Haemophagocytic lymphohistiocytosis caused by GATA2 deficiency: a report on three patients.

BACKGROUND: Haemophagocytic lymphohistiocytosis (HLH) is a syndrome that occurs in patients with severe systemic hyperinflammation. GATA binding protein 2 (GATA2) is a transcription factor and key component in haematopoiesis and stem cell biology. CASE PRESENTATION: Three patients with HLH, one with Mycobacterium avium infection, one with Epstein-Barr virus (EBV) infection, and one with Mycobacterium kansasii infection, were all subsequently found to have a defect in the GATA2 gene through genetic testing. CONCLUSIONS: GATA2 deficiency syndrome should be considered in patients with myelodysplastic syndrome, nontuberculous mycobacterium infection and HLH. In addition, the GATA2 gene variant may be a genetic defect that could be the cause of the primary HLH. However, further studies are needed to confirm the role of GATA2 pathogenic variants in the pathogenesis of HLH.

An intricate regulatory circuit between FLI1 and GATA1/GATA2/LDB1/ERG dictates erythroid vs. megakaryocytic differentiation.

During hematopoiesis, megakaryocytic erythroid progenitors (MEPs) differentiate into megakaryocytic or erythroid lineages in response to specific transcriptional factors, yet the regulatory mechanism remains to be elucidated. Using the MEP­like cell line HEL western blotting, RT­qPCR, lentivirus­mediated downregulation, flow cytometry as well as chromatin immunoprecipitation (ChIp) assay demonstrated that the E26 transformation­specific (ETS) transcription factor friend leukemia integration factor 1 (Fli­1) inhibits erythroid differentiation. The present study using these methods showed that while FLI1­mediated downregulation of GATA binding protein 1 (GATA1) suppresses erythropoiesis, its direct transcriptional induction of GATA2 promotes megakaryocytic differentiation. GATA1 is also involved in megakaryocytic differentiation through regulation of GATA2. By contrast to FLI1, the ETS member erythroblast transformation­specific­related gene (ERG) negatively controls GATA2 and its overexpression through exogenous transfection blocks megakaryocytic differentiation. In addition, FLI1 regulates expression of LIM Domain Binding 1 (LDB1) during erythroid and megakaryocytic commitment, whereas shRNA­mediated depletion of LDB1 downregulates FLI1 and GATA2 but increases GATA1 expression. In agreement, LDB1 ablation using shRNA lentivirus expression blocks megakaryocytic differentiation and modestly suppresses erythroid maturation. These results suggested that a certain threshold level of LDB1 expression enables FLI1 to block erythroid differentiation. Overall, FLI1 controlled the commitment of MEP to either erythroid or megakaryocytic lineage through an intricate regulation of GATA1/GATA2, LDB1 and ERG, exposing multiple targets for cell fate commitment and therapeutic intervention.

Lineage specific transcription factor waves reprogram neuroblastoma from self-renewal to differentiation.

Temporal regulation of super-enhancer (SE) driven transcription factors (TFs) underlies normal developmental programs. Neuroblastoma (NB) arises from an inability of sympathoadrenal progenitors to exit a self-renewal program and terminally differentiate. To identify SEs driving TF regulators, we use all-trans retinoic acid (ATRA) to induce NB growth arrest and differentiation. Time-course H3K27ac ChIP-seq and RNA-seq reveal ATRA coordinated SE waves. SEs that decrease with ATRA link to stem cell development (MYCN, GATA3, SOX11). CRISPR-Cas9 and siRNA verify SOX11 dependency, in vitro and in vivo. Silencing the SOX11 SE using dCAS9-KRAB decreases SOX11 mRNA and inhibits cell growth. Other TFs activate in sequential waves at 2, 4 and 8 days of ATRA treatment that regulate neural development (GATA2 and SOX4). Silencing the gained SOX4 SE using dCAS9-KRAB decreases SOX4 expression and attenuates ATRA-induced differentiation genes. Our study identifies oncogenic lineage drivers of NB self-renewal and TFs critical for implementing a differentiation program.

[Gene Profile and Clinical Significance of Concomitant Mutations in CN-AML Patients with CEBPA Mutation].

