggesting that wild type p53 suppressed the expression of PKD1[4]. It has also been shown that depletion of PKD1 led to increased cell proliferation and caused a premature G1/S transition, and the elevated expression of mechanosensory polycystins in human carotid atherosclerotic plaques was associated with p53 activation[6,27]. Thus, it is conceivable that mutant p53, which loses the wild type function of p53 and gains oncogenic function, plays an important role in the development of PKD. Here we revealed a novel PKD and tumor combined mouse model (PKD derived from G3mTR-/-WRN-/-p53 mice) ( and ). The co-occurrence of cystic kidneys and tumors suggests common genetic mechanisms, which in this case could be DNA damage caused by telomere dysfunction and the abnormal DNA damage response, cellular proliferation, or metabolic dysregulation caused by p53N236S mutation. This model provides direct evidence to connect mutant p53 DNA damage response with PKD development. The fact that the incidences of cystic kidneys increased along with telomere shortening suggests that DNA damage triggered the development of PKD. To dissect the common genetic causes of PKD and tumorigenesis, we identified the upregulated pathways in tumors and cystic kidneys. Among the common pathways in cystic kidneys and tumors, the pathways of activation of complement, inflammatory response, and mitochondrial function were most significantly upregulated ( and , ). It has been documented that activation of the alternative complement pathway and the consequent inflammatory response plays an essential role in the progress of kidney diseases, such as atypical hemolytic uremic syndrome, C3 glomerulopathies, and atypical post infectious GN, as well as ADPKD[28,29]. These data suggest the importance of complement cascade in the regulation of inflammatory response of both cystic kidney disease and tumors. Mitochondrial function is essential in energy metabolism, oxygen consumption, ROS regulation, and ATP synthesis. Aside from kidney disease, mitochondrial dysfunction is also related to the processes of aging and tumor development [30,31]. By ssGSEA analysis, we found that the pathways involved in mitochondrial function and related fatty acid metabolisms are highly activated in tumors and cystic kidneys from G3TM mice; however, they are not significantly up-regulated in PKD1- or PKD2-deficient PKD[22](, ). It is very promising that we found that PKD1, PKD2, Pkhd1, and Hnf1b were all downregulated by the introduction of p53S (). It has been documented that Hnf1b is the transcription factor for both Pkhd1 and PKD2. Mutation of Hnf1b results in kidney phenotypes that include renal agenesis, dysplasia, and cysts[32]. These phenotypes are consistent with our pathological analysis (). Putting these data together, we report a novel PKD and tumor combined mouse model, and reveal the gene signatures involved in the development of PKD. The G3TM PKD model shared common pathways with classical PKD. These common pathways might be essential in PKD progress, and thus could be common targets for PKD prevention, drug screening, and patient care strategies. In depth analyses of these pathways could provide new biomarkers for the clinical diagnosis and prognosis of PKD (). A schematic of the establishment of G3TM PKD model, and the gene signatures shared between development of PKD and tumorigenesis, and with PKD1/2 PKD model.

Acknowledgements

This work was supported by National Natural Science Foundation of China (NSFC) (Grant No. 30771194 and 31170735). We thank Dr. Sandy Chang from Yale University and Dr. Ronald A Depinho from The University of Texas MD Anderson Cancer Center for kindly providing WS mice.

Conflict of interest statement

No potential conflicts of interest are disclosed. A heatmap of gene expression profiles (ssGSEA analysis results of the RNA-seq data using Hallmark, C2, and C5 datasets) in MEFs from G1DM, G2DM, G3DM, G1TM, G2TM, and G3TM mice, as well as tumors and cystic kidneys from G3TM mice. The pathways were ranked by scores showing the downregulation in the cystic kidney, as well as in tumor and in G3TM MEFs.
1

The occurrence of cystic kidney and/or tumor in mice with different genotypes

Number of miceG1DMG1 TMG2 DMG2 TMG3 DMG3 TM
Cystic kidney010204
Tumor0509023
Cystic kidney+ tumor0509023
Total412152396343
S1

The common pathways shared by G3TM PKD and Pkd1/2-deficient PKD revealed by ssGSEA analysis results of the RNA-seq data using the Hallmark dataset

Up-regulated in G3TM PKDDown-regulated in G3TM PKD
Up-regulated in Pkd1 deficient PKD Up-regulated in Pkd2 deficient PKD Down-regulated in Pkd1 deficient PKD Down-reulated in Pkd2 deficient PKD
HALLMARK_APICAL_SURFACEHALLMARK_ANDROGEN_RESPONSEHALLMARK_ANGIOGENESISHALLMARK_ANGIOGENESIS
HALLMARK_COAGULATIONHALLMARK_APICAL_SURFACEHALLMARK_GLYCOLYSISHALLMARK_ SPERMATOGENESIS
HALLMARK_COMPLEMENTHALLMARK_ CHOLESTEROL_HOMEOSTASIS HALLMARK_MITOTIC_SPINDLE
HALLMARK_ ESTROGEN_RESPONSE_LATE HALLMARK_COAGULATIONHALLMARK_MYOGENESIS
HALLMARK_ KRAS_SIGNALING_DN HALLMARK_COMPLEMENTHALLMARK_PI3K_AKT_ MTOR_SIGNALING
HALLMARK_ ESTROGEN_RESPONSE_EARLY HALLMARK_UV_RESPONSE_DN
HALLMARK_ ESTROGEN_RESPONSE_LATE
HALLMARK_ INTERFERON_ALPHA_RESPONSE
HALLMARK_ INTERFERON_GAMMA_RESPONSE
HALLMARK_ PANCREAS_BETA_CELLS
HALLMARK_ PROTEIN_SECRETION
S2

The common pathways shared by G3TM PKD and Pkd1/2-deficient PKD revealed by ssGSEA analysis results of the RNA-seq data using Hallmark, C2, and C5 dataset

