Cotton GhNAC4 promotes drought tolerance by regulating secondary cell wall biosynthesis and ribosomal protein homeostasis.

Drought has a severe impact on the quality and yield of cotton. Deciphering the key genes related to drought tolerance is important for understanding the regulation mechanism of drought stress and breeding drought-tolerant cotton cultivars. Several studies have demonstrated that NAC transcription factors are crucial in the regulation of drought stress, however, the related functional mechanisms are still largely unexplored. Here, we identified that NAC transcription factor GhNAC4 positively regulated drought stress tolerance in cotton. The expression of GhNAC4 was significantly induced by abiotic stress and plant hormones. Silencing of GhNAC4 distinctly impaired the resistance to drought stress and overexpressing GhNAC4 in cotton significantly enhanced the stress tolerance. RNA-seq analysis revealed that overexpression of GhNAC4 enriched the expression of genes associated with the biosynthesis of secondary cell walls and ribosomal proteins. We confirmed that GhNAC4 positively activated the expressions of GhNST1, a master regulator reported previously in secondary cell wall formation, and two ribosomal protein-encoding genes GhRPL12 and GhRPL18p, by directly binding to their promoter regions. Overexpression of GhNAC4 promoted the expression of downstream genes associated with the secondary wall biosynthesis, resulting in enhancing secondary wall deposition in the roots, and silencing of GhRPL12 and GhRPL18p significantly impaired the resistance to drought stress. Taken together, our study reveals a novel pathway mediated by GhNAC4 that promotes secondary cell wall biosynthesis to strengthen secondary wall development and regulates the expression of ribosomal protein-encoding genes to maintain translation stability, which ultimately enhances drought tolerance in cotton.

Organophosphine as an Alkyl Transfer Shuttle for the Direct ß-Alkylation of Chalcones Using Alkyl Halides.

We report an efficient alkyl transfer strategy for the direct ß-alkylation of chalcones using commercially available alkyl bromides as alkyl reagents. In this transformation, the ortho-phosphanyl substituent in the chalcones is crucial for controlling their reactivity and selectivity. It also serves as a reliable alkyl transfer shuttle to transform electrophilic alkyl bromides into nucleophilic alkyl species in the form of quaternary phosphonium salts and transfer the alkyl group effectively to the ß-position of the chalcones. This alkyl transfer strategy can be further extended to the alkenylation of ortho-phosphanyl benzaldehydes to assemble functionalized polyenes.

Multidimensional brain-age prediction reveals altered brain developmental trajectory in psychiatric disorders.

Brain-age prediction has emerged as a novel approach for studying brain development. However, brain regions change in different ways and at different rates. Unitary brain-age indices represent developmental status averaged across the whole brain and therefore do not capture the divergent developmental trajectories of various brain structures. This staggered developmental unfolding, determined by genetics and postnatal experience, is implicated in the progression of psychiatric and neurological disorders. We propose a multidimensional brain-age index (MBAI) that provides regional age predictions. Using a database of 556 individuals, we identified clusters of imaging features with distinct developmental trajectories and built machine learning models to obtain brain-age predictions from each of the clusters. Our results show that the MBAI provides a flexible analysis of region-specific brain-age changes that are invisible to unidimensional brain-age. Importantly, brain-ages computed from region-specific feature clusters contain complementary information and demonstrate differential ability to distinguish disorder groups (e.g., depression and oppositional defiant disorder) from healthy controls. In summary, we show that MBAI is sensitive to alterations in brain structures and captures distinct regional change patterns that may serve as biomarkers that contribute to our understanding of healthy and pathological brain development and the characterization and diagnosis of psychiatric disorders.

Neuroprotective effect of meglumine cyclic adenylate against ischemia/reperfusion injury via STAT3-Ser727 phosphorylation.