OBJECTIVE: To analyze the occurrence of concomitant gene mutations in cytogenetically normal acute myeloid leukemia (CN-AML) patients with CEBPA mutation and its impact on the clinical characteristics and prognosis of the patients. METHODS: 151 newly diagnosed patients with CN-AML in the Second Hospital of Shanxi Medical University from June 2013 to June 2020 were analyzed retrospectively. 34 common genetic mutations associated with hematologic malignancies were detected by next-generation sequencing technology. The occurrence of concomitant gene mutations in patients with CEBPA positive and negative groups was compared, and the correlation between concomitant mutations in different functional groups and the clinical characteristics and prognosis of CN-AML patients with CEBPA mutation was analyzed. RESULTS: In 151 patients with CN-AML, 55 (36.42%) were positive for CEBPA mutation (including 36 cases of CEBPAdm and 19 cases of CEBPAsm), of which 41 (74.55%) had co-mutations with other genes. The main mutated genes were GATA2 (25.45%, 14/55), TET2 (21.82%, 12/55), FLT3 (20.00%, 11/55), NRAS (12.73%, 7/55) and WT1 (9.09%, 9/55), etc. Some cases had two or more concomitant gene mutations. Grouping the mutant genes according to their functions showed that CEBPA+ group had lower mutation rates of histone methylation (P =0.002) and chromatin modification genes (P =0.002, P =0.033), and higher mutation rates of transcription factors (P =0.037) than CEBPA- group. In 55 patients with CEBPA+ CN-AML, the platelet count at diagnosis in signaling pathway gene mutation-positive group was lower than that in the mutation-negative group (P =0.005), the proportion of bone marrow blasts in transcription factor mutation-positive group was higher than that in the mutation-negative group (P =0.003), and the onset age in DNA methylation gene mutation-positive group and chromatin modifier mutation-positive group was older than that in the mutation-negative group, respectively (P =0.002, P =0.008). DFS of CEBPA+ CN-AML patients in signaling pathway gene mutation group was shorter than that in signaling pathway gene mutation-negative group (median DFS: 12 months vs not reached) (P =0.034). Compared with DNA methylation gene mutation-negative group, CEBPA+ CN-AML patients with DNA methylation gene mutation had lower CR rate (P =0.025) significantly shorter OS and DFS (median OS: 20 months vs not reached, P =0.006; median DFS: 15 months vs not reached, P =0.049). OS in patients with histone methylation gene mutation was significantly shorter than that in the histone methylation gene mutation-negative group (median OS: 12 months vs 40 months) (P =0.008). Multivariate analysis of prognostic factors showed that the proportion of bone marrow blasts (P =0.046), concomitant DNA methylation gene mutation (P =0.006) and histone methylation gene mutation (P =0.036) were independent risk factors affecting the prognosis. CONCLUSION: CN-AML patients with CEBPA mutation have specific concomitant gene profile, and the concomitant mutations of different functional genes have a certain impact on the clinical characteristics and prognosis of the patients.

PML::RARA and GATA2 proteins interact via DNA templates to induce aberrant self-renewal in mouse and human hematopoietic cells.

The underlying mechanism(s) by which the PML::RARA fusion protein initiates acute promyelocytic leukemia is not yet clear. We defined the genomic binding sites of PML::RARA in primary mouse and human hematopoietic progenitor cells with V5-tagged PML::RARA, using anti-V5-PML::RARA chromatin immunoprecipitation sequencing and CUT&RUN approaches. Most genomic PML::RARA binding sites were found in regions that were already chromatin-accessible (defined by ATAC-seq) in unmanipulated, wild-type promyelocytes, suggesting that these regions are "open" prior to PML::RARA expression. We found that GATA binding motifs, and the direct binding of the chromatin "pioneering factor" GATA2, were significantly enriched near PML::RARA binding sites. Proximity labeling studies revealed that PML::RARA interacts with ~250 proteins in primary mouse hematopoietic cells; GATA2 and 33 others require PML::RARA binding to DNA for the interaction to occur, suggesting that binding to their cognate DNA target motifs may stabilize their interactions. In the absence of PML::RARA, Gata2 overexpression induces many of the same epigenetic and transcriptional changes as PML::RARA. These findings suggested that PML::RARA may indirectly initiate its transcriptional program by activating Gata2 expression: Indeed, we demonstrated that inactivation of Gata2 prior to PML::RARA expression prevented its ability to induce self-renewal. These data suggested that GATA2 binding creates accessible chromatin regions enriched for both GATA and Retinoic Acid Receptor Element motifs, where GATA2 and PML::RARA can potentially bind and interact with each other. In turn, PML::RARA binding to DNA promotes a feed-forward transcriptional program by positively regulating Gata2 expression. Gata2 may therefore be required for PML::RARA to establish its transcriptional program.