Up-regulated in G3TM PKDDown-regulated in G3TM PKD
Up-regulated in Pkd1 deficient PKD Up-regulated in Pkd2 deficient PKD Down-regulated in Pkd1 deficient PKD Down-regulated in Pkd2 deficient PKD
AIGNER_ZEB1_TARGETSAIGNER_ZEB1_TARGETSAMIT_SERUM_ RESPONSE_240_MCF10A BECKER_TAMOXIFEN_ RESISTANCE_UP
BANDRES_RESPONSE_TO_ CARMUSTIN_WITHOUT_ MGMT_24HR_UP BIOCARTA_COMP_PATHWAYBARIS_THYROID_CANCER_DNBIOCARTA_ CELL2CELL_PATHWAY
BIOCARTA_COMP_PATHWAYBROWNE_HCMV_ INFECTION_48HR_UP BECKER_TAMOXIFEN_ RESISTANCE_UP BIOCARTA_GCR_PATHWAY
DACOSTA_UV_RESPONSE_ VIA_ERCC3_COMMON_UP DACOSTA_UV_RESPONSE_ VIA_ERCC3_COMMON_UP BIOCARTA_ ELL2CELL_PATHWAY BIOCARTA_NO2IL12_PATHWAY
DURCHDEWALD_SKIN_ CARCINOGENESIS_UP DURCHDEWALD_SKIN_ CARCINOGENESIS_UP BIOCARTA_IL2RB_PATHWAYBIOCARTA_ P53HYPOXIA_PATHWAY
FIGUEROA_AML_METHYLATION_CLUSTER_4_UPENGELMANN_CANCER_ PROGENITORS_DN BIOCARTA_SODD_PATHWAYBIOCARTA_TALL1_PATHWAY
FURUKAWA_DUSP6_ TARGETS_PCI35_UP FIGUEROA_AML_ METHYLATION_CLUSTER_4_UP BOWIE_RESPONSE_ TO_EXTRACELLULAR_MATRIX BROWNE_INTERFERON_ RESPONSIVE_GENES
GO__DE_NOVO_ POSTTRANSLATIONAL_ PROTEIN_FOLDING FURUKAWA_DUSP6_ TARGETS_PCI35_UP BROWNE_INTERFERON_ RESPONSIVE_GENES CHAN_INTERFERON_ PRODUCING_DENDRITIC_CELL
GO__DE_NOVO_ PROTEIN_FOLDING GO__DE_NOVO_P OSTTRANSLATIONAL_ PROTEIN_FOLDING BURTON_ADIPOGENESIS_12CHEMELLO_SOLEUS_VS_ EDL_MYOFIBERS_DN
GO_2_IRON_2_SULFUR_ CLUSTER_BINDING GO__DE_NOVO_ PROTEIN_FOLDING CHAN_INTERFERON_ PRODUCING_DENDRITIC_CELL CHIANG_LIVER_CANCER_ SUBCLASS_INTERFERON_UP
GO_AMMONIUM_ION_BINDINGGO_ACTIN_NUCLEATIONCHEMELLO_SOLEUS_VS_ EDL_MYOFIBERS_DN CLIMENT_BREAST_CANCER_ COPY_NUMBER_UP
GO_APOPTOTIC_ MITOCHONDRIAL_CHANGES GO_APOPTOTIC_ MITOCHONDRIAL_CHANGES CLIMENT_BREAST_CANCER_ COPY_NUMBER_UP DAUER_STAT3_TARGETS_DN
GO_BILE_ACID_ METABOLIC_PROCESS GO_BILE_ACID_ METABOLIC_PROCESS CROONQUIST_STROMAL_ STIMULATION_DN DOANE_BREAST_CANCER_ CLASSES_DN
GO_BRAIN_MORPHOGENESISGO_BROWN_FAT_ CELL_DIFFERENTIATION DAUER_STAT3_TARGETS_DNDUTTA_APOPTOSIS_VIA_NFKB
GO_BROWN_FAT_ CELL_DIFFERENTIATION GO_CELL_MATURATIONDORN_ADENOVIRUS_ INFECTION_32HR_UP EINAV_INTERFERON_ SIGNATURE_IN_CANCER
GO_CALCIUM_INDEPENDENT_ CELL_CELL_ADHESION_VIA_ PLASMA_MEMBRANE_CELL_ ADHESION_MOLECULES GO_CELLULAR_IRON_ION_HOMEOSTASISDORN_ADENOVIRUS_INFECTION_48HR_UPFARMER_BREAST_CANCER_CLUSTER_1
GO_CATECHOLAMINE_BINDINGGO_CHAPERONE_MEDIATED_PROTEIN_COMPLEX_ASSEMBLYDUTTA_APOPTOSIS_VIA_NFKBFERRANDO_LYL1_NEIGHBORS
GO_CELLULAR_IRON_ION_HOMEOSTASISGO_COMPLEMENT_ACTIVATIONEINAV_INTERFERON_SIGNATURE_IN_CANCERGAUSSMANN_MLL_AF4_FUSION_TARGETS_F_DN
GO_CHAPERONE_MEDIATED_PROTEIN_COMPLEX_ASSEMBLYGO_COMPLEMENT_ACTIVATION_ALTERNATIVE_PATHWAYFIGUEROA_AML_METHYLATION_CLUSTER_5_DNGO_ACETYLGALACTOSAMINYLTRANSFERASE_ACTIVITY
GO_CHYLOMICRONGO_CYTOSOLIC_SMALL_RIBOSOMAL_SUBUNITFINETTI_BREAST_CANCER_KINOME_GREENGO_ACTIN_FILAMENT_POLYMERIZATION
GO_COMPLEMENT_ACTIVATIONGO_DETECTION_OF_CHEMICAL_STIMULUS_INVOLVED_IN_SENSORY_PERCEPTION_OF_TASTEFUNG_IL2_SIGNALING_2GO_ACTIVATION_OF_CYSTEINE_TYPE_ENDOPEPTIDASE_ACTIVITY_INVOLVED_IN_APOPTOTIC_SIGNALING_PATHWAY
GO_COMPLEMENT_ACTIVATION_ALTERNATIVE_PATHWAYGO_DYNEIN_BINDINGGAUSSMANN_MLL_AF4_FUSION_TARGETS_F_DNGO_ADENYLATE_CYCLASE_ACTIVATING_DOPAMINE_RECEPTOR_SIGNALING_PATHWAY
GO_CYTOSOLIC_SMALL_RIBOSOMAL_SUBUNITGO_ERBB2_SIGNALING_PATHWAYGAVIN_FOXP3_TARGETS_CLUSTER_T7GO_ADENYLATE_CYCLASE_ACTIVATING_G_PROTEIN_COUPLED_RECEPTOR_SIGNALING_PATHWAY
GO_DETECTION_OF_CHEMICAL_STIMULUS_INVOLVED_IN_SENSORY_PERCEPTION_OF_TASTEGO_FAT_SOLUBLE_VITAMIN_METABOLIC_PROCESSGENTILE_UV_RESPONSE_CLUSTER_D1GO_ADENYLATE_CYCLASE_MODULATING_G_PROTEIN_COUPLED_RECEPTOR_SIGNALING_PATHWAY
GO_DETOXIFICATIONGO_GAS_TRANSPORTGO_14_3_3_PROTEIN_BINDINGGO_ADRENERGIC_RECEPTOR_SIGNALING_PATHWAY
GO_ENDOCYTIC_VESICLE_LUMENGO_HUMORAL_IMMUNE_RESPONSE_MEDIATED_BY_CIRCULATING_IMMUNOGLOBULINGO_ACETYLGALACTOSAMINYLTRANSFERASE_ACTIVITYGO_AXON_REGENERATION
GO_EPOXYGENASE_P450_PATHWAYGO_HYDROLASE_ACTIVITY_ACTING_ON_CARBON_NITROGEN_BUT_NOT_PEPTIDE_BONDS_IN_LINEAR_AMIDINESGO_ACROSOME_ASSEMBLYGO_B_CELL_RECEPTOR_SIGNALING_PATHWAY
GO_FAT_SOLUBLE_VITAMIN_METABOLIC_PROCESSGO_MAP_KINASE_KINASE_KINASE_ACTIVITYGO_ACTIN_FILAMENT_POLYMERIZATIONGO_BASEMENT_MEMBRANE_ORGANIZATION
