Extend the benchmarking indel set by manual review using the individual cell line sequencing data from the Sequencing Quality Control 2 (SEQC2) project.

Accurate indel calling plays an important role in precision medicine. A benchmarking indel set is essential for thoroughly evaluating the indel calling performance of bioinformatics pipelines. A reference sample with a set of known-positive variants was developed in the FDA-led Sequencing Quality Control Phase 2 (SEQC2) project, but the known indels in the known-positive set were limited. This project sought to provide an enriched set of known indels that would be more translationally relevant by focusing on additional cancer related regions. A thorough manual review process completed by 42 reviewers, two advisors, and a judging panel of three researchers significantly enriched the known indel set by an additional 516 indels. The extended benchmarking indel set has a large range of variant allele frequencies (VAFs), with 87% of them having a VAF below 20% in reference Sample A. The reference Sample A and the indel set can be used for comprehensive benchmarking of indel calling across a wider range of VAF values in the lower range. Indel length was also variable, but the majority were under 10 base pairs (bps). Most of the indels were within coding regions, with the remainder in the gene regulatory regions. Although high confidence can be derived from the robust study design and meticulous human review, this extensive indel set has not undergone orthogonal validation. The extended benchmarking indel set, along with the indels in the previously published known-positive set, was the truth set used to benchmark indel calling pipelines in a community challenge hosted on the precisionFDA platform. This benchmarking indel set and reference samples can be utilized for a comprehensive evaluation of indel calling pipelines. Additionally, the insights and solutions obtained during the manual review process can aid in improving the performance of these pipelines.

Differentially expressed long non-coding RNAs and mRNAs of cadmium exposure on learning disability of offspring rats.

BACKGROUND: Cadmium (Cd) exposure has been found to have detrimental effects on the development of the central nervous system and cognitive ability in children. However, there is ongoing debate regarding the impact of maternal Cd exposure on the cognitive ability of offspring. In this study, we aimed to investigate the mechanisms underlying the influence of maternal Cd exposure on the cognitive ability of offspring rats. METHODS: Here, we constructed a model of cadmium poisoning in first-generation rats through gavage. The cognitive and memory abilities of its offspring were evaluated by water maze experiment. Then, we used the gene chip to find out the key genes, and we performed qRT-PCR detection of these genes. Subsequently, enrichment analysis was employed to identify pathways. Finally, we constructed a co-expression network consisting of LncRNAs and mRNAs to elucidate the biological functions and regulatory mechanisms of LncRNAs. RESULTS: The results of the water maze trial demonstrated that the offspring of rats exposed to cadmium in the first generation had reduced cognitive and memory abilities. Through an analysis of gene expression in the hippocampus of the cadmium-treated rats' offspring and the control group, we identified a correlation between the islet secretion pathway and the cognitive impairment observed in the offspring. Utilizing various algorithms, we identified Cpa1 and Prss1 as potential key genes associated with the cognitive impairment caused by cadmium. The results of qRT-PCR demonstrated a decrease in the expression levels of these genes in the hippocampus of the cadmium-treated rats' offspring. In addition, in the co-expression network, we observed that Cpa1 was co-expressed with 11 LncRNAs, while Prss1 was associated with 4 unexplored LncRNAs. Furthermore, we conducted an analysis to examine the relationship between Cpa1, Prss1-related transcription factors, and LncRNAs. CONCLUSION: Overall, this study provides novel insights into the molecular effects of first generation Cd exposure on the cognitive ability of offspring. The target genes and signaling pathways investigated in this study could serve as potential targets for improving neurodevelopment and cognitive ability in children.

Comparison of efficacy between unilateral biportal endoscopic lumbar fusion versus minimally invasive transforaminal lumbar fusion in the treatment of lumbar degenerative diseases: A systematic review and meta-analysis.