[Clinical Characteristics and Prognosis of Acute Myeloid Leukemia Patients with GATA2 Gene Mutation].

OBJECTIVE: To investigate the clinical characteristics, coexisting gene mutations and prognosis of acute myeloid leukemia (AML) patients with GATA2 gene mutation. METHODS: The clinical data of 370 newly diagnosed AML patients treated in our hospital from January 2008 to January 2021 was analyzed retrospectively, the next-generation sequencing technology was used to detect the mutated genes in those patients. The clinical characteristics of AML patients with GATA2 mutations, the co-mutated genes of GATA2 mutations, and the effect of GATA2 mutation on prognosis were analyzed. RESULTS: A total of 23 patients (6.2%) with GATA2 mutation was detected in 370 AML patients. Compared with GATA2 non-mutation group, patients in GATA2 mutation group were mostly normal karyotypes (P =0.037) and in low-risk cytogenetic stratification (P =0.028). The incidence of CEBPAdm and NRAS in GATA2 mutation group was significantly higher than that in GATA2 non-mutation group (P =0.010, P =0.009). There were no statistically significant differences between the two groups in terms of sex, age, white blood cell count (WBC), platelet count, hemoglobin, bone marrow (BM) blast, induction chemotherapy regimen and CR rate (P >0.05). Among the 23 patients with GATA2 mutation, the most common co-mutated genes were CEBPAdm, NRAS (both 39.1%), NPM1, FLT3, TET2, WT1 (all 17.4%), ASXL1 and IDH1 (both 13.0%). Survival analysis showed that there was no statistical difference in 5-year overall survival (OS) and leukemia-free survival (LFS) rates between patients with and without GATA2 mutations in whole cohort (n=370) (P =0.306, P =0.308). Among 306 patients without CEBPAdm, the 5-year OS and LFS rates in GATA2 mutation group showed an increasing trend compared with GATA2 non-mutation group, but the difference was not statistically significant (P =0.092, P =0.056). Among 64 patients with CEBPAdm, there was no statistically significant difference in 5-year OS rate between the GATA2 mutation group and the GATA2 non-mutation group (P =0.104), but the 5-year LFS rate of the GATA2 mutation group was significantly decreased (P =0.047). Among the 23 patients with GATA2 mutation, 16 cases received the "3+7" induction regimen, of which 12 cases received allogeneic hematopoietic stem cell transplantation (allo-HSCT); 7 cases received the "DCAG" induction regimen, of which 3 cases received allo-HSCT. The CR rate was not statistically different between the "3+7" regimen group and the "DCAG" regimen group (P =1.000). The 5-year OS rate and LFS rate in the transplantation group were significantly higher than the chemotherapy group (P =0.021, P =0.020). CONCLUSION: GATA2 mutation is more common in AML patients with normal karyotype and low-risk cytogenetic stratification, and it is significantly associated with CEBPAdm and NRAS co-mutations. The prognostic significance of GATA2 is influenced by CEBPAdm. The choice of "3+7" or "DCAG" induction regimen in patients with GATA2 mutation does not affect their CR rate, while the choice of allo-HSCT can significantly improved the prognosis compared with chemotherapy only.

Long noncoding RNA GATA2AS influences human erythropoiesis by transcription factor and chromatin landscape modulation.