GO_HIGH_DENSITY_LIPOPROTEIN_PARTICLEGO_MHC_CLASS_II_PROTEIN_COMPLEX_BINDINGGO_ACTIVATION_OF_ADENYLATE_CYCLASE_ACTIVITYGO_BETA_1_3_GALACTOSYLTRANSFERASE_ACTIVITY
GO_HUMORAL_IMMUNE_RESPONSE_MEDIATED_BY_CIRCULATING_IMMUNOGLOBULINGO_MULTIVESICULAR_BODY_ORGANIZATIONGO_ACTIVATION_OF_CYSTEINE_TYPE_ENDOPEPTIDASE_ACTIVITY_INVOLVED_IN_APOPTOTIC_SIGNALING_PATHWAYGO_CELLULAR_RESPONSE_TO_EXOGENOUS_DSRNA
GO_HYDROLASE_ACTIVITY_ACTING_ON_CARBON_NITROGEN_BUT_NOT_PEPTIDE_BONDS_IN_LINEAR_AMIDINESGO_NEGATIVE_REGULATION_OF_ACUTE_INFLAMMATORY_RESPONSEGO_ADENYLATE_CYCLASE_ACTIVATING_G_PROTEIN_COUPLED_RECEPTOR_SIGNALING_PATHWAYGO_CELLULAR_RESPONSE_TO_PROSTAGLANDIN_E_STIMULUS
GO_INTRINSIC_COMPONENT_OF_MITOCHONDRIAL_OUTER_MEMBRANEGO_NEGATIVE_REGULATION_OF_ANDROGEN_RECEPTOR_SIGNALING_PATHWAYGO_ADENYLYLTRANSFERASE_ACTIVITYGO_COPPER_ION_TRANSPORT
GO_MHC_CLASS_II_PROTEIN_COMPLEX_BINDINGGO_NEGATIVE_REGULATION_OF_CALCIUM_ION_IMPORTGO_ANTIGEN_BINDINGGO_CYTOLYSIS
GO_MITOCHONDRIAL_ATP_SYNTHESIS_COUPLED_PROTON_TRANSPORTGO_NEGATIVE_REGULATION_OF_CARBOHYDRATE_METABOLIC_PROCESSGO_B_CELL_ACTIVATIONGO_CYTOPLASMIC_SEQUESTERING_OF_TRANSCRIPTION_FACTOR
GO_MULTIVESICULAR_BODY_ORGANIZATIONGO_NEGATIVE_REGULATION_OF_HORMONE_SECRETIONGO_B_CELL_RECEPTOR_SIGNALING_PATHWAYGO_DISRUPTION_OF_CELLS_OF_OTHER_ORGANISM
GO_NEGATIVE_REGULATION_OF_ACUTE_INFLAMMATORY_RESPONSEGO_NEGATIVE_REGULATION_OF_PEPTIDE_SECRETIONGO_BETA_1_3_GALACTOSYLTRANSFERASE_ACTIVITYGO_DISRUPTION_OF_CELLS_OF_OTHER_ORGANISM_INVOLVED_IN_SYMBIOTIC_INTERACTION
GO_NEGATIVE_REGULATION_OF_ANDROGEN_RECEPTOR_SIGNALING_PATHWAYGO_NEGATIVE_REGULATION_OF_PROTEIN_OLIGOMERIZATIONGO_CELLULAR_COMPONENT_DISASSEMBLY_INVOLVED_IN_EXECUTION_PHASE_OF_APOPTOSISGO_DNA_TEMPLATED_TRANSCRIPTIONAL_PREINITIATION_COMPLEX_ASSEMBLY
GO_NEGATIVE_REGULATION_OF_CALCIUM_ION_IMPORTGO_NEGATIVE_REGULATION_OF_RELEASE_OF_CYTOCHROME_C_FROM_MITOCHONDRIAGO_CELLULAR_RESPONSE_TO_ACID_CHEMICALGO_DOPAMINE_RECEPTOR_BINDING
GO_NEGATIVE_REGULATION_OF_HORMONE_SECRETIONGO_NUCLEOBASE_METABOLIC_PROCESSGO_CELLULAR_RESPONSE_TO_EXOGENOUS_DSRNAGO_DOPAMINE_RECEPTOR_SIGNALING_PATHWAY
GO_NEGATIVE_REGULATION_OF_LIPID_CATABOLIC_PROCESSGO_NUCLEOSIDE_PHOSPHATE_CATABOLIC_PROCESSGO_CELLULAR_RESPONSE_TO_GLUCOSE_STARVATIONGO_DRUG_BINDING
GO_NEGATIVE_REGULATION_OF_PEPTIDE_SECRETIONGO_ORGANIC_CYCLIC_COMPOUND_CATABOLIC_PROCESSGO_CELLULAR_RESPONSE_TO_PROSTAGLANDIN_E_STIMULUSGO_ENDOPLASMIC_RETICULUM_CHAPERONE_COMPLEX
GO_NEGATIVE_REGULATION_OF_RELEASE_OF_CYTOCHROME_C_FROM_MITOCHONDRIAGO_OXYGEN_TRANSPORTGO_CELLULAR_RESPONSE_TO_PROSTAGLANDIN_STIMULUSGO_EPITHELIAL_STRUCTURE_MAINTENANCE
GO_NEGATIVE_REGULATION_OF_RESPONSE_TO_OXIDATIVE_STRESSGO_PEPTIDE_ANTIGEN_BINDINGGO_COPPER_ION_TRANSPORTGO_ERYTHROCYTE_DEVELOPMENT
GO_ORGAN_OR_TISSUE_SPECIFIC_IMMUNE_RESPONSEGO_POSITIVE_REGULATION_OF_CARDIAC_MUSCLE_CONTRACTIONGO_CYCLIN_DEPENDENT_PROTEIN_SERINE_THREONINE_KINASE_INHIBITOR_ACTIVITYGO_EXECUTION_PHASE_OF_APOPTOSIS
GO_OXIDOREDUCTASE_ACTIVITY_ACTING_ON_PAIRED_DONORS_WITH_INCORPORATION_OR_REDUCTION_OF_MOLECULAR_OXYGEN_REDUCED_FLAVIN_OR_FLAVOPROTEIN_AS_ONE_DONOR_AND_INCORPORATION_OF_ONE_ATOM_OF_OXYGENGO_POSITIVE_REGULATION_OF_CATECHOLAMINE_SECRETIONGO_CYTOPLASMIC_SEQUESTERING_OF_TRANSCRIPTION_FACTORGO_GRANULOCYTE_DIFFERENTIATION
GO_OXYGEN_BINDINGGO_POSITIVE_REGULATION_OF_TRANSCRIPTION_INITIATION_FROM_RNA_POLYMERASE_II_PROMOTERGO_DEAMINASE_ACTIVITYGO_INTERACTION_WITH_SYMBIONT
GO_OXYGEN_TRANSPORTGO_PROTEIN_BINDING_INVOLVED_IN_PROTEIN_FOLDINGGO_DEFENSE_RESPONSE_TO_VIRUSGO_ISOPRENOID_BINDING
GO_POSITIVE_REGULATION_OF_CARDIAC_MUSCLE_CONTRACTIONGO_REGULATION_OF_APPETITEGO_DOPAMINE_RECEPTOR_BINDINGGO_LYMPHOID_PROGENITOR_CELL_DIFFERENTIATION
GO_POSITIVE_REGULATION_OF_FATTY_ACID_METABOLIC_PROCESSGO_REGULATION_OF_CELL_PROJECTION_SIZEGO_ENDOLYSOSOMEGO_MACROPHAGE_DIFFERENTIATION
GO_POSITIVE_REGULATION_OF_FATTY_ACID_OXIDATIONGO_REGULATION_OF_CELLULAR_AMINO_ACID_METABOLIC_PROCESSGO_ENDOPLASMIC_RETICULUM_CHAPERONE_COMPLEXGO_MAINTENANCE_OF_CELL_POLARITY
GO_POSITIVE_REGULATION_OF_LIPID_STORAGEGO_REGULATION_OF_MICROTUBULE_BASED_MOVEMENTGO_EPITHELIAL_STRUCTURE_MAINTENANCEGO_MAINTENANCE_OF_GASTROINTESTINAL_EPITHELIUM