BACKGROUND: To evaluate the clinical efficacy and prognosis of unilateral biportal endoscopic lumbar fusion (ULIF) and minimally invasive transforaminal lumbar fusion (MIS-TLIF) for lumbar degenerative diseases. METHODS: Chinese and English databases were retrieved for the period from database creation to December 31, 2022. Case-control studies on unilateral biportal endoscopic lumbar fusion were collected. The observation indexes consisted of operation times, intraoperative blood loss, postoperative drainage volume, length of hospital stay, postoperative pain score, postoperative oswestry disability index score, postoperative MacNab excellent and good rate, imaging fusion rate at the last follow-up, and complications. The NO rating table was employed to assess the quality of the included literature, and a meta-analysis was conducted using Revman5.4.1 and Stata17. RESULTS: Ten studies with 738 surgical patients were considered, including 347 patients in the ULIF group and 391 in the MIS-TLIF group. This Meta-analysis demonstrated statistically significant differences in mean operation duration, intraoperative blood loss, postoperative drainage volume, length of hospital stay, and early postoperative (1-2W) visual analogue scale/score (VAS) scores for back pain. No significant differences were observed in the final follow-up postoperative VAS scores for back pain, postoperative leg VAS score, postoperative oswestry disability index score, excellent and good rate of postoperative modified MacNab, imaging fusion rate, and complications. CONCLUSION: Compared with the MIS-TLIF group, the ULIF group had longer operation time, lower intraoperative blood loss and postoperative drainage volume, lower lumbar VAS score in the early postoperative period, and shorter hospital stay. ULIF is less invasive than traditional MIS-TLIF, making it a trustworthy surgical option for lumbar degenerative diseases with comparable fusion efficiency, superior MacNab rate, and complication rate.

Wearing individualized 3D printed oral stent to protect normal tissues in patients with nasopharyngeal carcinoma during radiotherapy.

PURPOSE: To demonstrate a new individualized 3D printed oral stent in radiotherapy of nasopharyngeal carcinoma (NPC) patients and carry out a comparative analysis combining with clinical case. MATERIAL AND METHODS: Thirty NPC patients treated in our institution from September 2021 to October 2022 were prospectively enrolled. An individualized 3D printed oral stent was designed for each patient, and one set of computed tomography (CT) slices were obtained with /without wearing the oral stent, respectively. After delineation of target volumes and organs at risk (OARs) on the two CT slices, we finished two treatment plans by using the same target objectives, critical constraints and plan setup for each patient. Finally, the dose distribution and other dosimetric parameters of target volumes and OARs between the two plans were compared. RESULTS: Tongue volume and tongue length outside of mouth was 10.4 ± 2.5 cm3 and 2.8 ± 0.6 cm, respectively, distance between dorsal surface of oral tongue and plate increased from 0.3 ± 0.3 cm to 2.2 ± 0.5 cm by wearing the oral stent. For the target volume, there was no significant difference. However, Dmax of tongue, tongue tip and periglottis decreased significantly from 6352.6 ± 259.9 cGy to 5994.9 ± 478.9 cGy, 3499.8 ± 250.6 cGy to 3357.7 ± 158.0 cGy and 6345.5 ± 171.0 cGy to 6133.4 ± 263.3 cGy, respectively (p = 0.000); Dmean of tongue, tongue tip and periglottis decreased significantly from 3714.7 ± 204.2 cGy to 3169.7 ± 200.9 cGy, 3060.8 ± 216.2 cGy to 2509.6 ± 196.7 cGy and 3853.3 ± 224.9 cGy to 3079.3 ± 222.0 cGy, respectively (p = 0.000). CONCLUSION: The individualized 3D printed oral stent can reduce the dose of oral tissues and organs, so as to reduce the oral adverse reactions and improve the compliance of patients and the quality of their life. The technique can be used in radiotherapy of NPC patients.

Differences of molecular events driving pathological and radiological progression of lung adenocarcinoma.