OBJECTIVES: Ischemia/reperfusion can induce neuronal apoptosis in the brain and lead to function deficits. The activation of cyclic adenosine monophosphate (cAMP)-dependent protein kinase (PKA) is neuroprotective against transient cerebral ischemia. The neuroprotective mechanisms of PKA mainly involve the regulation of gene transcription via the PKA/CREB pathway. The present study aims to investigate the neuroprotective effect of meglumine cyclic adenylate, an activator of PKA, under a rat model of global cerebral ischemia/reperfusion and to reveal the underlying mechanism involving signal transducer and activator of transcription 3 (STAT3)-Ser727 phosphorylation and mitochondrion modulation. MATERIALS AND METHODS: Male Sprague-Dawley rats were subjected to 15 min global cerebral ischemia, and meglumine cyclic adenylate was treated through tail intravenous injection 30 min before ischemia. Cresyl violet staining was used to evaluate neuron injury at 5 d of reperfusion. Western blotting was used to detect p-Ser727-STAT3, total STAT3, cytochrome c (Cyt c) and active caspase-3 in the tissues of hippocampal CA1 region at 6 h of reperfusion. STAT3-S727A was overexpressed in HT22 cells to reveal the significance of STAT3-Ser727 phosphorylation in the neuroprotective effect of meglumine cyclic adenylate. RESULTS: Pretreatment with meglumine cyclic adenylate not only significantly ameliorated neuron loss in CA1 region after global cerebral ischemia but also enhanced STAT3-Ser727 phosphorylation, increased mitochondrial STAT3, and decreased cytosolic Cyt c and active caspase-3. Overexpression of STAT3-S727A in HT22 cells eliminated meglumine cyclic adenylate-induced increase of p-Ser727-STAT3, mitochondrial STAT3, cytosolic Cyt c and active caspase-3. CONCLUSION: Meglumine cyclic adenylate protects neurons against ischemia/reperfusion injury via promoting p-Ser727-STAT3-associated mitochondrion modulation and inhibiting apoptosis pathway.

Investigating the temporal pattern of neuroimaging-based brain age estimation as a biomarker for Alzheimer's Disease related neurodegeneration.

Neuroimaging-based brain-age estimation via machine learning has emerged as an important new approach for studying brain aging. The difference between one's estimated brain age and chronological age, the brain age gap (BAG), has been proposed as an Alzheimer's Disease (AD) biomarker. However, most past studies on the BAG have been cross-sectional. Quantifying longitudinal changes in an individual's BAG temporal pattern would likely improve prediction of AD progression and clinical outcome based on neurophysiological changes. To fill this gap, our study conducted predictive modeling using a large neuroimaging dataset with up to 8 years of follow-up to examine the temporal patterns of the BAG's trajectory and how it varies by subject-level characteristics (sex, APOEɛ4 carriership) and disease status. Specifically, we explored the pattern and rate of change in BAG over time in individuals who remain stable with normal cognition or mild cognitive impairment (MCI), as well as individuals who progress to clinical AD. Combining multimodal imaging data in a support vector regression model to estimate brain age yielded improved performance over single modality. Multilevel modeling results showed the BAG followed a linear increasing trajectory with a significantly faster rate in individuals with MCI who progressed to AD compared to cognitively normal or MCI individuals who did not progress. The dynamic changes in the BAG during AD progression were further moderated by sex and APOEɛ4 carriership. Our findings demonstrate the BAG as a potential biomarker for understanding individual specific temporal patterns related to AD progression.

Complementary Nonsputum Diagnostic Testing for Tuberculosis in People with HIV Using Oral Swab PCR and Urine Lipoarabinomannan Detection.

