Mandragora turcomanica (Solanaceae) in Iran: A new distribution record for an endangered species 1

Mandragora turcomanica Mizg. is reported from gardens of Dahaneh village c.7 km north of Kalaleh in Golestan Province (NE Iran). The plants were transplanted from wild populations by the local people many years ago, because of their highly aromatic leaves and fruits. Current information suggests the species is extinct or extremely rare in natural habitats in Iran and protection of extant stands in this village is urgently recommended. It is already known to be endangered in Turkmenistan. The detailed morphological characteristics are discussed and compared with the Mediterranean M. officinarum L., and photographs of the plant are provided.     

Occurrence of the Legionella species in the respiratory samples of patients with pneumonia symptoms from Ahvaz,Iran; first detection of Legionella cherrii

Molecular Biology Reports - This study aimed to investigate the occurrence of Legionella species in the respiratory samples of patients with pneumonia symptoms from Ahvaz, Iran by culture and the...     

Immobilization of recombinant nanobiofiber CS3 fimbriae onto alginate beads for improvement of cadmium biosorption

A cell surface display system with metalbinding properties was previously developed using CS3 fimbriae, which are hollow tubes 20 nm-thick and 2 nm in diameter. In this study, hybrid CS3 pili were separated from recombinant Escherichia coli and entrapped in calcium alginate gel beads in order to improve their stabilization and also adsorption of heavy metals. The surface morphology of the gel beads containing pili was investigated by scanning electron microscopy (SEM). Immunofluorescence microscopy was employed to confirm the attachment of nanobiofibers to the alginate beads. The effects of three variables (sodium alginate concentration, protein to alginate mass ratio, and bead size) at two levels each on Cd²⁺ biosorption efficiency were investigated by full factorial experimental design. A second-order polynomial equation modeled the design space for the process response of cadmium removal capacity. The optimal values of the factors were obtained as follows: 1% sodium alginate concentration, 0.25 protein to alginate mass ratio, and a 6 mm bead size. Under these conditions, Cd²⁺ was adsorbed at 45.45 mg/g to the nanobiofiber. The results indicate that the immobilized recombinant hybrid CS3 pili may be an appropriate biosorbent for removal of heavy metals from polluted aquatic environments.     

The First Report and Molecular Analysis of Enterocytozoon bieneusi from Raccoon (Procyon lotor) in North of Iran

Microsporidia are known opportunistic microorganisms and usually transmitted via the fecal–oral route. However, there is no information about human‐infecting microsporidia in wildlife in Iran. This study aimed to investigate and analyze human‐infecting microsporidia isolated from raccoons in north of Iran. Totally, 30 fecal samples were collected; then, DNA extraction was performed and specific fragments of the SSU rRNA gene of Enterocytozoon bieneusi and Encephalitozoon species were amplified. After amplification and sequencing the ITS, the results were compared to the GenBank database. Phylogenetic trees and network analysis were employed to explore probable relationships. E. bieneusi was the only detected microsporidia among samples. Genotyping showed the genotypes D, E, and RA in 15/18 (83.33%), 1/18 (5.55%), and 2/18 (11.11%) of samples, respectively. Novel genotypes RA1 and RA2 grouped together and apart from other genotypes. E. bieneusi genotypes D and E clustered with the genotypes previously reported from animals, humans, and environmental samples. Network analysis revealed six distinct sequence types among raccoon's isolates. This study demonstrated that E. bieneusi genotype D was the most prevalent microsporidia among raccoons. It seems that wildlife may play a role in dispersion of microsporidia spores.     

A Machine Learned Classifier That Uses Gene Expression Data to Accurately Predict Estrogen Receptor Status

Background

Selecting the appropriate treatment for breast cancer requires accurately determining the estrogen receptor (ER) status of the tumor. However, the standard for determining this status, immunohistochemical analysis of formalin-fixed paraffin embedded samples, suffers from numerous technical and reproducibility issues. Assessment of ER-status based on RNA expression can provide more objective, quantitative and reproducible test results.

Methods

To learn a parsimonious RNA-based classifier of hormone receptor status, we applied a machine learning tool to a training dataset of gene expression microarray data obtained from 176 frozen breast tumors, whose ER-status was determined by applying ASCO-CAP guidelines to standardized immunohistochemical testing of formalin fixed tumor.

Results

This produced a three-gene classifier that can predict the ER-status of a novel tumor, with a cross-validation accuracy of 93.17±2.44%. When applied to an independent validation set and to four other public databases, some on different platforms, this classifier obtained over 90% accuracy in each. In addition, we found that this prediction rule separated the patients'' recurrence-free survival curves with a hazard ratio lower than the one based on the IHC analysis of ER-status.

Conclusions

Our efficient and parsimonious classifier lends itself to high throughput, highly accurate and low-cost RNA-based assessments of ER-status, suitable for routine high-throughput clinical use. This analytic method provides a proof-of-principle that may be applicable to developing effective RNA-based tests for other biomarkers and conditions.     