BACKGROUND: Ground-glass opacity (GGO)-like lung adenocarcinoma (LUAD) has been detected increasingly in the clinic and its inert property and superior survival indicate unique biological characteristics. However, we do not know much about them, which hampers identification of key reasons for the inert property of GGO-like LUAD. METHODS: Using whole-exome sequencing and RNA sequencing, taking into account both radiological and pathological classifications of the same 197 patients concomitantly, we systematically interrogate genes driving the progression from GGO to solid nodule and potential reasons for the inertia of GGO. Using flow cytometry and IHC, we validated the abundance of immune cells and activity of cell proliferation. FINDINGS: Identifying the differences between GGO and solid nodule, we found adenocarcinoma in situ/minimally invasive adenocarcinoma (AIS/MIA) and GGO-like LUAD exhibited lower TP53 mutation frequency and less active cell proliferation-related pathways than solid nodule in LUAD. Identifying the differences in GGO between AIS/MIA and LUAD, we noticed that EGFR mutation frequency and CNV load were significantly higher in LUAD than in AIS/MIA. Regulatory T cell was also higher in LUAD, while CD8+ T cell decreased from AIS/MIA to LUAD. Finally, we constructed a transcriptomic signature to quantify the development from GGO to solid nodule, which was an independent predictor of patients' prognosis in 11 external LUAD datasets. INTERPRETATION: Our results provide deeper insights into the indolent nature of GGO and provide a molecular basis for the treatment of GGO-like LUAD. FUNDING: This study was supported in part by the National Natural Science Foundation of China (32170657), the National Natural Science Foundation of China (82203037), and Shanghai Sailing Program (22YF1408900).

Unraveling the regulatory network of miRNA expression in Potato Y virus-infected of Nicotiana benthamiana using integrated small RNA and transcriptome sequencing.

Potato virus Y (PVY) disease is a global problem that causes significant damage to crop quality and yield. As traditional chemical control methods are ineffective against PVY, it is crucial to explore new control strategies. MicroRNAs (miRNAs) play a crucial role in plant and animal defense responses to biotic and abiotic stresses. These endogenous miRNAs act as a link between antiviral gene pathways and host immunity. Several miRNAs target plant immune genes and are involved in the virus infection process. In this study, we conducted small RNA sequencing and transcriptome sequencing on healthy and PVY-infected N. benthamiana tissues (roots, stems, and leaves). Through bioinformatics analysis, we predicted potential targets of differentially expressed miRNAs using the N. benthamiana reference genome and the PVY genome. We then compared the identified differentially expressed mRNAs with the predicted target genes to uncover the complex relationships between miRNAs and their targets. This study successfully constructed a miRNA-mRNA network through the joint analysis of Small RNA sequencing and transcriptome sequencing, which unveiled potential miRNA targets and identified potential binding sites of miRNAs on the PVY genome. This miRNA-mRNA regulatory network suggests the involvement of miRNAs in the virus infection process.

Quantitative iTRAQ proteomics reveal the proteome profiles of bone marrow mesenchymal stem cells after cocultures with Schwann cells in vitro.

Background: Bone marrow mesenchymal stem cells (BMSCs) combined with Schwann cells (SCs) represent a better therapeutic cell transplantation strategy for treating spinal cord injury (SCI) than transplantation with BMSCs or SCs alone. In previous studies, we demonstrated that BMSCs are able to differentiate in neuron-like cells when cocultured with SCs. The detailed mechanism underlying SCI repair that occurs during the combined transplantation of BMSCs and SCs has not yet been studied. In this study, we adopted an isobaric tag for relative and absolute quantitation (iTRAQ)-based protein identification/quantification approach to examine the effects of the SC and BMSC coculture process on the BMSCs and then obtained and analyzed the differentially expressed proteins (DEPs) and their possible related pathways. Methods: This study included three groups based on the number of coculture days (i.e., 0, 3, and 7 days). Changes in BMSC protein expression levels were measured using the iTRAQ technique. A bioinformatics analysis of all the data was performed. Results: In total, 6,760 types of proteins were detected, corresponding to 5,181 data points with quantitative information. Of these, a total of 243 DEPs were identified, of which 169 proteins were upregulated and 74 proteins were downregulated. These DEPs were identified by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. Intercellular adhesion molecule-1 (ICAM-1), integrin, and dioxygenase may play crucial roles in the repair of SCI. The data analysis indicates that the relevant biological processes may be regulated by lysosome function, cell adhesion molecules (CAMs), leukocyte transendothelial migration, and the phosphatidylinositol-3-kinase (PI3K) and peroxisome proliferator-activated receptor (PPAR) signaling pathways. Conclusions: The data provided in this study indicate that several molecular mechanisms and signaling pathways are involved in the BMSC and SC coculture process. This information may be useful for the further identification of specific targets and related mechanisms and guide new directions for SCI treatment.

Increased Tumor Intrinsic Growth Potential and Decreased Immune Function Orchestrate the Progression of Lung Adenocarcinoma.