Testing for mycobacterial lipoarabinomannan (LAM) in urine is a practical but insensitive alternative to sputum testing to diagnose tuberculosis (TB) in people with HIV (PWH). Here, we evaluated urine LAM testing alongside PCR-based tests for Mycobacterium tuberculosis (MTB) DNA in tongue swabs. We hypothesized that the two nonsputum samples would deliver complementary, not redundant, results. The study included 131 South African patients of whom 64 (48.1%) were confirmed to have TB by GeneXpert MTB/RIF Ultra (Xpert Ultra) or culture analysis of sputum. A total of 120 patients (91.6%) were coinfected with HIV and 130 yielded a valid urine LAM result (Alere DETERMINE LAM Ag). Tongue swab samples were tested by IS6110-targeted qPCR with a quantification cycle (Cq) cutoff of 32. Relative to reference sputum testing (TB culture and Xpert Ultra), combined urine LAM and oral swab testing (either sample positive) was significantly more sensitive than either nonsputum sample alone (57% sensitivity for combined testing versus 35% and 39% sensitivity for urine LAM and tongue swabs; P = 0.01 and 0.04, respectively). Specificity of combined testing (neither sample positive) was 97%. On average, tongue swab-positive participants had higher sputum signal strength than urine-LAM positive participants, as measured by sputum Xpert Ultra Cq value (P = 0.037). A subset of tongue swabs (N = 18) was also tested by using Xpert Ultra, which reproduced true positive and true negative IS6110 qPCR results and resolved the two false-positive tongue swabs. With further development, tongue swabs and urine may feasibly serve as complementary nonsputum samples for diagnosis of TB in PWH.

Point-of-care semi-quantitative test for adherence to tenofovir alafenamide or tenofovir disoproxil fumarate.

OBJECTIVES: Objective measurement of antiretrovirals may aid clinical interventions for improving adherence to HIV prevention or treatment regimens. A point-of-care urine test could provide real-time information about recent adherence to regimens containing tenofovir disoproxil fumarate or tenofovir alafenamide. We developed a lateral flow immunoassay (LFA) and ELISA for urinary tenofovir. METHODS: The intensity of the LFA test line was quantified using an optical reader and visually scored 0-5 by two independent people, using a reference card. The sensitivity and specificity of both the ELISA and LFA were determined for two different tenofovir concentration cut-offs for tenofovir disoproxil fumarate and tenofovir alafenamide adherence-1500 and 150 ng/mL, respectively. To validate the assays, we measured 586 urine samples from 28 individuals collected as part of a study of tenofovir pharmacokinetics in adults, which were also measured by MS for reference. RESULTS: Both the LFA signal and ELISA signal were each strongly correlated with drug concentrations (0.91 and 0.92, respectively). The LFA signal and ELISA were highly sensitive and specific at both thresholds (LFA sensitivity/specificity: tenofovir disoproxil fumarate, 89%/96%; and tenofovir alafenamide, 90%/96%) (ELISA sensitivity/specificity: tenofovir disoproxil fumarate, 94%/94%; and tenofovir alafenamide, 92%/84%). Visual scoring of the LFA was also highly sensitive and specific at both the tenofovir disoproxil fumarate threshold and the tenofovir alafenamide threshold (sensitivity/specificity: tenofovir disoproxil fumarate, 91%/94%; and tenofovir alafenamide, 87%/90%). CONCLUSIONS: Our rapid semi-quantitative test can measure tenofovir concentrations relevant to both tenofovir alafenamide and tenofovir disoproxil fumarate adherence, which may support adherence-promoting interventions across a range of HIV care settings.

BMP2 as a promising anticancer approach: functions and molecular mechanisms.

Bone morphogenetic protein 2 (BMP2), a pluripotent factor, is a member of the transforming growth factor-beta (TGF-ß) superfamily and is implicated in embryonic development and postnatal homeostasis in tissues and organs. Experimental research in the contexts of physiology and pathology has indicated that BMP2 can induce macrophages to differentiate into osteoclasts and accelerate the osteolytic mechanism, aggravating cancer cell bone metastasis. Emerging studies have stressed the potent regulatory effect of BMP2 in cancer cell differentiation, proliferation, survival, and apoptosis. Complicated signaling networks involving multiple regulatory proteins imply the significant biological functions of BMP2 in cancer. In this review, we comprehensively summarized and discussed the current evidence related to the modulation of BMP2 in tumorigenesis and development, including evidence related to the roles and molecular mechanisms of BMP2 in regulating cancer stem cells (CSCs), epithelial-mesenchymal transition (EMT), cancer angiogenesis and the tumor microenvironment (TME). All these findings suggest that BMP2 may be an effective therapeutic target for cancer and a new marker for assessing treatment efficacy.