GO_POSITIVE_REGULATION_OF_RELEASE_OF_CYTOCHROME_C_FROM_MITOCHONDRIAGO_REGULATION_OF_URINE_VOLUMEGO_EXTRINSIC_APOPTOTIC_SIGNALING_PATHWAY_VIA_DEATH_DOMAIN_RECEPTORSGO_MAP_KINASE_ACTIVITY
GO_POSITIVE_REGULATION_OF_RESPONSE_TO_OXIDATIVE_STRESSGO_RENAL_SYSTEM_PROCESS_INVOLVED_IN_REGULATION_OF_BLOOD_VOLUMEGO_FEMALE_GAMETE_GENERATIONGO_MULTICELLULAR_ORGANISMAL_MOVEMENT
GO_POSITIVE_REGULATION_OF_TRANSCRIPTION_INITIATION_FROM_RNA_POLYMERASE_II_PROMOTERGO_RESPONSE_TO_ACTIVITYGO_G_PROTEIN_BETA_GAMMA_SUBUNIT_COMPLEX_BINDINGGO_NATURAL_KILLER_CELL_DIFFERENTIATION
GO_PROTEIN_BINDING_INVOLVED_IN_PROTEIN_FOLDINGGO_RESPONSE_TO_CAMPGO_G_PROTEIN_COUPLED_RECEPTOR_SIGNALING_PATHWAY_COUPLED_TO_CYCLIC_NUCLEOTIDE_SECOND_MESSENGERGO_NECROTIC_CELL_DEATH
GO_PROTEIN_REFOLDINGGO_RESPONSE_TO_COLDGO_GALACTOSYLTRANSFERASE_ACTIVITYGO_NEGATIVE_REGULATION_OF_CALCIUM_ION_TRANSMEMBRANE_TRANSPORT
GO_PROTON_TRANSPORTING_ATP_SYNTHASE_COMPLEXGO_RESPONSE_TO_DIETARY_EXCESSGO_GLYCOPROTEIN_CATABOLIC_PROCESSGO_NEGATIVE_REGULATION_OF_GLYCOPROTEIN_BIOSYNTHETIC_PROCESS
GO_QUATERNARY_AMMONIUM_GROUP_BINDINGGO_RESPONSE_TO_MISFOLDED_PROTEINGO_GRANULOCYTE_DIFFERENTIATIONGO_NEGATIVE_REGULATION_OF_HOMEOSTATIC_PROCESS
GO_REACTIVE_OXYGEN_SPECIES_BIOSYNTHETIC_PROCESSGO_RESPONSE_TO_SALT_STRESSGO_GTPASE_ACTIVATING_PROTEIN_BINDINGGO_NEGATIVE_REGULATION_OF_INTERLEUKIN_1_PRODUCTION
GO_REACTIVE_OXYGEN_SPECIES_METABOLIC_PROCESSGO_RETINA_HOMEOSTASISGO_I_KAPPAB_KINASE_NF_KAPPAB_SIGNALINGGO_NEGATIVE_REGULATION_OF_INTERLEUKIN_10_PRODUCTION
GO_REGULATION_OF_APPETITEGO_RETINOL_DEHYDROGENASE_ACTIVITYGO_ISOPRENOID_BINDINGGO_NEGATIVE_REGULATION_OF_INTRINSIC_APOPTOTIC_SIGNALING_PATHWAY
GO_REGULATION_OF_CELLULAR_AMINO_ACID_METABOLIC_PROCESSGO_SENSORY_PERCEPTION_OF_TASTEGO_JNK_CASCADEGO_NEGATIVE_REGULATION_OF_INTRINSIC_APOPTOTIC_SIGNALING_PATHWAY_IN_RESPONSE_TO_DNA_DAMAGE
GO_REGULATION_OF_ENERGY_HOMEOSTASISGO_SEQUESTERING_OF_METAL_IONGO_KINASE_INHIBITOR_ACTIVITYGO_NEGATIVE_REGULATION_OF_LEUKOCYTE_APOPTOTIC_PROCESS
GO_REGULATION_OF_MICROTUBULE_BASED_MOVEMENTGO_TETRAPYRROLE_BINDINGGO_KINASE_REGULATOR_ACTIVITYGO_NEGATIVE_REGULATION_OF_LYASE_ACTIVITY
GO_REGULATION_OF_OXIDATIVE_STRESS_INDUCED_CELL_DEATHGO_U1_SNRNPGO_LYMPH_NODE_DEVELOPMENTGO_NEGATIVE_REGULATION_OF_LYMPHOCYTE_APOPTOTIC_PROCESS
GO_REGULATION_OF_RELEASE_OF_CYTOCHROME_C_FROM_MITOCHONDRIAGO_UBIQUITIN_LIKE_PROTEIN_CONJUGATING_ENZYME_BINDINGGO_LYMPHOCYTE_HOMEOSTASISGO_NEGATIVE_REGULATION_OF_MYELOID_CELL_APOPTOTIC_PROCESS
GO_REGULATION_OF_SEQUESTERING_OF_TRIGLYCERIDEGO_VIRION_ASSEMBLYGO_MAINTENANCE_OF_GASTROINTESTINAL_EPITHELIUMGO_NEGATIVE_REGULATION_OF_OSTEOCLAST_DIFFERENTIATION
GO_REGULATION_OF_URINE_VOLUMEGOERING_BLOOD_HDL_CHOLESTEROL_QTL_CISGO_MEMBRANE_TUBULATIONGO_NEGATIVE_REGULATION_OF_RESPONSE_TO_BIOTIC_STIMULUS
GO_RENAL_SYSTEM_PROCESS_INVOLVED_IN_REGULATION_OF_BLOOD_VOLUMEHALLMARK_PANCREAS_BETA_CELLSGO_MITOGEN_ACTIVATED_PROTEIN_KINASE_KINASE_BINDINGGO_NEGATIVE_REGULATION_OF_RESPONSE_TO_DNA_DAMAGE_STIMULUS
GO_RESPONSE_TO_CAMPHALMOS_CEBPA_TARGETS_DNGO_MITOTIC_SISTER_CHROMATID_COHESIONGO_NEGATIVE_REGULATION_OF_SIGNAL_TRANSDUCTION_BY_P53_CLASS_MEDIATOR
GO_RESPONSE_TO_COLDHOUSTIS_ROSGO_MODULATION_BY_HOST_OF_VIRAL_PROCESSGO_NEGATIVE_REGULATION_OF_STAT_CASCADE
GO_RESPONSE_TO_DIETARY_EXCESSHUI_MAPK14_TARGETS_UPGO_MRNA_TRANSCRIPTIONGO_NEGATIVE_REGULATION_OF_TRANSMEMBRANE_TRANSPORT
GO_RESPONSE_TO_MISFOLDED_PROTEINHWANG_PROSTATE_CANCER_MARKERSGO_MRNA_TRANSCRIPTION_FROM_RNA_POLYMERASE_II_PROMOTERGO_NEGATIVE_T_CELL_SELECTION
GO_RESPONSE_TO_OXYGEN_RADICALKANG_GLIS3_TARGETSGO_NATURAL_KILLER_CELL_ACTIVATIONGO_NEURON_PROJECTION_REGENERATION
GO_RESPONSE_TO_PHENYLPROPANOIDKEGG_ADIPOCYTOKINE_SIGNALING_PATHWAYGO_NATURAL_KILLER_CELL_DIFFERENTIATIONGO_NUCLEAR_INCLUSION_BODY
GO_RETINA_HOMEOSTASISKEGG_RETINOL_METABOLISMGO_NECROTIC_CELL_DEATHGO_NUCLEOTIDASE_ACTIVITY
GO_RETINOL_DEHYDROGENASE_ACTIVITYKIM_BIPOLAR_DISORDER_OLIGODENDROCYTE_DENSITY_CORR_DNGO_NEGATIVE_REGULATION_OF_HOMEOSTATIC_PROCESSGO_PHOSPHOLIPASE_C_ACTIVATING_G_PROTEIN_COUPLED_RECEPTOR_SIGNALING_PATHWAY
GO_SENSORY_PERCEPTION_OF_TASTEKIM_RESPONSE_TO_TSA_AND_DECITABINE_UPGO_NEGATIVE_REGULATION_OF_LEUKOCYTE_APOPTOTIC_PROCESSGO_PHOSPHOLIPASE_C_ACTIVITY