ABSTRACT: Long noncoding RNAs (lncRNAs) are extensively expressed in eukaryotic cells and have been revealed to be important for regulating cell differentiation. Many lncRNAs have been found to regulate erythroid differentiation in the mouse. However, given the low sequence conservation of lncRNAs between mouse and human, our understanding of lncRNAs in human erythroid differentiation remains incomplete. lncRNAs are often transcribed opposite to protein coding genes and regulate their expression. Here, we characterized a human erythrocyte-expressed lncRNA, GATA2AS, which is transcribed opposite to erythroid transcription regulator GATA2. GATA2AS is a 2080-bp long, primarily nucleus-localized noncoding RNA that is expressed in erythroid progenitor cells and decreases during differentiation. Knockout of GATA2AS in human HUDEP2 erythroid progenitor cells using CRISPR-Cas9 genome editing to remove the transcription start site accelerated erythroid differentiation and dysregulated erythroblast gene expression. We identified GATA2AS as a novel GATA2 and HBG activator. Chromatin isolation by RNA purification showed that GATA2AS binds to thousands of genomic sites and colocalizes at a subset of sites with erythroid transcription factors including LRF and KLF1. RNA pulldown and RNA immunoprecipitation confirmed interaction between GATA2AS and LRF and KLF1. Chromatin immunoprecipitation sequencing (ChIP-seq) showed that knockout of GATA2AS reduces binding of these transcription factors genome wide. Assay for transposase-accessible chromatin sequencing (ATAC-seq) and H3K27ac ChIP-seq showed that GATA2AS is essential to maintain the chromatin regulatory landscape during erythroid differentiation. Knockdown of GATA2AS in human primary CD34+ cells mimicked results in HUDEP2 cells. Overall, our results implicate human-specific lncRNA GATA2AS as a regulator of erythroid differentiation by influencing erythroid transcription factor binding and the chromatin regulatory landscape.

Pathogenic GATA2 genetic variants utilize an obligate enhancer mechanism to distort a multilineage differentiation program.

Mutations in genes encoding transcription factors inactivate or generate ectopic activities to instigate pathogenesis. By disrupting hematopoietic stem/progenitor cells, GATA2 germline variants create a bone marrow failure and leukemia predisposition, GATA2 deficiency syndrome, yet mechanisms underlying the complex phenotypic constellation are unresolved. We used a GATA2-deficient progenitor rescue system to analyze how genetic variation influences GATA2 functions. Pathogenic variants impaired, without abrogating, GATA2-dependent transcriptional regulation. Variants promoted eosinophil and repressed monocytic differentiation without regulating mast cell and erythroid differentiation. While GATA2 and T354M required the DNA-binding C-terminal zinc finger, T354M disproportionately required the N-terminal finger and N terminus. GATA2 and T354M activated a CCAAT/Enhancer Binding Protein-ε (C/EBPε) enhancer, creating a feedforward loop operating with the T-cell Acute Lymphocyte Leukemia-1 (TAL1) transcription factor. Elevating C/EBPε partially normalized hematopoietic defects of GATA2-deficient progenitors. Thus, pathogenic germline variation discriminatively spares or compromises transcription factor attributes, and retaining an obligate enhancer mechanism distorts a multilineage differentiation program.

Perturbed collagen metabolism underlies lymphatic recanalization failure in Gata2 heterozygous deficient mice.

Lymphedema has become a global health issue following the growing number of cancer surgeries. Curative or supportive therapeutics have long been awaited for this refractory condition. Transcription factor GATA2 is crucial in lymphatic development and maintenance, as GATA2 haploinsufficient disease often manifests as lymphedema. We recently demonstrated that Gata2 heterozygous deficient mice displayed delayed lymphatic recanalization upon lymph node resection. However, whether GATA2 contributes to lymphatic regeneration by functioning in the damaged lymph vessels' microenvironment remains explored. In this study, our integrated analysis demonstrated that dermal collagen fibers were more densely accumulated in the Gata2 heterozygous deficient mice. The collagen metabolism-related transcriptome was perturbed, and collagen matrix contractile activity was aberrantly increased in Gata2 heterozygous embryonic fibroblasts. Notably, soluble collagen placement ameliorated delayed lymphatic recanalization, presumably by modulating the stiffness of the extracellular matrix around the resection site of Gata2 heterozygous deficient mice. Our results provide valuable insights into mechanisms underlying GATA2-haploinsufficiency-mediated lymphedema and shed light on potential therapeutic avenues for this intractable disease.