Classification model with weighted regularization to improve the reproducibility of neuroimaging signature selection.

Machine learning (ML) has been extensively applied in brain imaging studies to aid the diagnosis of psychiatric disorders and the selection of potential biomarkers. Due to the high dimensionality of imaging data and heterogeneous subtypes of psychiatric disorders, the reproducibility of ML results in brain imaging studies has drawn increasing attention. The reproducibility in brain imaging has been primarily examined in terms of prediction accuracy. However, achieving high prediction accuracy and discovering relevant features are two separate but related goals. An important yet under-investigated problem is the reproducibility of feature selection in brain imaging studies. We propose a new metric to quantify the reproducibility of neuroimaging feature selection via bootstrapping. We estimate the reproducibility index (R-index) for each feature as the reciprocal coefficient of variation of absolute mean difference across a larger number of bootstrap samples. We then integrate the R-index in regularized classification models as penalty weight. Reproducible features with a larger R-index are assigned smaller penalty weights and thus are more likely to be selected by our proposed models. Both simulated and multimodal neuroimaging data are used to examine the performance of our proposed models. Results show that our proposed R-index models are effective in separating informative features from noise features. Additionally, the proposed models yield similar or higher prediction accuracy than the standard regularized classification models while further reducing coefficient estimation error. Improvements achieved by the proposed models are essential to advance our understanding of the selected brain imaging features as well as their associations with psychiatric disorders.

Structural Perturbations of Exon-Skipping Edits within the Dystrophin D20:24 Region.

Exon skipping is a disease-modifying therapy in which oligonucleotide analogues mask specific exons, eliminating them from the mature mRNA, and also the cognate protein. That is one possible therapeutic aim, but it can also be used to restore the reading frame for diseases caused by frameshift mutations, which is the case for Duchenne muscular dystrophy (DMD). DMD most commonly arises as a result of large exonic deletions that create a frameshift and abolish protein expression. Loss of dystrophin protein leads to the pathology of the disease, which is severe, causing death generally in the second or third decade of life. Here, the primary aim of exon skipping is restoration of protein expression by reading frame correction. However, the therapeutically expressed protein is missing both the region of the underlying genetic defect and the therapeutically skipped exon. How removing some region from the middle of a protein affects its structure and function is unclear. Many different underlying deletions are known, and exon skipping can be applied in many ways, in some cases in different ways to the same defect. These vary in how severely perturbative they are, with possible clinical consequences. In this study, we examine a systematic, comprehensive panel of exon edits in a region of dystrophin and identify for the first time exon edits that are minimally perturbed and appear to keep the structural stability similar to that of wild-type protein. We also identify factors that appear to be correlated with how perturbative an edit is.

CRISPR/Cas9-based generation of a recombinant double-reporter pseudorabies virus and its characterization in vitro and in vivo.

Pseudorabies, caused by pseudorabies virus (PRV) variants, has broken out among commercial PRV vaccine-immunized swine herds and resulted in major economic losses to the pig industry in China since late 2011. However, the mechanism of virulence enhancement of variant PRV is currently unclear. Here, a recombinant PRV (rPRV HN1201-EGFP-Luc) with stable expression of enhanced green fluorescent protein (EGFP) and firefly luciferase as a double reporter virus was constructed on the basis of the PRV variant HN1201 through CRISPR/Cas9 gene-editing technology coupled with two sgRNAs. The biological characteristics of the recombinant virus and its lethality to mice were similar to those of the parental strain and displayed a stable viral titre and luciferase activity through 20 passages. Moreover, bioluminescence signals were detected in mice at 12 h after rPRV HN1201-EGFP-Luc infection. Using the double reporter PRV, we also found that 25-hydroxycholesterol had a significant inhibitory effect on PRV both in vivo and in vitro. These results suggested that the double reporter PRV based on PRV variant HN1201 should be an excellent tool for basic virology studies and evaluating antiviral agents.