Background: The overall 5-year survival of lung cancer was reported to be only ~15%, with lung adenocarcinoma (LUAD) as the main pathological subtype. Before developing into invasive stages, LUAD undergoes pre-invasive stages of adenocarcinoma in situ (AIS) and minimally invasive adenocarcinoma (MIA), where surgical resection gives an excellent 5-year survival rate. Given the dramatic decline of prognosis from pre-invasive to invasive stages, a deeper understanding of key molecular changes driving the progression of LUAD is highly needed. Methods: In this study, we performed whole-exome sequencing and RNA sequencing on surgically resected 24 AIS, 74 MIA, 99 LUAD specimens, and their adjacent paired normal tissues. Survival data were obtained by follow-up after surgery. Key molecular events were found by comparing the gene expression profiles of tumors with different stages. Finally, to measure the level of imbalance between tumor intrinsic growth potential and immune microenvironment, a tumor progressive (TP) index was developed to predict tumor progression and patients' survival outcome and validated by external datasets. Results: As tumors progressed to more invasive stages, they acquired higher growth potential, mutational frequency of tumor suppressor genes, somatic copy number alterations, and tumor mutation burden, along with suppressed immune function. To better predict tumor progression and patients' outcome, TP index were built to measure the imbalance between tumor intrinsic growth potential and immune microenvironment. Patients with a higher TP index had significantly worse recurrence-free survival [Hazard ratio (HR), 10.47; 95% CI, 3.21-34.14; p < 0.0001] and overall survival (OS) [Hazard ratio (HR), 4.83e8; 95% CI, 0-Inf; p = 0.0013]. We used The Cancer Genome Atlas (TCGA)-LUAD dataset for validation and found that patients with a higher TP index had significantly worse OS (HR, 1.10; 95% CI, 0.83-1.45; p = 0.048), demonstrating the prognostic value of the TP index for patients with LUAD. Conclusions: The imbalance of tumor intrinsic growth potential and immune function orchestrate the progression of LUAD, which can be measured by TP index. Our study provided new insights into predicting survival of patients with LUAD and new target discovery for LUAD through assessing the imbalance between tumor intrinsic growth potential and immune function.

Dual peptide nanoparticle platform for enhanced antigen-specific immune tolerance for the treatment of experimental autoimmune encephalomyelitis.

Current therapeutic strategies for autoimmune diseases such as multiple sclerosis (MS) are directed towards nonspecific immunosuppression, which has severe side effects. The induction of antigen-specific tolerance has become an ideal therapy for autoimmune diseases. In this study, we have constructed a dual peptide nanoparticle platform, including the antigen peptide of the primary signal and inhibitory peptide of the co-stimulatory signal, for T-cell activation and to trigger antigen-specific immune tolerance to treat experimental autoimmune encephalomyelitis (EAE), a murine model for MS. The peptide LABL binding with ICAM-1 was encapsulated in PLGA nanoparticles and the antigenic peptide MOG35-55-KKK was then covalently bonded to the surface of the PLGA nanoparticles. In this way, peptide-loaded PLGA nanoparticles (NPsLABL+MOG) were developed. When the dual peptide nanoparticles were administered intravenously either prophylactically or therapeutically to MOG35-55-immunized mice, it completely prevented the occurrence of EAE in the prophylactic therapy trial and decreased inflammatory cell infiltration and the demyelination of the nerve myelin in the spinal cord in both prophylactic and therapeutic trials. In therapeutic experiments especially, the dual peptide nanoparticles a showed stronger inhibitory effect on EAE than the MOG peptide nanoparticles alone. Mechanistically, the dual peptide nanoparticles reduced MHC II and the co-stimulatory molecule CD86 expression of dendritic cells (DCs) on the surface and induced abortive T-cell activation, which eventually led to a decreased infiltration of Th1 and Th17 cells in the central nervous system and showed antigen-specific immune tolerance. The dual peptide nanoparticles have great potential for the treatment of autoimmune diseases by inducing immune tolerance.

The complete mitochondrial genome of the edible mushroom Grifola frondosa.