GO_SPERM_MOTILITYLEE_LIVER_CANCER_ACOX1_UPGO_NEGATIVE_REGULATION_OF_LIPID_BIOSYNTHETIC_PROCESSGO_PHOSPHOTRANSFERASE_ACTIVITY_NITROGENOUS_GROUP_AS_ACCEPTOR
GO_TETRAPYRROLE_BINDINGMATZUK_SPERMATID_DIFFERENTIATIONGO_NEGATIVE_REGULATION_OF_LYMPHOCYTE_APOPTOTIC_PROCESSGO_POLY_A_MRNA_EXPORT_FROM_NUCLEUS
GO_U1_SNRNPMEISSNER_ES_ICP_WITH_H3K4ME3_AND_H3K27ME3GO_NEGATIVE_REGULATION_OF_LYMPHOCYTE_MEDIATED_IMMUNITYGO_POSITIVE_REGULATION_OF_B_CELL_PROLIFERATION
GO_UBIQUITIN_LIKE_PROTEIN_CONJUGATING_ENZYME_BINDINGMIKKELSEN_IPS_LCP_WITH_H3K27ME3GO_NEGATIVE_REGULATION_OF_MYELOID_CELL_APOPTOTIC_PROCESSGO_POSITIVE_REGULATION_OF_CAMP_MEDIATED_SIGNALING
GO_VIRION_ASSEMBLYMIKKELSEN_MEF_HCP_WITH_H3_UNMETHYLATEDGO_NEGATIVE_REGULATION_OF_OSTEOCLAST_DIFFERENTIATIONGO_POSITIVE_REGULATION_OF_ERYTHROCYTE_DIFFERENTIATION
HALMOS_CEBPA_TARGETS_DNNGUYEN_NOTCH1_TARGETS_UPGO_NEGATIVE_REGULATION_OF_RESPONSE_TO_BIOTIC_STIMULUSGO_POSITIVE_REGULATION_OF_INTRINSIC_APOPTOTIC_SIGNALING_PATHWAY
HEDVAT_ELF4_TARGETS_UPNIKOLSKY_BREAST_CANCER_8Q23_Q24_AMPLICONGO_NEGATIVE_REGULATION_OF_RESPONSE_TO_DNA_DAMAGE_STIMULUSGO_POSITIVE_REGULATION_OF_LYASE_ACTIVITY
HOUSTIS_ROSPEDERSEN_METASTASIS_BY_ERBB2_ISOFORM_6GO_NEGATIVE_REGULATION_OF_STAT_CASCADEGO_POSITIVE_REGULATION_OF_LYMPHOCYTE_MIGRATION
HOWLIN_CITED1_TARGETS_2_UPREACTOME_APOPTOTIC_CLEAVAGE_OF_CELL_ADHESION_PROTEINSGO_NEGATIVE_REGULATION_OF_TRANSMEMBRANE_TRANSPORTGO_POSITIVE_REGULATION_OF_MEMBRANE_INVAGINATION
HUI_MAPK14_TARGETS_UPREACTOME_COMPLEMENT_CASCADEGO_NEGATIVE_REGULATION_OF_TYPE_I_INTERFERON_PRODUCTIONGO_POSITIVE_REGULATION_OF_NUCLEOTIDE_METABOLIC_PROCESS
HWANG_PROSTATE_CANCER_MARKERSREACTOME_INITIAL_TRIGGERING_OF_COMPLEMENTGO_NUCLEOTIDASE_ACTIVITYGO_POSITIVE_REGULATION_OF_OXIDATIVE_STRESS_INDUCED_CELL_DEATH
KANG_GLIS3_TARGETSREACTOME_REGULATION_OF_RHEB_GTPASE_ACTIVITY_BY_AMPKGO_OLIGOSACCHARIDE_BIOSYNTHETIC_PROCESSGO_POSITIVE_REGULATION_OF_PROTEIN_DEACETYLATION
KEGG_PARKINSONS_DISEASEREACTOME_TANDEM_PORE_DOMAIN_POTASSIUM_CHANNELSGO_OOCYTE_MATURATIONGO_POSITIVE_REGULATION_OF_THYMOCYTE_AGGREGATION
KEGG_TASTE_TRANSDUCTIONSHANK_TAL1_TARGETS_DNGO_PARTURITIONGO_PROSTANOID_METABOLIC_PROCESS
KIM_BIPOLAR_DISORDER_OLIGODENDROCYTE_DENSITY_CORR_DNSUBTIL_PROGESTIN_TARGETSGO_PHOSPHATE_ION_BINDINGGO_PROTEIN_DESTABILIZATION
KIM_RESPONSE_TO_TSA_AND_DECITABINE_UPVALK_AML_CLUSTER_10GO_PHOSPHATIDIC_ACID_BINDINGGO_PROTEIN_HOMOTRIMERIZATION
LEE_LIVER_CANCER_ACOX1_UPVALK_AML_CLUSTER_15GO_PHOSPHATIDYLINOSITOL_4_PHOSPHATE_BINDINGGO_PYRIMIDINE_CONTAINING_COMPOUND_SALVAGE
MATZUK_SPERMATID_DIFFERENTIATIONVALK_AML_WITH_EVI1GO_PHOSPHOLIPASE_C_ACTIVATING_G_PROTEIN_COUPLED_RECEPTOR_SIGNALING_PATHWAYGO_REGULATION_OF_ADENYLATE_CYCLASE_ACTIVITY
MEISSNER_ES_ICP_WITH_H3K4ME3_AND_H3K27ME3WANG_BARRETTS_ESOPHAGUS_AND_ESOPHAGUS_CANCER_UPGO_PHOSPHOLIPASE_C_ACTIVITYGO_REGULATION_OF_ALPHA_AMINO_3_HYDROXY_5_METHYL_4_ISOXAZOLE_PROPIONATE_SELECTIVE_GLUTAMATE_RECEPTOR_ACTIVITY
MIKKELSEN_MEF_HCP_WITH_H3_UNMETHYLATEDWANG_PROSTATE_CANCER_ANDROGEN_INDEPENDENTGO_PHOSPHOTRANSFERASE_ACTIVITY_NITROGENOUS_GROUP_AS_ACCEPTORGO_REGULATION_OF_B_CELL_RECEPTOR_SIGNALING_PATHWAY
NGUYEN_NOTCH1_TARGETS_UPWANG_RESPONSE_TO_ANDROGEN_UPGO_POSITIVE_REGULATION_OF_ALCOHOL_BIOSYNTHETIC_PROCESSGO_REGULATION_OF_BONE_DEVELOPMENT
NIKOLSKY_BREAST_CANCER_8Q23_Q24_AMPLICONWEBER_METHYLATED_HCP_IN_SPERM_DNGO_POSITIVE_REGULATION_OF_B_CELL_DIFFERENTIATIONGO_REGULATION_OF_BONE_RESORPTION
PEDERSEN_METASTASIS_BY_ERBB2_ISOFORM_6YAO_TEMPORAL_RESPONSE_TO_PROGESTERONE_CLUSTER_10GO_POSITIVE_REGULATION_OF_B_CELL_PROLIFERATIONGO_REGULATION_OF_DEFENSE_RESPONSE_TO_VIRUS_BY_HOST
REACTOME_COMPLEMENT_CASCADEYAO_TEMPORAL_RESPONSE_TO_PROGESTERONE_CLUSTER_5GO_POSITIVE_REGULATION_OF_CELLULAR_EXTRAVASATIONGO_REGULATION_OF_ERYTHROCYTE_DIFFERENTIATION
REACTOME_FORMATION_OF_ATP_BY_CHEMIOSMOTIC_COUPLINGYAO_TEMPORAL_RESPONSE_TO_PROGESTERONE_CLUSTER_9GO_POSITIVE_REGULATION_OF_ERYTHROCYTE_DIFFERENTIATIONGO_REGULATION_OF_FEVER_GENERATION
REACTOME_INITIAL_TRIGGERING_OF_COMPLEMENTZHOU_PANCREATIC_EXOCRINE_PROGENITORGO_POSITIVE_REGULATION_OF_INTERFERON_ALPHA_PRODUCTIONGO_REGULATION_OF_INTRINSIC_APOPTOTIC_SIGNALING_PATHWAY