Correction to: Variation in Blood and Colorectal Epithelia’s Key Trace Elements along with Expression of Mismatch Repair Proteins from Localized and Metastatic Colorectal Cancer Patients

Biological Trace Element Research - The original version of this article unfortunately contained a mistake. The name of “Ali Ghorbani Ranjbary” is now corrected in the author group of...     

Virus-induced CRISPR-Cas9 system improved resistance against tomato yellow leaf curl virus

Molecular Biology Reports - Plant viruses are the most significant factors associated with massive economical losses in agricultural industries worldwide. Accordingly, many studies are dedicated to...     

Prognostic Significance of Substance P and Neurokinin-1 Receptor in Bladder Cancer

Background:Bladder cancer is one of the most common genitourinary cancers with significant mortality. Finding reliable tumor markers and potential drug targets can improve early diagnosis, prognosis, and more effective therapeutic protocols. Previous studies have reported the involvement of the substance P (SP)/neurokinin-1 receptor (NK-1R) system in cancers. The potential prognostic role and the interaction of SP and NK-1R in bladder tumor are yet to be elucidated.Methods:Serum samples from 22 primarily diagnosed patients with bladder cancer as well as 22 healthy controls were examined for SP level using ELISA method. Tissue distribution of NK-1R in tumor samples and their adjacent normal tissues was evaluated through immunohistochemistry.Results:Serum SP levels in patients with bladder cancer were higher than the healthy group (p< 0.001) and had a significant correlation with NK-1R staining intensity (p< 0.001), percentage of stained cells (p< 0.001), and NK-1R tissue distribution. Also, the immunoreactivity of NK-1R in cancer samples increased significantly without correlation with tumor characteristics. However, no significant association was found between SP and NK-1R levels with clinical characteristics including tumor size (p= 0.33), tumor stage (p= 0.29), grade (p= 0.93), NK-1R staining intensity (p= 0.53), and percentage of stained cells (p= 0.32).DiscussionAccording to our findings, despite the lack of association between SP and NK-1R with clinical characteristics of bladder cancer, their serum levels were higher in patients with bladder cancer. Further studies are needed to confirm the potential prognostic role of SP and NK-1R in bladder cancer.Key Words: Biomarker, Bladder cancer, Neurokinin-1 receptor, Substance P, Prognosis     

Fabrication of Au/Fe3O4/RGO based aptasensor for measurement of miRNA‐128, a biomarker for acute lymphoblastic leukemia (ALL)

Due to their high sensitivity, simplicity, portability, self‐contained, and low cost, the development of electrochemical biosensors is a beneficial way to diagnose and anticipate many types of cancers. An electrochemical nanocomposite‐based aptasensor is fabricated for the determination of miRNA‐128 concentration as the acute lymphoblastic leukemia (ALL) biomarker for the first time. The aptamer chains were immobilized on the surface of the glassy carbon electrode (GCE) through gold nanoparticles/magnetite/reduced graphene oxide (AuNPs/Fe₃O₄/RGO). Fast Fourier transform infrared (FTIR), X‐ray diffraction (XRD), vibrating sample magnetometer (VSM), and transmission electron microscopy (TEM) were used to characterize synthesized nanomaterials. Cyclic voltammetry (CV), square wave voltammetry (SWV), and electrochemical impedance spectroscopy (EIS) were used to characterize the modified GCE in both label‐free and labeled methods. The results indicate that the modified working electrode has high selectivity and for miRNA‐128 over other biomolecules. The hexacyanoferrate redox system typically operated at around 0.3 V (vs. Ag/AgCl), and the methylene blue redox system ran at about 0 V, were used as an electrochemical probe. The detection limit and linear detection range for hexacyanoferrate and methylene blue are 0.05346 fM, 0.1–0.9 fM, and 0.005483 fM, 0.01–0.09 fM, respectively. The stability and diffusion control analyses were performed as well. In both label‐free and labeled methods, the modified electron showed high selectivity for miRNA‐128. The use of methylene blue as a safer redox mediator caused miRNA‐128 to be detected with greater accuracy at low potentials in PBS media. The findings also show the substantial improvement in detection limit and linearity by using reduced graphene oxide‐magnetite‐gold nanoparticles that can be verified by comparing with previous studies on the detection of other miRNAs.     

Sepantronium Bromide (YM155), A Small Molecule Survivin Inhibitor,Promotes Apoptosis by Induction of Oxidative Stress,Worsens the Behavioral Deficits and Develops an Early Model of Toxic Demyelination: In Vivo and In-Silico Study

Neurochemical Research - Cuprizone (cup) model targets oligodendrocytes (OLGs) degeneration and is frequently used for the mechanistic understanding of de- and remyelination. Improperly, this...