The culinary-medicinal mushroom Grifola frondosa is widely cultivated in East Asia. In this study, the complete mitochondrial genome of G. frondosa was determined using Illumina sequencing. The circular molecule was 197,486 bp in length with a content of 25.01% GC, which was one of the largest mitochondrial genomes in the order Polyporales. A total of 39 known genes encoding 13 common mitochondrial genes, 24 tRNA genes, 1 ribosomal protein s3 gene (rps3), and 1 DNA polymerase gene (dpo) were predicted in this genome. The phylogenetic analysis showed that G. frondosa clustered together with Sparassis crispa, Laetiporus sulphureus, Wolfiporia cocos, and Taiwanofungus camphoratus. The complete mitochondrial genome reported here may provide new insight into genetic information and evolution for further studies.

HACE1 negatively regulates neuroinflammation through ubiquitylating and degrading Rac1 in Parkinson's disease models.

Neuroinflammation plays an important role in neurodegenerative diseases, such as Parkinson's disease (PD) and Alzheimer's disease. HACE1 (HECT domain and Ankyrin repeat Containing E3 ubiquitin-protein ligase 1) is a tumor suppressor. Recent evidence suggests that HACE1 may be involved in oxidative stress responses. Due to the critical role of ROS in neuroinflammation, we speculated that HACE1 might participate in neuroinflammation and related neurodegenerative diseases, such as PD. In this study, we investigated the role of HACE1 in neuroinflammation of PD models. We showed that HACE1 knockdown exacerbated LPS-induced neuroinflammation in BV2 microglial cells in vitro through suppressing ubiquitination and degradation of activated Rac1, an NADPH oxidase subunit. Furthermore, we showed that HACE1 exerted vital neuronal protection through increasing Rac1 activity and stability in LPS-treated SH-SY5Y cells, as HACE1 knockdown leading to lower tolerance to LPS challenge. In MPTP-induced acute PD mouse model, HACE1 knockdown exacerbated motor deficits by activating Rac1. Finally, mutant α-synuclein (A53T)-overexpressing mice, a chronic PD mouse model, exhibited age-dependent reduction of HACE1 levels in the midbrain and striatum, implicating that HACE1 participated in PD pathological progression. This study for the first time demonstrates that HACE1 is a negative regulator of neuroinflammation and involved in the PD pathogenesis by regulating Rac1 activity. The data support HACE1 as a potential target for PD and other neurodegenerative diseases.

Detection of Melanogenesis and Anti-Apoptosis-Associated Melanoma Factors: Array CGH and PPI Mapping Integrating Study.

BACKGROUND: We investigated melanogenesis- and anti-apoptosis-related melanoma factors in melanoma cells (TXM1, TXM18, A375P, and A375SM). OBJECTIVE: To find melanoma associated hub factor, high-throughput screening-based techniques integrating with bioinformatics were investigated. METHODS: Array CGH analysis was conducted with a commercial system. Total genomic DNAs prepared individually from each cell line with control DNA were properly labeled with Cy3-dCTP and Cy5-dCTP and hybridizations and subsequently performed data treatment by the log2 green (G; test) to red (R; reference) fluorescence ratios (G/R). Gain or loss of copy number was judged by spots with log2-transformed ratios. PPI mapping analysis of detected candidate genes based on the array CGH results was conducted using the human interactome in the STRING database. Energy minimization and a short Molecular Dynamics (MD) simulation using the implicit solvation model in CHARMM were performed to analyze the interacting residues between YWHAZ and YWHAB. RESULTS: Three genes (BMP-4, BFGF, LEF-1) known to be involved in melanogenesis were found to lose chromosomal copy numbers, and Chr. 6q23.3 was lost in all tested cell lines. Ten hub genes (CTNNB1, PEX13, PEX14, PEX5, IFNG, EXOSC3, EXOSC1, EXOSC8, UBC, and PEX10) were predicted to be functional interaction factors in the network of the 6q23.3 locus. The apoptosis-associated genes E2F1, p50, BCL2L1, and BIRC7 gained, and FGF2 lost chromosomal copy numbers in the tested melanoma cell lines. YWHAB, which gained chromosomal copy numbers, was predicted to be the most important hub protein in melanoma cells. Molecular dynamics simulations for binding YWHAB and YWHAZ were conducted, and the complex was predicted to be energetically and structurally stable through its 3 hydrogen-bond patterns. The number of interacting residues is 27. CONCLUSION: Our study compares genome-wide screening interactomics predictions for melanoma factors and offers new information for understanding melanogenesis- and anti-apoptosis-associated mechanisms in melanoma. Especially, YWHAB was newly detected as a core factor in melanoma cells.