Dysregulated expression of GATA2 and GATA6 transcription factors in adenomyosis: implications for impaired endometrial receptivity.

OBJECTIVE: To study the effect of adenomyosis on the localized expression of the GATA binding proteins 2 and 6 (GATA2 and GATA6) zinc-finger transcription factors that are involved in proliferation of hematopoietic and endocrine cell lineages, cell differentiation, and organogenesis, potentially leading to impaired endometrial implantation. DESIGN: Laboratory based experimental study. SETTING: Academic hospital and laboratory. PATIENTS: Human endometrial stromal cells (HESCs) of reproductive age patients, 18-45 years of age, with adenomyosis were compared with patients with no pathology and leiomyomatous uteri as controls (n = 4 in each group, respectively). Additionally, midsecretory phase endometrial sections were obtained from patients with adenomyosis and control patients with leiomyoma (n = 8 in each group, respectively). INTERVENTIONS: GATA2 and GATA6 immunohistochemistry and H-SCORE were performed on the midsecretory phase endometrial sections from adenomyosis and leiomyoma control patients (n = 8 each, respectively). Control and adenomyosis patient HESC cultures were treated with placebo or 10-8 M estradiol (E2), or decidualization media (EMC) containing 10-8 M E2, 10-7 M medroxyprogesterone acetate, and 5 × 10-5 M cAMP for 6 and 10 days. Additionally, control HESC cultures (n = 4) were transfected with scrambled small interfering RNA (siRNA) (control) or GATA2-specific siRNAs for 6 days while adenomyosis HESC cultures (n = 4) were transfected with human GATA2 expression vectors to silence or induce GATA2 overexpression. MAIN OUTCOME MEASURES: Immunohistochemistry was performed to obtain GATA2 and GATA6 H-SCORES in adenomyosis vs. control patient endometrial tissue. Expression of GATA2, GATA6, insulin-like growth factor-binding protein 1 (IGFBP1), prolactin (PRL), progesterone receptor (PGR), estrogen receptor 1 (ESR1), leukemia inhibitory factor (LIF), and Interleukin receptor 11 (IL11R) messenger RNA (mRNA) levels were analyzed using by qPCR with normalization to ACTB. Silencing and overexpression experiments also had the corresponding mRNA levels of the above factors analyzed. Western blot analysis was performed on isolated proteins from transfection experiments. RESULTS: Immunohistochemistry revealed an overall fourfold lower GATA2 and fourfold higher GATA6 H-SCORE level in the endometrial stromal cells of patients with adenomyosis vs. controls. Decidual induction with EMC resulted in significantly lower GATA2, PGR, PRL and IGFBP1 mRNA levels in HESC cultures from patients with adenomyosis patient vs. controls. Leukemia inhibitory factor and IL11R mRNA levels were also significantly dysregulated in adenomyosis HESCs compared with controls. . Silencing of GATA2 expression in control HESCs induced an adenomyosis-like state with significant reductions in GATA2, increases in GATA6 and accompanying aberrations in PGR, PRL, ESR1 and LIF levels. Conversely, GATA2 overexpression via vector in adenomyosis HESCs caused partial restoration of the defective decidual response with significant increases in GATA2, PGR, PRL and LIF expression. CONCLUSION: In-vivo and in-vitro experiment results demonstrate that there is an overall inverse relationship between endometrial GATA2 and GATA6 levels in patients with adenomyosis who have diminished GATA2 levels and concurrently elevated GATA6 levels. Additionally, lower GATA2 and higher GATA6 levels, together with aberrant levels of important receptors and implantation factors, such as ESR1, PGR, IGFBP1, PRL, LIF, and IL11R mRNA in HESCs from patients with adenomyosis or GATA2-silenced control HESCs, support impaired decidualization. These effects were partially restored with GATA2 overexpression in adenomyosis HESCs, demonstrating a potential therapeutic target.

Melatonin suppresses tumor proliferation and metastasis by targeting GATA2 in endometrial cancer.