REACTOME_OXYGEN_DEPENDENT_PROLINE_HYDROXYLATION_OF_HYPOXIA_INDUCIBLE_FACTOR_ALPHAGO_POSITIVE_REGULATION_OF_INTERFERON_BETA_PRODUCTIONGO_REGULATION_OF_INTRINSIC_APOPTOTIC_SIGNALING_PATHWAY_BY_P53_CLASS_MEDIATOR
REACTOME_REGULATION_OF_RHEB_GTPASE_ACTIVITY_BY_AMPKGO_POSITIVE_REGULATION_OF_LAMELLIPODIUM_ASSEMBLYGO_REGULATION_OF_INTRINSIC_APOPTOTIC_SIGNALING_PATHWAY_IN_RESPONSE_TO_DNA_DAMAGE
REACTOME_RESPIRATORY_ELECTRON_TRANSPORTGO_POSITIVE_REGULATION_OF_LYASE_ACTIVITYGO_REGULATION_OF_INTRINSIC_APOPTOTIC_SIGNALING_PATHWAY_IN_RESPONSE_TO_DNA_DAMAGE_BY_P53_CLASS_MEDIATOR
REACTOME_RESPIRATORY_ELECTRON_TRANSPORT_ATP_SYNTHESIS_BY_CHEMIOSMOTIC_COUPLING_AND_HEAT_PRODUCTION_BY_UNCOUPLING_PROTEINS_GO_POSITIVE_REGULATION_OF_LYMPHOCYTE_MIGRATIONGO_REGULATION_OF_LYASE_ACTIVITY
REACTOME_TANDEM_PORE_DOMAIN_POTASSIUM_CHANNELSGO_POSITIVE_REGULATION_OF_MEMBRANE_INVAGINATIONGO_REGULATION_OF_MEMBRANE_INVAGINATION
REACTOME_TIGHT_JUNCTION_INTERACTIONSGO_POSITIVE_REGULATION_OF_NATURAL_KILLER_CELL_MEDIATED_IMMUNITYGO_REGULATION_OF_PROTEIN_TYROSINE_KINASE_ACTIVITY
REACTOME_XENOBIOTICSGO_POSITIVE_REGULATION_OF_NUCLEOTIDE_METABOLIC_PROCESSGO_REGULATION_OF_RECEPTOR_BINDING
SHANK_TAL1_TARGETS_DNGO_POSITIVE_REGULATION_OF_PROTEIN_AUTOPHOSPHORYLATIONGO_REGULATION_OF_T_CELL_APOPTOTIC_PROCESS
SUBTIL_PROGESTIN_TARGETSGO_POSITIVE_REGULATION_OF_RESPONSE_TO_CYTOKINE_STIMULUSGO_REGULATION_OF_THYMOCYTE_AGGREGATION
VALK_AML_CLUSTER_10GO_POSITIVE_REGULATION_OF_T_CELL_MEDIATED_IMMUNITYGO_REGULATION_OF_THYMOCYTE_APOPTOTIC_PROCESS
VALK_AML_WITH_EVI1GO_POSITIVE_REGULATION_OF_THYMOCYTE_AGGREGATIONGO_RESPONSE_TO_SALT
VANLOO_SP3_TARGETS_DNGO_PROSTANOID_BIOSYNTHETIC_PROCESSGO_RETINAL_BINDING
WAMUNYOKOLI_OVARIAN_CANCER_LMP_UPGO_PROSTANOID_METABOLIC_PROCESSGO_SKELETAL_MUSCLE_CONTRACTION
WANG_BARRETTS_ESOPHAGUS_AND_ESOPHAGUS_CANCER_UPGO_PROTEIN_C_TERMINUS_BINDINGGO_SULFATION
WEBER_METHYLATED_HCP_IN_SPERM_DNGO_PROTEIN_DESTABILIZATIONGO_SUMO_TRANSFERASE_ACTIVITY
YAO_TEMPORAL_RESPONSE_TO_PROGESTERONE_CLUSTER_10GO_PYRIMIDINE_CONTAINING_COMPOUND_SALVAGEGO_SUPEROXIDE_METABOLIC_PROCESS
YAO_TEMPORAL_RESPONSE_TO_PROGESTERONE_CLUSTER_5GO_REGULATION_OF_ACTIVATED_T_CELL_PROLIFERATIONGO_THYMIC_T_CELL_SELECTION
YAO_TEMPORAL_RESPONSE_TO_PROGESTERONE_CLUSTER_9GO_REGULATION_OF_ANTIGEN_PROCESSING_AND_PRESENTATIONGO_THYMOCYTE_AGGREGATION
GO_REGULATION_OF_B_CELL_PROLIFERATIONGO_TRANSCRIPTIONAL_REPRESSOR_ACTIVITY_RNA_POLYMERASE_II_CORE_PROMOTER_PROXIMAL_REGION_SEQUENCE_SPECIFIC_BINDING
GO_REGULATION_OF_B_CELL_RECEPTOR_SIGNALING_PATHWAYGO_XENOPHAGY
GO_REGULATION_OF_BONE_DEVELOPMENTHANSON_HRAS_SIGNALING_VIA_NFKB
GO_REGULATION_OF_BONE_REMODELINGHERNANDEZ_MITOTIC_ARREST_BY_DOCETAXEL_2_UP
GO_REGULATION_OF_BONE_RESORPTIONHOFMANN_MYELODYSPLASTIC_SYNDROM_HIGH_RISK_DN
GO_REGULATION_OF_ERYTHROCYTE_DIFFERENTIATIONHOFMANN_MYELODYSPLASTIC_SYNDROM_RISK_DN
GO_REGULATION_OF_FEVER_GENERATIONHOLLEMAN_DAUNORUBICIN_B_ALL_DN
GO_REGULATION_OF_INTERFERON_ALPHA_PRODUCTIONHOLLEMAN_VINCRISTINE_RESISTANCE_ALL_DN
GO_REGULATION_OF_INTERFERON_BETA_PRODUCTIONHUMMERICH_BENIGN_SKIN_TUMOR_DN
GO_REGULATION_OF_LYASE_ACTIVITYHUMMERICH_MALIGNANT_SKIN_TUMOR_DN
GO_REGULATION_OF_LYMPHOCYTE_CHEMOTAXISIYENGAR_RESPONSE_TO_ADIPOCYTE_FACTORS
GO_REGULATION_OF_MEMBRANE_INVAGINATIONKAYO_CALORIE_RESTRICTION_MUSCLE_UP
GO_REGULATION_OF_MRNA_CATABOLIC_PROCESSKEGG_AMYOTROPHIC_LATERAL_SCLEROSIS_ALS
GO_REGULATION_OF_NITRIC_OXIDE_SYNTHASE_BIOSYNTHETIC_PROCESSKORKOLA_CHORIOCARCINOMA_DN
GO_REGULATION_OF_PROTEIN_TYROSINE_KINASE_ACTIVITYKRIEG_KDM3A_TARGETS_NOT_HYPOXIA
GO_REGULATION_OF_T_CELL_APOPTOTIC_PROCESSKUROKAWA_LIVER_CANCER_CHEMOTHERAPY_UP
GO_REGULATION_OF_T_CELL_CHEMOTAXISLU_TUMOR_ENDOTHELIAL_MARKERS_UP
GO_REGULATION_OF_T_CELL_MEDIATED_IMMUNITYLU_TUMOR_VASCULATURE_UP
GO_REGULATION_OF_T_CELL_MIGRATIONMA_MYELOID_DIFFERENTIATION_UP
GO_REGULATION_OF_TOLL_LIKE_RECEPTOR_SIGNALING_PATHWAYMATZUK_MALE_REPRODUCTION_SERTOLI
GO_REGULATION_OF_TRANSCRIPTION_INITIATION_FROM_RNA_POLYMERASE_II_PROMOTERMATZUK_OVULATION
GO_REGULATION_OF_TYPE_I_INTERFERON_MEDIATED_SIGNALING_PATHWAYMEISSNER_NPC_ICP_WITH_H3K4ME3