Weighted gene co-expression network analysis reveals specific modules and hub genes related to immune infiltration of osteoarthritis.

BACKGROUND: The incidence of osteoarthritis (OA), a chronic degenerative disease, is increasing every year. There is no effective clinical treatment for OA and the pathological mechanism remains unclear. Early diagnosis is an effective strategy to control the progress of OA. In this study, we aimed to identify potential early diagnostic biomarkers. METHODS: We downloaded the gene expression profile dataset, GSE51588 and GSE55235, from the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) public database. The differentially expressed genes (DEGs) were screened out using the "limma" R package. Weighted gene co-expression network analysis (WGCNA) was utilized to build the co-expression network between the normal and OA samples. A Venn diagram was constructed to detect the hub genes. Potential molecular mechanisms and signaling pathways were enriched by gene set variation analysis (GSVA). Single sample gene set enrichment analysis (ssGSEA) was used to identify the immune infiltration of OA. RESULTS: We screened out three hub genes based on WGCNA and DEGs in this study. GSVA results showed that nuclear factor interleukin-3 (NFIL3) was related to tumor necrosis factor alpha (TNF-α) signaling via nuclear factor kappa-B (NF-κB), the reactive oxygen species pathway, and myelocytomatosis (MYC) targets v2. Highly-expressed ADM (adrenomedullin) pathways included TNF-α signaling via NF-κB, the reactive oxygen species pathway, and ultraviolet (UV) response up. OGN (osteoglycin)-enriched pathways included epithelial mesenchymal transition, coagulation, and peroxisome. CONCLUSIONS: We identified three hub genes (NFIL3, ADM, and OGN) that were correlated to the development and progression of OA, which may provide new biomarkers for early diagnosis.

Primary intracranial papillary meningioma: Analysis of factors of prognosis and systematic review.

OBJECTIVE: Papillary meningioma is rare and displays an aggressive clinical behavior with poor prognosis. Therefore, we performed an extensive literature review to evaluate the adverse factors and treatment strategy of survival. METHOD: We performed Ovid, Medline, Embase, Pubmed, Web of Science and Cochrane database queries for articles published between 1938 and 2019 with the search term "WHO grade III meningioma" or "papillary meningioma" and "central nervous system", "cerebral", or "intracranial". RESULTS: After a careful evaluation, a total of 19 studies were included. The entire cohort included the 67 patients, 34 (50.7%) were male and 33 (49.3%) were female with a mean age of 32.6 ± 2.1 years ranging from 4.5 months to 74 years. Gross total resection was achieved in 48 (71.6%) cases, and 29 (51.8%) patients received postoperative radiation. The mean follow-up period was 42.3 ± 4.4 months (range, 2-197 months). Thirty-six (53.7%) patients happened to recurrences, 11 (16.4%) patients happened to extracranial metastasis and 25 (37.3%) patients died. Univariate analysis revealed that the MIB > 5% trended toward a shorter time to recurrence (p = 0.084). Gross total resection was associated with favorable progression-free survival (p = 0.007) and overall survival (p = 0.001). Postoperative radiation was associated with favorable progression-free survival (p = 0.001). CONCLUSIONS: Gross total resection and adjuvant radiation were recommended as the initial treatment option for patients with papillary meningioma.

TLR2 Potentiates SR-Marco-Mediated Neuroinflammation by Interacting with the SRCR Domain.

