Metabarcoding approach to identify bacterial community profiling related to nosocomial infection and bacterial trafficking-routes in hospital environments.

Nosocomial infections (NIs) appear in patients under medical care in the hospital. The surveillance of the bacterial communities employing high-resolution 16S rRNA profiling, known as metabarcoding, represents a reliable method to establish factors that may influence the composition of the bacterial population during NIs. The present study aimed to utilize high-resolution 16S rRNA profiling to identify high bacterial diversity by analyzing 11 inside and 10 outside environments from the General Hospital of Ribeirão Preto Medical School, Brazil. Our results identified a high bacterial diversity, and among these, the most abundant bacterial genera linked to NIs were Cutibacterium, Streptococcus, Staphylococcus, and Corynebacterium. A Acinetobacter was detected in cafeterias, bus stops, and adult and pediatric intensive care units (ICUs). Data suggest an association between transport and alimentation areas proximal to the hospital ICU environment. Interestingly, the correlation and clusterization analysis showed the potential of the external areas to directly influence the ICU pediatric department microbial community, including the outpatient's clinic, visitor halls, patient reception, and the closest cafeterias. Our results demonstrate that high-resolution 16S rRNA profiling is a robust and reliable tool for bacterial genomic surveillance. In addition, the metabarcoding approach might help elaborate decontamination policies, and consequently reduce NIs.

CeTF: an R/Bioconductor package for transcription factor co-expression networks using regulatory impact factors (RIF) and partial correlation and information (PCIT) analysis.

BACKGROUND: Finding meaningful gene-gene interaction and the main Transcription Factors (TFs) in co-expression networks is one of the most important challenges in gene expression data mining. RESULTS: Here, we developed the R package "CeTF" that integrates the Partial Correlation with Information Theory (PCIT) and Regulatory Impact Factors (RIF) algorithms applied to gene expression data from microarray, RNA-seq, or single-cell RNA-seq platforms. This approach allows identifying the transcription factors most likely to regulate a given network in different biological systems - for example, regulation of gene pathways in tumor stromal cells and tumor cells of the same tumor. This pipeline can be easily integrated into the high-throughput analysis. To demonstrate the CeTF package application, we analyzed gastric cancer RNA-seq data obtained from TCGA (The Cancer Genome Atlas) and found the HOXB3 gene as the second most relevant TFs with a high regulatory impact (TFs-HRi) regulating gene pathways in the cell cycle. CONCLUSION: This preliminary finding shows the potential of CeTF to list master regulators of gene networks. CeTF was designed as a user-friendly tool that provides many highly automated functions without requiring the user to perform many complicated processes. It is available on Bioconductor ( http://bioconductor.org/packages/CeTF ) and GitHub ( http://github.com/cbiagii/CeTF ).

HJURP knockdown disrupts clonogenic capacity and increases radiation-induced cell death of glioblastoma cells.

The Holliday Junction-Recognition Protein (HJURP) was reported as overexpressed in several cancers and also strongly correlated with poor prognosis of patients, especially in glioblastoma (GBM), the most common and deadly type of primary brain tumor. HJURP is responsible for loading the histone H3 variant-the Centromeric Protein A (CENP-A)-at the centromeres in a cell cycle-regulated manner, being required for proper chromosome segregation. Here we investigated HJURP association with survival and radioresistance of different GBM cell lines. HJURP knockdown compromised the clonogenic capacity and severely impaired survival of five distinct GBM cells, while nontumor astrocytes were not affected. U251MG cells showed a robust cell cycle arrest in G2/M phases followed by a drastic increment in cell death after HJURP silencing, while U138MG and U343MG cell lines presented augmented senescence with a comparable increase in cell death. Importantly, we verified that the impact on cell cycle dynamics and clonogenic survival were associated with loss CENP-A at the centromeres. Moreover, radiation resistance was also impacted by HJURP modulation in several GBM cell lines. U87MG, T98G, U138MG, and U343MG cells were all sensitized to ionizing radiation after HJURP reduction. These data reinforce the requirement of HJURP for proliferative capacity and radioresistance of tumor cells, underlining its potential as a promising therapeutic target for GBM.

A High-Content Screening Approach to Identify MicroRNAs Against Head and Neck Cancer Cell Survival and EMT in an Inflammatory Microenvironment.

