681 research outputs found
Gender Comparisons of Mechanomyographic Amplitude and Mean Power Frequency Versus Isometric Torque Relationships
This is the publisher's version, also found at http://ehis.ebscohost.com/ehost/detail?sid=e7a03093-e666-4634-b895-d6b4313857c2%40sessionmgr13&vid=1&hid=17&bdata=JnNpdGU9ZWhvc3QtbGl2ZQ%3d%3d#db=s3h&AN=15943883This study compared the patterns of mechanomyographic (MMG) amplitude
and mean power frequency vs. torque relationships in men and women during
isometric muscle actions of the biceps brachii. Seven men (mean age 23.9 ±
3.5 yrs) and 8 women (mean 21.0 ± 1.3 yrs) performed submaximal to maximal
isometric muscle actions of the dominant forearm flexors. Following determination
of the isometric maximum voluntary contraction (MVC), they
randomly performed submaximal step muscle actions in 10% increments from
10% to 90% MVC. Polynomial regression analyses indicated that the MMG
amplitude vs. isometric torque relationship for the men was best fit with a
cubic model (R2 = 0.983), where MMG amplitude increased slightly from
10% to 20% MVC, increased rapidly from 20% to 80% MVC, and plateaued
from 80% to 100% MVC. For the women, MMG amplitude increased linearly
(r2 = 0.949) from 10% to 100% MVC. Linear models also provided the best fit
for the MMG mean power frequency vs. isometric torque relationship in both
the men (r2 = 0.813) and women (r2 = 0.578). The results demonstrated gender
differences in the MMG amplitude vs. isometric torque relationship, but
similar torque-related patterns for MMG mean power frequency. These findings
suggested that the plateau in MMG amplitude at high levels of isometric
torque production for the biceps brachii in the men, but not the women, may
have been due to greater isometric torque, muscle stiffness, and/or intramuscular
fluid pressure in the men, rather than to differences in moto
Alterations in long noncoding RNAs in women with and without polycystic ovarian syndrome
Long noncoding RNAs (lncRNAs) are RNA transcripts over 200 nucleotides long that are not translated into protein; however, there is increasing evidence of their regulatory functions. To date, there are few studies measuring lncRNA in control women or women with polycystic ovary syndrome (PCOS). Objective: To determine lncRNA differences between PCOS and control women. Design: Cross sectional study. Patients: Twenty four anovulatory women with all three diagnostic features of PCOS compared to 24 control women in the follicular phase of their menstrual cycle from a PCOS biobank. Results: Women with PCOS were age and weight matched compared to the control women but were significantly insulin resistant and hyperandrogenemic (
The MEM project: experiences, challenges and outcomes of an international double master-level degree
[EN] Educating the workforce of the future to perform adeptly in the global environment as well as to surmount cross cultural boundaries is of a paramount necessity in today’s technologically advanced and complex settings. This environment has led institutions of higher education to seek international collaborations to face these challenges. Building on experiences and successes gained from a nearly decade long project entitled UMANE that was jointly supported by both the US Department of Education and the EU for undergraduate double/triple Bachelor’s degrees, this paper reports on an extension of the earlier partnership, to include a graduate level partnership that offers a double master degree between New Jersey Institute of Technology (NJIT) and University of Parma (UNIPR) that was put in place in 2015. In this work, we present the developed framework of this international cooperation, report on its challenges, and share our experiences. Specifically, the framework of the agreement establishes guidelines and course of study leading to double master degrees in the area of Engineering Management, one from NJIT and another from Parma University. Students in this program, usually, start their studies in Italy, attending the classes at their home Institution and then move to Newark, New Jersey, during the spring/second semester (6 months) of their first year, to attend NJIT classes. At the end of their studies, students will be awarded two master’s degrees in Engineering Management from the partnering universities.http://ocs.editorial.upv.es/index.php/HEAD/HEAD18Montanari, R.; Malek, LA.; Andrei, P.; Ferretti, G.; Valenti, S.; Mancinelli, LM.; Bernazzoli, A.... (2018). The MEM project: experiences, challenges and outcomes of an international double master-level degree. Editorial Universitat Politècnica de València. 1125-1133. https://doi.org/10.4995/HEAD18.2018.8159OCS1125113