Microglial activation-induced neuroinflammation is critical in the pathogenesis of neurodegenerative diseases. Activated microglia are regulated mainly by innate pattern recognition receptors (PRRs) on their surface, of which macrophage receptor with collagenous structure (Marco) is a well-characterized scavenger receptor constitutively expressed on specific subsets of macrophages, including microglia. Increasing evidence has shown that Marco is involved in the pathogenesis of a range of inflammatory processes. However, research on the role of Marco in regulating neuroinflammation has reported conflicting results. In the present study, we examined the role Marco played in triggering neuroinflammation and its underlying mechanisms. The results demonstrated that silencing the Marco gene resulted in a significantly reduced neuroinflammatory response and vice versa. α-Syn stimulation in Marco overexpressing cells induced a pronounced inflammatory response, suggesting that Marco alone could trigger an inflammatory response. We also found that TLR2 significantly promoted Marco-mediated neuroinflammation, indicating TLR2 was an important co-receptor of Marco. Knocking down the TLR2 gene in microglia and mouse substantia nigra resulted in decreased expression of Marco. Subsequent mechanistic studies showed that deleting the SRCR domain of Marco resulted in disruption of the inflammatory response and the interaction between TLR2 and Marco. This suggested that TLR2 binds directly to the SRCR domain of Marco and regulates Marco-mediated neuroinflammation. In summary, this investigation revealed that TLR2 could potentiate Marco-mediated neuroinflammation by interacting with the SRCR domain of Marco, providing a new target for inhibiting neuroinflammation in neurodegenerative diseases.

Tyrosinase-mediated melanogenesis in melanoma cells: Array comparative genome hybridization integrating proteomics and bioinformatics studies.

We investigated the tyrosinase-associated melanogenesis in melanoma cells by using OMICS techniques. We characterized the chromosome copy numbers, including Chr 11q21 where the tyrosinase gene is located, from several melanoma cell lines (TXM13, G361, and SK-MEL-28) by using array CGH. We revealed that 11q21 is stable in TXM13 cells, which is directly related to a spontaneous high melanin pigment production. Meanwhile, significant loss of copy number of 11q21 was found in G361 and SK-MEL-28. We further profiled the proteome of TXM13 cells by LC-ESI-MSMS and detected more than 900 proteins, then predicted 11 hub proteins (YWHAZ; HSP90AA1; HSPA5; HSPA1L; HSPA9; HSP90B1; HSPA1A; HSPA8; FKSG30; ACTB; DKFZp686DQ972) by using an interactomic algorithm. YWHAZ (25% interaction in the network) is thought to be a most important protein as a linking factor between tyrosinase-triggered melanogenesis and melanoma growth. Bioinformatic tools were further applied for revealing various physiologic mechanisms and functional classification. The results revealed clues for the spontaneous pigmentation capability of TXM13 cells, contrary to G361 and SK-MEL-28 cells, which commonly have depigmentation properties during subculture. Our study comparatively conducted the genome-wide screening and proteomic profiling integrated interactomics prediction for TXM13 cells and suggests new insights for studying both melanogenesis and melanoma.

Functional study of acetaldehyde dehydrogenase 1 (ALDH1) in keratinocytes: microarray integrating bioinformatics approaches.

The function of acetaldehyde dehydrogenase 1 (ALDH1) has been gradually elucidated in several diseases, especially in various cancers. However, the role of ALDH1 in skin-related diseases has been mostly unknown. Previously, we found that ALDH1 is involved in the pathogenesis of atopic dermatitis (AD). In this study, we used high-throughput screening (HTS) approaches to identify critical factors associated with ALDH1 in human keratinocytes to reveal its functions in skin. We overexpressed ALDH1 in human HaCaT keratinocytes and then conducted serial HTS studies, a DNA microarray and antibody array integrated with bioinformatics algorithms. Together, those tests identified several novel genes associated with the function of ALDH1 in keratinocytes, as well as AD, including CTSG and CCL11. In particular, GNB3, GHSR, TAS2R9, FFAR1, TAS2R16, CCL21, GPR32, NPFFR1, GPR15, FBXW12, CCL19, EDNRA, FFAR3, and RXFP3 proteins were consistently detected as hub proteins in the PPI maps. By integrating the datasets obtained from these HTS studies and using the strengths of each method, we obtained new insights into the functional role of ALDH1 in skin keratinocytes. The approach used here could contribute to the clinical understanding of ALDH1-associated applications for the treatment of AD.Communicated by Ramaswamy H. Sarma.

A Knock-Down Cell-Based Study for the Functional Analysis of Chloride Intracellular Channel 1 (CLIC1): Integrated Proteomics and Microarray Study.