Head and neck squamous cell carcinoma (HNSCC) is among the most common cancer types. Metastasis, the main cause of death by cancer, can be promoted by an inflammatory microenvironment, which induces epithelial-mesenchymal transition (EMT) through a NF-κB-mediated stabilization of Snail. Here, we aimed to explore how microRNAs (miRs) can affect cell survival and EMT in HNSCC cells under an inflammatory microenvironment. By using a high-content screening (HCS) approach, we evaluated alterations in morphometric parameters, as well as expression/localization of Snail/Slug, in HNSCC cells primed with TNF-α. Based on those quantitation, we established the optimal experimental conditions of EMT induction driven by TNF-α. Those conditions were applied to cells transfected with distinct miRs (N = 31), followed by clusterization of miRs based on alterations related to cell survival and EMT. The signaling pathways enriched with molecular targets from each group of miRs were identified by in silico analyses. Finally, cells were transfected with siRNAs against signaling pathways targeted by miRs with anti-survival/EMT effect and evaluated for alterations in cell survival and EMT. Overall, we observed that TNF-α, at 20 ng/ml, induced EMT-related changes in cell morphology, Snail/Slug expression, and cell migration. Predicted targets of miRs with anti-survival/EMT effect were enriched with targets of NF-κB, PI3K/ATK, and Wnt/beta catenin pathways. Strikingly, individual gene silencing of elements from those pathways, namely RELA (NF-kB), AKT1 (PI3K/AKT), and CTNNB1 (Wnt/beta catenin) reduced cell survival and/or expression of Snail/Slug in cells stimulated with TNF-α. As a whole, our HCS approach allowed for the identification of miRs capable of inhibiting cell survival and EMT considering the presence of an inflammatory microenvironment, also indicating the common signaling pathways and molecular targets most likely to underlie those alterations. These findings may contribute to the development of targeted therapies against HNSCC.

Evaluation of resistance acquisition during tuberculosis treatment using whole genome sequencing.

Tuberculosis (TB) is still considered a major global public health problem in the world and there is a concern about the worldwide increase of drug-resistance (DR). This paper describes the analysis of three Mycobacterium tuberculosis isolates from a single patient collected over a long treatment period of time. DR was initially investigated through phenotypic testing, followed by line probe assays (LPAs) and whole genome sequencing (WGS). It presents an intriguing situation where a multidrug-resistant (MDR-) TB case was diagnosed and treated based only on late phenotypic drug susceptibility testing of isolate 1. During the treatment, another two isolates were cultivated: isolate 2, nine months after starting MDR-TB treatment; and isolate 3, cultivated five months later, during regular use of anti-TB drugs. These two isolates were evaluated using molecular LPA and WGS, retrospectively. All mutations detected by LPA were also detected in the WGS, including conversion from fluoroquinolones susceptibility to resistance from isolate 2 to isolate 3. WGS showed additional mutations, including some which may confer resistance to other drugs not tested (terizidone/cycloserine) and mutations with no correspondent resistance in drug susceptibility testing (streptomycin and second-line injectable drugs).

TP53 mutations in primary breast carcinomas from white and African-Brazilian patients.

We have attempted to determine the incidence, nature and clinical significance of TP53 mutation in a group of white (242 cases) and African-Brazilian (52 cases) patients with breast cancer. The interethnic admixture as estimated by STR markers showed that white subjects displayed 67.9+/-0.4%, 25.0+/-1.7% and 7.0%+/-1.6% and the black populations had 34.4+/-1.9%, 56.2+/-1.9 and 9.4+/-2.2% respectively of European, African and Amerindian genes. Clinical parameters such as age, lymph node status and steroid receptors were similar in both groups. African-Brazilian patients presented more advanced lesions. Mutation screening was performed using polymerase chain reaction-single strand conformation analysis followed by sequencing. Compared to whites (13.6%), a relatively high frequency of TP53 mutation was found in blacks (32.7%) (p=0.001). African-Brazilian women have a larger proportion of mutations in exons 5 and 7, whereas white women have more mutations in exon 8. Mutations within exon 4 were found only in tumors of white patients. The spectra of TP53 mutations show that A:T-->G:C nucleotide transversion and G:C-->C:G transition were more common in African-Brazilian women whereas G:C-->T:A transversion occurs very frequently in whites. A high prevalence of G:C-->A:T nucleotide transitions and deletions was detected in both groups. No association was found between p53 gene mutation and tumor or clinical parameters independently of the ethnic group. With a median follow-up of 35.6 months for whites and 43.4 months for the blacks, no differences in overall survival were found. If white patients were stratified according to the type and location of TP53 mutations, patients with mutations affecting amino acids directly involved in DNA or Zn binding displayed a poor prognosis. The pattern of mutations found in our population seems to reflect a base line pattern observed in populations with similar ethnic profile with some modifications, which might be derived from specific etiological factors.