GO_REGULATION_OF_TYPE_I_INTERFERON_PRODUCTIONMMS_MOUSE_LYMPH_HIGH_4HRS_UP
GO_RESPONSE_TO_ACIDIC_PHMOSERLE_IFNA_RESPONSE
GO_RESPONSE_TO_EXOGENOUS_DSRNANAKAMURA_LUNG_CANCER_DIFFERENTIATION_MARKERS
GO_RESPONSE_TO_MURAMYL_DIPEPTIDENIKOLSKY_BREAST_CANCER_1Q21_AMPLICON
GO_RESPONSE_TO_PLATELET_DERIVED_GROWTH_FACTORPID_LPA4_PATHWAY
GO_RESPONSE_TO_VIRUSPID_PI3KCI_PATHWAY
GO_RETINAL_BINDINGRADAEVA_RESPONSE_TO_IFNA1_UP
GO_RETINOL_BINDINGREACTOME_ADENYLATE_CYCLASE_ACTIVATING_PATHWAY
GO_RNA_DESTABILIZATIONREACTOME_ADENYLATE_CYCLASE_INHIBITORY_PATHWAY
GO_SUMO_TRANSFERASE_ACTIVITYREACTOME_DSCAM_INTERACTIONS
GO_THYMOCYTE_AGGREGATIONREACTOME_G_ALPHA_Z_SIGNALLING_EVENTS
GO_THYROID_HORMONE_RECEPTOR_BINDINGREACTOME_INTRINSIC_PATHWAY_FOR_APOPTOSIS
GO_TOLL_LIKE_RECEPTOR_4_SIGNALING_PATHWAYREACTOME_PLATELET_ADHESION_TO_EXPOSED_COLLAGEN
GO_TRANSCRIPTION_FACTOR_ACTIVITY_RNA_POLYMERASE_II_CORE_PROMOTER_SEQUENCE_SPECIFICREACTOME_PROSTACYCLIN_SIGNALLING_THROUGH_PROSTACYCLIN_RECEPTOR
GO_TUMOR_NECROSIS_FACTOR_RECEPTOR_BINDINGREACTOME_REGULATION_OF_KIT_SIGNALING
GO_TUMOR_NECROSIS_FACTOR_RECEPTOR_SUPERFAMILY_BINDINGREACTOME_RIP_MEDIATED_NFKB_ACTIVATION_VIA_DAI
GRANDVAUX_IFN_RESPONSE_NOT_VIA_IRF3REACTOME_TAK1_ACTIVATES_NFKB_BY_PHOSPHORYLATION_AND_ACTIVATION_OF_IKKS_COMPLEX
HALLMARK_INTERFERON_ALPHA_RESPONSEREACTOME_TRAF6_MEDIATED_NFKB_ACTIVATION
HALLMARK_INTERFERON_GAMMA_RESPONSERICKMAN_HEAD_AND_NECK_CANCER_C
HANSON_HRAS_SIGNALING_VIA_NFKBRODRIGUES_THYROID_CARCINOMA_UP
HOFMANN_MYELODYSPLASTIC_SYNDROM_HIGH_RISK_DNSCHEIDEREIT_IKK_TARGETS
HOFMANN_MYELODYSPLASTIC_SYNDROM_RISK_DNSCHLESINGER_METHYLATED_IN_COLON_CANCER
HOLLEMAN_ASPARAGINASE_RESISTANCE_B_ALL_DNSHIN_B_CELL_LYMPHOMA_CLUSTER_2
IYENGAR_RESPONSE_TO_ADIPOCYTE_FACTORSSIG_CD40PATHWAYMAP
KEGG_GLYCOSAMINOGLYCAN_BIOSYNTHESIS_CHONDROITIN_SULFATESPIELMAN_LYMPHOBLAST_EUROPEAN_VS_ASIAN_2FC_DN
KORKOLA_CHORIOCARCINOMA_DNST_B_CELL_ANTIGEN_RECEPTOR
KRIEG_KDM3A_TARGETS_NOT_HYPOXIAST_T_CELL_SIGNAL_TRANSDUCTION
KUROKAWA_LIVER_CANCER_CHEMOTHERAPY_UPXU_CREBBP_TARGETS_DN
KYNG_WERNER_SYNDROM_UPZEMBUTSU_SENSITIVITY_TO_MITOMYCIN
LEE_CALORIE_RESTRICTION_MUSCLE_DNZHAN_LATE_DIFFERENTIATION_GENES_DN
LU_TUMOR_ENDOTHELIAL_MARKERS_UPZHOU_INFLAMMATORY_RESPONSE_FIMA_DN
LU_TUMOR_VASCULATURE_UP
MA_MYELOID_DIFFERENTIATION_UP
MAHADEVAN_RESPONSE_TO_MP470_UP
MARIADASON_RESPONSE_TO_CURCUMIN_SULINDAC_7
MATZUK_MALE_REPRODUCTION_SERTOLI
MATZUK_OVULATION
MOSERLE_IFNA_RESPONSE
MULLIGHAN_MLL_SIGNATURE_2_UP
NAKAMURA_ADIPOGENESIS_EARLY_UP
OUELLET_OVARIAN_CANCER_INVASIVE_VS_LMP_DN
PARK_TRETINOIN_RESPONSE
PID_EPO_PATHWAY
PID_LPA4_PATHWAY
PID_PI3KCI_PATHWAY
PID_S1P_S1P3_PATHWAY
PID_WNT_NONCANONICAL_PATHWAY
RADAEVA_RESPONSE_TO_IFNA1_UP
RASHI_RESPONSE_TO_IONIZING_RADIATION_4
RAY_TUMORIGENESIS_BY_ERBB2_CDC25A_UP
REACTOME_ACTIVATION_OF_IRF3_IRF7_MEDIATED_BY_TBK1_IKK_EPSILON
REACTOME_ADENYLATE_CYCLASE_ACTIVATING_PATHWAY
REACTOME_ADENYLATE_CYCLASE_INHIBITORY_PATHWAY
REACTOME_APOPTOSIS
REACTOME_APOPTOTIC_EXECUTION_PHASE
REACTOME_DSCAM_INTERACTIONS
REACTOME_EARLY_PHASE_OF_HIV_LIFE_CYCLE
REACTOME_IL_2_SIGNALING
REACTOME_IL_3_5_AND_GM_CSF_SIGNALING
REACTOME_IL_RECEPTOR_SHC_SIGNALING
REACTOME_PD1_SIGNALING
REACTOME_PHOSPHORYLATION_OF_CD3_AND_TCR_ZETA_CHAINS
REACTOME_REGULATION_OF_KIT_SIGNALING
REACTOME_RIP_MEDIATED_NFKB_ACTIVATION_VIA_DAI
REACTOME_TAK1_ACTIVATES_NFKB_BY_PHOSPHORYLATION_AND_ACTIVATION_OF_IKKS_COMPLEX
REACTOME_TRAF6_MEDIATED_INDUCTION_OF_TAK1_COMPLEX
REACTOME_TRAF6_MEDIATED_NFKB_ACTIVATION
REACTOME_TRAFFICKING_AND_PROCESSING_OF_ENDOSOMAL_TLR
RODRIGUES_THYROID_CARCINOMA_UP
ROSS_AML_WITH_CBFB_MYH11_FUSION
SANA_RESPONSE_TO_IFNG_UP
SCHEIDEREIT_IKK_TARGETS
SIG_PIP3_SIGNALING_IN_CARDIAC_MYOCTES
ST_B_CELL_ANTIGEN_RECEPTOR
ST_T_CELL_SIGNAL_TRANSDUCTION
ST_TUMOR_NECROSIS_FACTOR_PATHWAY
TONKS_TARGETS_OF_RUNX1_RUNX1T1_FUSION_ERYTHROCYTE_DN
TURASHVILI_BREAST_NORMAL_DUCTAL_VS_LOBULAR_UP
WU_HBX_TARGETS_3_UP
WUNDER_INFLAMMATORY_RESPONSE_AND_CHOLESTEROL_UP
XU_AKT1_TARGETS_6HR
XU_CREBBP_TARGETS_DN
YANG_BCL3_TARGETS_UP
ZEMBUTSU_SENSITIVITY_TO_NIMUSTINE
ZHAN_LATE_DIFFERENTIATION_GENES_DN
ZHAN_MULTIPLE_MYELOMA_HP_UP
ZHONG_SECRETOME_OF_LUNG_CANCER_AND_MACROPHAGE
ZHOU_INFLAMMATORY_RESPONSE_FIMA_DN
  32 in total