Endometrial cancer (EC) is a reproductive system disease that occurs in perimenopausal and postmenopausal women. However, its etiology is unclear. Melatonin (MT) has been identified as a therapeutic agent for EC; however, its exact mechanism remains unclear. In the present study, we determined that GATA-binding protein 2 (GATA2) is expressed at low levels in EC and regulated by MT. MT upregulates the expression of GATA2 through MT receptor 1A (MTNR1A), whereas GATA2 can promote the expression of MTNR1A by binding to its promoter region. In addition, in vivo and in vitro experiments showed that MT inhibited the proliferation and metastasis of EC cells by upregulating GATA2 expression. The protein kinase B (AKT) pathway was also affected. In conclusion, these findings suggest that MT and GATA2 play significant roles in EC development.

Linking GATA2 to myeloid dysplasia and complex cytogenetics in adult myelodysplastic neoplasm and acute myeloid leukemia.

ABSTRACT: GATA binding protein 2 (GATA2) is a conserved zinc finger transcription factor that regulates the emergence and maintenance of complex genetic programs driving development and function of hematopoietic stem and progenitor cells (HSPCs). Patients born with monoallelic GATA2 mutations develop myelodysplastic neoplasm (MDS) and acute myeloid leukemia (AML), whereas acquired GATA2 mutations are reported in 3% to 5% of sporadic AML cases. The mechanisms by which aberrant GATA2 activity promotes MDS and AML are incompletely understood. Efforts to understand GATA2 in basic biology and disease will be facilitated by the development of broadly efficacious antibodies recognizing physiologic levels of GATA2 in diverse tissue types and assays. Here, we purified a polyclonal anti-GATA2 antibody and generated multiple highly specific anti-GATA2 monoclonal antibodies, optimized them for immunohistochemistry on patient bone marrow bioosy samples, and analyzed GATA2 expression in adults with healthy bone marrow, MDS, and acute leukemia. In healthy bone marrow, GATA2 was detected in mast cells, subsets of CD34+ HSPCs, E-cadherin-positive erythroid progenitors, and megakaryocytes. In MDS, GATA2 expression correlates with bone marrow blast percentage, positively correlates with myeloid dysplasia and complex cytogenetics, and is a nonindependent negative predictor of overall survival. In acute leukemia, the percent of GATA2+ blasts closely associates with myeloid lineage, whereas a subset of lymphoblastic and undifferentiated leukemias with myeloid features also express GATA2. However, the percent of GATA2+ blasts in AML is highly variable. Elevated GATA2 expression in AML blasts correlates with peripheral neutropenia and complex AML cytogenetics but, unlike in MDS, does not predict survival.

ATRX is a predictive marker for endocrinotherapy and chemotherapy resistance in HER2-/HR+ breast cancer through the regulation of the AR, GLI3 and GATA2 transcriptional network.

Drug resistance in breast cancer (BC) is a clinical challenge. Exploring the mechanism and identifying a precise predictive biomarker for the drug resistance in BC is critical. Three first-line drug (paclitaxel, doxorubicin and tamoxifen) resistance datasets in BC from GEO were merged to obtain 1,461 differentially expressed genes for weighted correlation network analysis, resulting in identifying ATRX as the hub gene. ATRX is a chromatin remodelling protein, therefore, ATRX-associated transcription factors were explored, thereby identifying the network of AR, GLI3 and GATA2. GO and KEGG analyses revealed immunity, transcriptional regulation and endocrinotherapy/chemotherapy resistance were enriched. Moreover, CIBERSORT revealed immunity regulation was inhibited in the resistance group. ssGSEA showed a significantly lower immune status in the ATRX-Low group compared to the ATRX-High group. Furthermore, the peaks of H3K9me3 ChIP-seq on the four genes were higher in normal tissues than in BC tissues. Notably, the frequency of ATRX mutation was higher than BRCA in BC. Moreover, depressed ATRX revealed worse overall survival and disease-free survival in the human epidermal growth factor receptor 2 (HER2)-/hormone receptor (HR)+ BC. Additionally, depressed ATRX predicted poor results for patients who underwent endocrinotherapy or chemotherapy in the HER2-/HR+ BC subgroup. A nomogram based on ATRX, TILs and ER exhibited a significantly accurate survival prediction ability. Importantly, overexpression of ATRX significantly inhibited the IC50 of the three first-line drugs on MCF-7 cell. Thus, ATRX is an efficient predictive biomarker for endocrinotherapy and chemotherapy resistance in HER2-/HR+ BC and acts by suppressing the AR, GLI3 and GATA2 transcriptional network.