A new, developmentally-sensitive measure of weight suppression.

OBJECTIVE: Weight suppression (WS) has demonstrated associations with numerous indices of eating behavior, psychopathology and eating disorder prognosis. However, because WS has traditionally been measured as a simple subtraction of current weight from highest past weight at adult height, this calculation is problematic for most individuals with disordered eating, who usually reach their highest past weight during adolescence. Here we propose a new method for computing WS to address this shortcoming, termed "developmental weight suppression" (DWS), and provide a web-based tool for ease of calculation. METHOD: DWS is calculated as the difference between one's highest premorbid z-BMI (i.e., BMI z-score), and current z-BMI. z-BMIs were calculated using Cole's lambda-mu-sigma (LMS) approach, in accordance with LMS parameters publicly available from the Center for Disease Control (2010). A web-based user interface is available at https://niuxin.shinyapps.io/devws/, making its computation easier and its adoption by researchers simpler. DISCUSSION: By using z-BMIs in place of weights, DWS is more sensitive to the developmentally-relevant factors of age, height, and sex. Preliminary findings suggest that DWS is more strongly related to measures of eating pathology and biological reactions to weight loss than traditionally-computed WS, although more research is needed to test this hypothesis.

Exosomes from human urine-derived stem cells enhanced neurogenesis via miR-26a/HDAC6 axis after ischaemic stroke.

Endogenous neurogenesis holds promise for brain repair and long-term functional recovery after ischaemic stroke. However, the effects of exosomes from human urine-derived stem cells (USC-Exos) in neurogenesis remain unclear. This study aimed to investigate whether USC-Exos enhanced neurogenesis and promoted functional recovery in brain ischaemia. By using an experimental stroke rat model, we found that intravenous injection of USC-Exos enhanced neurogenesis and alleviated neurological deficits in post-ischaemic stroke rats. We used neural stem cells (NSCs) subjected to oxygen-glucose deprivation/reoxygenation (OGD/R) as an in vitro model of ischaemic stroke. The in vitro results suggested that USC-Exos promoted both proliferation and neuronal differentiation of NSCs after OGD/R. Notably, a further mechanism study revealed that the pro-neurogenesis effects of USC-Exos may be partially attributed to histone deacetylase 6 (HDAC6) inhibition via the transfer of exosomal microRNA-26a (miR-26a). Taken together, this study indicates that USC-Exos can be used as a novel promising strategy for brain ischaemia, which highlights the application of USC-Exos.

Improved prediction of brain age using multimodal neuroimaging data.

Brain age prediction based on imaging data and machine learning (ML) methods has great potential to provide insights into the development of cognition and mental disorders. Though different ML models have been proposed, a systematic comparison of ML models in combination with imaging features derived from different modalities is still needed. In this study, we evaluate the prediction performance of 36 combinations of imaging features and ML models including deep learning. We utilize single and multimodal brain imaging data including MRI, DTI, and rs-fMRI from a large data set with 839 subjects. Our study is a follow-up to the initial work (Liang et al., 2019. Human Brain Mapping) to investigate different analytic strategies to combine data from MRI, DTI, and rs-fMRI with the goal to improve brain age prediction accuracy. Additionally, the traditional approach to predicting the brain age gap has been shown to have a systematic bias. The potential nonlinear relationship between the brain age gap and chronological age has not been thoroughly tested. Here we propose a new method to correct the systematic bias of brain age gap by taking gender, chronological age, and their interactions into consideration. As the true brain age is unknown and may deviate from chronological age, we further examine whether various levels of behavioral performance across subjects predict their brain age estimated from neuroimaging data. This is an important step to quantify the practical implication of brain age prediction. Our findings are helpful to advance the practice of optimizing different analytic methodologies in brain age prediction.