BACKGROUND: Previously, we detected that chloride intracellular channel 1 (CLIC1) was involved in the pathogenesis of atopic dermatitis (AD). OBJECTIVE: In this study, we aimed to use high-throughput screening (HTS) approaches to identify critical factors associated with the function of CLIC1 in knock-down cells. METHODS: We down-regulated CLIC1 in human A549 cells via siRNA and then conducted serial HTS studies, including proteomics integrated with a microarray and the implementation of bioinformatics algorithms. RESULTS: Together, these approaches identified several important proteins and genes associated with the function of CLIC1. These proteins and genes included tumor rejection antigen (gp96) 1, nucleophosmin, annexin I, keratin 1 and 10, FLNA protein, enolase 1, and metalloprotease 1, which were found using two-dimensional electrophoresis (2-DE) proteomics. Separately, NTNG1, SEMA5A, CLEC3A, GRPR, GNGT2, GRM5, GRM7, DNMT3B, CXCR5, CCL11, CD86, IL2, MNDA, TLR5, IL23R, DPP6, DLGAP1, CAT, GSTA1, GSTA2, GSTA5, CYP2E1, ADH1A, ESR1, ARRDC3, A1F1, CCL5, CASP8, DNTT, SQSTM1, PCYT1A, and SLCO4C1 were found using a DNA microarray integrated with PPI mapping. CONCLUSION: CCL11 is thought to be a particularly critical gene among the candidate genes detected in this study. By integrating the datasets and utilizing the strengths of HTS, we obtained new insights into the functional role of CLIC1, including the use of CLIC1-associated applications in the treatment of human diseases such as AD.

PIK3CA Is Regulated by CUX1, Promotes Cell Growth and Metastasis in Bladder Cancer via Activating Epithelial-Mesenchymal Transition.

PIK3CA is a key component of phosphatidylinositol 3-kinase (PI3K) pathway that its involvement in tumorigenesis has been revealed by previous research. However, its functions and potential mechanisms in bladder cancer are still largely undiscovered. Tissue microarray (TMA) with 66 bladder cancer patients was surveyed via immunohistochemistry to evaluate the level of PIK3CA and CUX1 and we found upregulation of PIK3CA in bladder cancer tissue and patients with higher level of PIK3CA presented with poorer prognosis. Overly expressed PIK3CA promoted growth, migration, invasion, and metastasis of bladder cancer cells and knockdown of PIK3CA had the opposite effect. Gain-of-function and loss-of-function studies showed that PIK3CA expression was facilitated by CUX1, leading to activation of epithelial-mesenchymal transition (EMT), accompanied by upregulated expression of Snail, ß-catenin, Vimentin and downregulated expression of E-cadherin in the bladder cancer cell lines. Besides, over-expressed CUX1 could restore the expression of downregulated Snail, ß-catenin, Vimentin and E-cadherin which was induced by PIK3CA knockdown. These results revealed that PIK3CA overexpression in bladder cancer was regulated by the transcription factor CUX1, and PIK3CA exerted its biological effects by activating EMT.

ECCDIA: an interactive web tool for the comprehensive analysis of clinical and survival data of esophageal cancer patients.

BACKGROUND: Esophageal cancer (EC) is considered as one of the deadliest malignancies with respect to incidence and mortality rate, and numerous risk factors may affect the prognosis of EC patients. For better understanding of the risk factors associated with the onset and prognosis of this malignancy, we develop an interactive web-based tool for the convenient analysis of clinical and survival characteristics of EC patients. METHODS: The clinical data were obtained from The Surveillance, Epidemiology, and End Results (SEER) database. Seven analysis and visualization modules were built with Shiny. RESULTS: The Esophageal Cancer Clinical Data Interactive Analysis (ECCDIA, http://webapps.3steps.cn/ECCDIA/ ) was developed to provide basic data analysis, visualization, survival analysis, and nomogram of the overall group and subgroups of 77,273 EC patients recorded in SEER. The basic data analysis modules contained distribution analysis of clinical factor ratios, Sankey plot analysis for relationships between clinical factors, and a map for visualizing the distribution of clinical factors. The survival analysis included Kaplan-Meier (K-M) analysis and Cox analysis for different subgroups of EC patients. The nomogram module enabled clinicians to precisely predict the survival probability of different subgroups of EC patients. CONCLUSION: ECCDIA provides clinicians with an interactive prediction and visualization tool for visualizing invaluable clinical and prognostic information of individual EC patients, further providing useful information for better understanding of esophageal cancer.