Hepatitis B doubly spliced protein (HBDSP) promotes hepatocellular carcinoma cell apoptosis via ETS1/GATA2/YY1-mediated p53 transcription.

IMPORTANCE: Hepatitis B virus (HBV) spliced variants are associated with viral persistence or pathogenicity. Hepatitis B doubly spliced protein (HBDSP), which has been previously reported as a pleiotropic transactivator protein, can potentially serve as an HBV virulence factor. However, the underlying mechanisms of HBDSP in HBV-associated liver diseases remain to be elucidated. In this study, we revealed that HBDSP promotes cellular apoptosis and induces wt-p53-dependent apoptotic signaling pathway in wt-p53 hepatocellular cells by transactivating p53 transcription, and increases the release of HBV progeny. Therefore, HBDSP may promote the HBV particles release through wt-p53-dependent hepatocellular apoptosis. Our findings suggest that blocking HBDSP-induced wt-p53-dependent apoptosis might have therapeutic values for chronic hepatitis B.

Abundant binary promoter switches in lineage-determining transcription factors indicate a digital component of cell fate determination.

Previous studies of the murine Ly49 and human KIR gene clusters implicated competing sense and antisense promoters in the control of variegated gene expression. In the current study, an examination of transcription factor genes defines an abundance of convergent and divergent sense/antisense promoter pairs, suggesting that competing promoters may control cell fate determination. Differentiation of CD34+ hematopoietic progenitors in vitro shows that cells with GATA1 antisense transcription have enhanced GATA2 transcription and a mast cell phenotype, whereas cells with GATA2 antisense transcription have increased GATA1 transcripts and an erythroblast phenotype. Detailed analyses of the AHR and RORC genes demonstrate the ability of competing promoters to act as binary switches and the association of antisense transcription with an immature/progenitor cell phenotype. These data indicate that alternative cell fates generated by promoter competition in lineage-determining transcription factors contribute to the programming of cell differentiation.

Identification of MARK2, CCDC71, GATA2, and KLRC3 as candidate diagnostic genes and potential therapeutic targets for repeated implantation failure with antiphospholipid syndrome by integrated bioinformatics analysis and machine learning.

Background: Antiphospholipid syndrome (APS) is a group of clinical syndromes of thrombosis or adverse pregnancy outcomes caused by antiphospholipid antibodies, which increase the incidence of in vitro fertilization failure in patients with infertility. However, the common mechanism of repeated implantation failure (RIF) with APS is unclear. This study aimed to search for potential diagnostic genes and potential therapeutic targets for RIF with APS. Methods: To obtain differentially expressed genes (DEGs), we downloaded the APS and RIF datasets separately from the public Gene Expression Omnibus database and performed differential expression analysis. We then identified the common DEGs of APS and RIF. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were performed, and we then generated protein-protein interaction. Furthermore, immune infiltration was investigated by using the CIBERSORT algorithm on the APS and RIF datasets. LASSO regression analysis was used to screen for candidate diagnostic genes. To evaluate the diagnostic value, we developed a nomogram and validated it with receiver operating characteristic curves, then analyzed these genes in the Comparative Toxicogenomics Database. Finally, the Drug Gene Interaction Database was searched for potential therapeutic drugs, and the interactions between drugs, genes, and immune cells were depicted with a Sankey diagram. Results: There were 11 common DEGs identified: four downregulated and seven upregulated. The common DEG analysis suggested that an imbalance of immune system-related cells and molecules may be a common feature in the pathophysiology of APS and RIF. Following validation, MARK2, CCDC71, GATA2, and KLRC3 were identified as candidate diagnostic genes. Finally, Acetaminophen and Fasudil were predicted as two candidate drugs. Conclusion: Four immune-associated candidate diagnostic genes (MARK2, CCDC71, GATA2, and KLRC3) were identified, and a nomogram for RIF with APS diagnosis was developed. Our findings may aid in the investigation of potential biological mechanisms linking APS and RIF, as well as potential targets for diagnosis and treatment.