Genome-wide identification of GRAS genes in Brachypodium distachyon and functional characterization of BdSLR1 and BdSLRL1.

BACKGROUND: As one of the most important transcription factor families, GRAS proteins are involved in numerous regulatory processes, especially plant growth and development. However, they have not been systematically analyzed in Brachypodium distachyon, a new model grass. RESULTS: In this study, 48 BdGRAS genes were identified. Duplicated genes account for 41.7% of them and contribute to the expansion of this gene family. 33, 39, 35 and 35 BdGRAS genes were identified by synteny with their orthologs in rice, sorghum, maize and wheat genome, respectively, indicating close relationships among these species. Based on their phylogenic relationships to GRAS genes in rice and maize, BdGRAS genes can be divided into ten subfamilies in which members of the same subfamily showed similar protein sequences, conserved motifs and gene structures, suggesting possible conserved functions. Although expression variation is high, some BdGRAS genes are tissue-specific, phytohormones- or abiotic stresses-responsive, and they may play key roles in development, signal transduction pathways and stress responses. In addition, DELLA genes BdSLR1 and BdSLRL1 were functionally characterized to play a role in plant growth via the GA signal pathway, consistent with GO annotations and KEGG pathway analyses. CONCLUSIONS: Systematic analyses of BdGRAS genes indicated that members of the same subfamily may play similar roles. This was supported by the conserved functions of BdSLR1 and BdSLRL1 in GA pathway. These results laid a foundation for further functional elucidation of BdGRAS genes, especially, BdSLR1 and BdSLRL1.

Investigating systematic bias in brain age estimation with application to post-traumatic stress disorders.

Brain age prediction using machine-learning techniques has recently attracted growing attention, as it has the potential to serve as a biomarker for characterizing the typical brain development and neuropsychiatric disorders. Yet one long-standing problem is that the predicted brain age is overestimated in younger subjects and underestimated in older. There is a plethora of claims as to the bias origins, both methodologically and in data itself. With a large neuroanatomical dataset (N = 2,026; 6-89 years of age) from multiple shared datasets, we show this bias is neither data-dependent nor specific to particular method including deep neural network. We present an alternative account that offers a statistical explanation for the bias and describe a simple, yet efficient, method using general linear model to adjust the bias. We demonstrate the effectiveness of bias adjustment with a large multi-modal neuroimaging data (N = 804; 8-21 years of age) for both healthy controls and post-traumatic stress disorders patients obtained from the Philadelphia Neurodevelopmental Cohort.

Obstetrical and infant outcomes among women with neoplasms during pregnancy.

PURPOSE: One in 1,000 pregnancies is complicated by malignancies. Prevalence is greater for benign neoplasms. Adverse outcomes among women with malignancies have been reported. Less is known of postpartum outcomes for infants, or outcomes among women with benign neoplasms. METHODS: We conducted a population-based cohort study using Washington State-linked vital-hospital discharge records. Women with neoplasms (707 malignant; 13,156 benign) with deliveries in 1987-2012 were identified, and a randomly selected comparison cohort. Obstetrical/infant outcomes and rehospitalization < 2 years post-delivery were compared separately for each group by multivariable regressions to estimate risk ratios (RR) and 95% confidence intervals (CI). RESULTS: Women with either condition had increased anemia, cesarean, and preterm delivery; their infants were more often < 2,500 g or jaundiced. Women with benign conditions had increased gestational diabetes (RR = 1.20; 95% CI 1.12-1.28) and preeclampsia (RR = 1.27; 95% CI 1.18-1.36); their infants had increased malformations (RR = 1.29; 95% CI 1.19-1.38). Women with neoplasms more often were hospitalized seven or more days or rehospitalized; their infants' hospitalizations were also longer. CONCLUSION: Malignant and benign neoplasms were associated with several adverse outcomes. Reasons for relationships of benign neoplasms with gestational diabetes, preeclampsia, and congenital malformations merit further study.