1.  Defective telomere lagging strand synthesis in cells lacking WRN helicase activity.

Authors:  Laure Crabbe; Ramiro E Verdun; Candy I Haggblom; Jan Karlseder
Journal:  Science       Date:  2004-12-10       Impact factor: 47.728

2.  The polycystic kidney disease-1 gene is a target for p53-mediated transcriptional repression.

Authors:  Diederik Van Bodegom; Zubaida Saifudeen; Susana Dipp; Sanjeev Puri; Brenda S Magenheimer; James P Calvet; Samir S El-Dahr
Journal:  J Biol Chem       Date:  2006-08-24       Impact factor: 5.157

3.  Pkd1 regulates immortalized proliferation of renal tubular epithelial cells through p53 induction and JNK activation.

Authors:  Saori Nishio; Masahiko Hatano; Michio Nagata; Shigeo Horie; Takao Koike; Takeshi Tokuhisa; Toshio Mochizuki
Journal:  J Clin Invest       Date:  2005-03-03       Impact factor: 14.808

4.  Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Authors:  Aravind Subramanian; Pablo Tamayo; Vamsi K Mootha; Sayan Mukherjee; Benjamin L Ebert; Michael A Gillette; Amanda Paulovich; Scott L Pomeroy; Todd R Golub; Eric S Lander; Jill P Mesirov
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-30       Impact factor: 11.205

5.  Comparison of the morphology of renal cysts and cystic renal tumors.

Authors:  Judit Kovács; Szabolcs Gomba; Mónika Zilahy
Journal:  Pathol Oncol Res       Date:  1997       Impact factor: 3.201

6.  Depletion of PKD1 by an antisense oligodeoxynucleotide induces premature G1/S-phase transition.

Authors:  Hyunho Kim; Yoonhee Bae; Woocho Jeong; Curie Ahn; Seongman Kang
Journal:  Eur J Hum Genet       Date:  2004-06       Impact factor: 4.246

Review 7.  How shelterin protects mammalian telomeres.

Authors:  Wilhelm Palm; Titia de Lange
Journal:  Annu Rev Genet       Date:  2008       Impact factor: 16.830

8.  Essential role of limiting telomeres in the pathogenesis of Werner syndrome.

Authors:  Sandy Chang; Asha S Multani; Noelia G Cabrera; Maria L Naylor; Purnima Laud; David Lombard; Sen Pathak; Leonard Guarente; Ronald A DePinho
Journal:  Nat Genet       Date:  2004-07-04       Impact factor: 38.330

9.  Telomere shortening exposes functions for the mouse Werner and Bloom syndrome genes.

Authors:  Xiaobing Du; Johnny Shen; Nishan Kugan; Emma E Furth; David B Lombard; Catherine Cheung; Sally Pak; Guangbin Luo; Robert J Pignolo; Ronald A DePinho; Leonard Guarente; F Brad Johnson
Journal:  Mol Cell Biol       Date:  2004-10       Impact factor: 4.272

10.  A transcriptional network in polycystic kidney disease.

Authors:  Lionel Gresh; Evelyne Fischer; Andreas Reimann; Myriam Tanguy; Serge Garbay; Xinli Shao; Thomas Hiesberger; Laurence Fiette; Peter Igarashi; Moshe Yaniv; Marco Pontoglio
Journal:  EMBO J       Date:  2004-03-18       Impact factor: 11.598

View more
  6 in total

1.  Dietary Interventions in Autosomal Dominant Polycystic Kidney Disease.

Authors:  Lauren Pickel; Ioan-Andrei Iliuta; James Scholey; York Pei; Hoon-Ki Sung
Journal:  Adv Nutr       Date:  2021-11-10       Impact factor: 8.701

Review 2.  Hepatocyte nuclear factor 1 beta: A perspective in cancer.

Authors:  Shubhra Chandra; Srilakshmi Srinivasan; Jyotsna Batra
Journal:  Cancer Med       Date:  2021-02-13       Impact factor: 4.452

3.  Roles of telomeres and telomerase in age‑related renal diseases (Review).

Authors:  Haili Li; Boyuan Wang; Daoqun Li; Jinyuan Li; Ying Luo; Juhua Dan
Journal:  Mol Med Rep       Date:  2020-12-10       Impact factor: 2.952

4.  VPS33B modulates c-Myc/p53/miR-192-3p to target CCNB1 suppressing the growth of non-small cell lung cancer.

Authors:  Jiahao Liu; Yinghao Wen; Zhen Liu; Shu Liu; Ping Xu; Yan Xu; Shuting Deng; Shulu Hu; Rongcheng Luo; Jingwen Jiang; Guifang Yu
Journal:  Mol Ther Nucleic Acids       Date:  2020-11-17       Impact factor: 8.886

Review 5.  The emerging roles of Gα12/13 proteins on the hallmarks of cancer in solid tumors.

Authors:  Suhail Ahmed Kabeer Rasheed; Lalitha Vaishnavi Subramanyan; Wei Kiang Lim; Udhaya Kumari Udayappan; Mei Wang; Patrick J Casey
Journal:  Oncogene       Date:  2021-10-23       Impact factor: 9.867

6.  Protein Kinase D 1 Predicts Poor Treatment Response and Unfavorable Survival of Bortezomib-Based Treatment, and Its Knockdown Enhances Drug Sensitivity to Bortezomib in Multiple Myeloma.

Authors:  Xuesong Li; Ying Yang; Xue Yi
Journal:  Technol Cancer Res Treat       Date:  2020 Jan-Dec
  6 in total

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