Chitinases Play a Key Role in Stipe Cell Wall Extension in the Mushroom Coprinopsis cinerea.

The elongation growth of the mushroom stipe is a characteristic but not well-understood morphogenetic event of basidiomycetes. We found that extending native stipe cell walls of Coprinopsis cinerea were associated with the release of N-acetylglucosamine and chitinbiose and with chitinase activity. Two chitinases among all detected chitinases from C. cinerea, ChiE1 and ChiIII, reconstituted heat-inactivated stipe wall extension and released N-acetylglucosamine and chitinbiose. Interestingly, both ChiE1 and ChiIII hydrolyze insoluble crystalline chitin powder, while other C. cinerea chitinases do not, suggesting that crystalline chitin components of the stipe cell wall are the target of action for ChiE1 and ChiIII. ChiE1- or ChiIII-reconstituted heat-inactivated stipe walls showed maximal extension activity at pH 4.5, consistent with the optimal pH for native stipe wall extension in vitro; ChiE1- or ChiIII-reconstituted heat-inactivated stipe wall extension activities were associated with stipe elongation growth regions; and the combination of ChiE1 and ChiIII showed a synergism to reconstitute heat-inactivated stipe wall extension at a low action concentration. Field emission scanning electron microscopy (FESEM) images showed that the inner surface of acid-induced extended native stipe cell walls and ChiE1- or ChiIII-reconstituted extended heat-inactivated stipe cell walls exhibited a partially broken parallel microfibril architecture; however, these broken transversely arranged microfibrils were not observed in the unextended stipe cell walls that were induced by neutral pH buffer or heat inactivation. Double knockdown of ChiE1 and ChiIII resulted in the reduction of stipe elongation, mycelium growth, and heat-sensitive cell wall extension of native stipes. These results indicate a chitinase-hydrolyzing mechanism for stipe cell wall extension.IMPORTANCE A remarkable feature in the development of basidiomycete fruiting bodies is stipe elongation growth that results primarily from manifold cell elongation. Some scientists have suggested that stipe elongation is the result of enzymatic hydrolysis of cell wall polysaccharides, while other scientists have proposed the possibility that stipe elongation results from nonhydrolytic disruption of the hydrogen bonds between cell wall polysaccharides. Here, we show direct evidence for a chitinase-hydrolyzing mechanism of stipe cell wall elongation in the model mushroom Coprinopsis cinerea that is different from the expansin nonhydrolysis mechanism of plant cell wall extension. We presumed that in the growing stipe cell walls, parallel chitin microfibrils are tethered by ß-1,6-branched ß-1,3-glucans, and that the breaking of the tether by chitinases leads to separation of these microfibrils to increase their spacing for insertion of new synthesized chitin and ß-1,3-glucans under turgor pressure in vivo.

[Detection of chromosomal abnormalities in abortic tissues derived from patients with recurrent abortions using BoBs technique].

OBJECTIVE: To assess the value of BACs-on-Beads (BoBs) technique for the detection of chromosomal abnormalities in abortus tissues from recurrent pregnancy loss. METHODS: A total of 109 abortus samples were collected and analyzed with the BoBs technique. The incidence and types of chromosomal abnormalities for different age groups and gestational weeks were compared. RESULTS: The BoBs assay has succeeded in all cases, with an incidence for chromosomal abnormalities reaching 62.39% (68/109). The major findings included trisomy 16 (12/68), trisomy 22 (9/68), trisomy 13 (9/68) and trisomy 21 (8/68). The abnormal rate was significantly higher in those above 35-year-old compared with that of the <35-year-old group (P<0.05). More aberrations were found among abortus tissues derived from 42-70 days of pregnancy albeit with no statistical significance (P>0.05). The aberration rates were similar for samples derived from second, third and fourth time abortions (P>0.05). CONCLUSION: BoBs technique can detect chromosomal aberrations in miscarriages and may be routinely used for the analysis of early spontaneous abortions.