Metabolomics of dates (Phoenix dactylifera) reveals a highly dynamic ripening process accounting for major variation in fruit composition
Novel subtractive transcription-based amplification of mRNA (STAR) method and its application in search of rare and differentially expressed genes in AD brains
BACKGROUND: Alzheimer's disease (AD) is a complex disorder that involves multiple biological processes. Many genes implicated in these processes may be present in low abundance in the human brain. DNA microarray analysis identifies changed genes that are expressed at high or moderate levels. Complementary to this approach, we described here a novel technology designed specifically to isolate rare and novel genes previously undetectable by other methods. We have used this method to identify differentially expressed genes in brains affected by AD. Our method, termed Subtractive Transcription-based Amplification of mRNA (STAR), is a combination of subtractive RNA/DNA hybridization and RNA amplification, which allows the removal of non-differentially expressed transcripts and the linear amplification of the differentially expressed genes. RESULTS: Using the STAR technology we have identified over 800 differentially expressed sequences in AD brains, both up- and down- regulated, compared to age-matched controls. Over 55% of the sequences represent genes of unknown function and roughly half of them were novel and rare discoveries in the human brain. The expression changes of nearly 80 unique genes were further confirmed by qRT-PCR and the association of additional genes with AD and/or neurodegeneration was established using an in-house literature mining tool (LitMiner). CONCLUSION: The STAR process significantly amplifies unique and rare sequences relative to abundant housekeeping genes and, as a consequence, identifies genes not previously linked to AD. This method also offers new opportunities to study the subtle changes in gene expression that potentially contribute to the development and/or progression of AD
ALLPATHS 2: Small Genomes Assembled Accurately and with High Continuity from Short Paired Reads
We demonstrate that genome sequences approaching finished quality can be generated from short paired reads. Using 36 base (fragment) and 26 base (jumping) reads from five microbial genomes of varied GC composition and sizes up to 40 Mb, ALLPATHS2 generated assemblies with long, accurate contigs and scaffolds. Velvet and EULER-SR were less accurate. For example, for Escherichia coli, the fraction of 10-kb stretches that were perfect was 99.8% (ALLPATHS2), 68.7% (Velvet), and 42.1% (EULER-SR).Organismic and Evolutionary Biolog
Discovery of new therapeutic targets in ovarian cancer through identifying significantly non-mutated genes
Background: Mutated and non-mutated genes interact to drive cancer growth and metastasis. While research has focused on understanding the impact of mutated genes on cancer biology, understanding non-mutated genes that are essential to tumor development could lead to new therapeutic strategies. The recent advent of high-throughput whole genome sequencing being applied to many different samples has made it possible to calculate if genes are significantly non-mutated in a specific cancer patient cohort. Methods: We carried out random mutagenesis simulations of the human genome approximating the regions sequenced in the publicly available Cancer Growth Atlas Project for ovarian cancer (TCGA-OV). Simulated mutations were compared to the observed mutations in the TCGA-OV cohort and genes with the largest deviations from simulation were identified. Pathway analysis was performed on the non-mutated genes to better understand their biological function. We then compared gene expression, methylation and copy number distributions of non-mutated and mutated genes in cell lines and patient data from the TCGA-OV project. To directly test if non-mutated genes can affect cell proliferation, we carried out proof-of-concept RNAi silencing experiments of a panel of nine selected non-mutated genes in three ovarian cancer cell lines and one primary ovarian epithelial cell line. Results: We identified a set of genes that were mutated less than expected (non-mutated genes) and mutated more than expected (mutated genes). Pathway analysis revealed that non-mutated genes interact in cancer associated pathways. We found that non-mutated genes are expressed significantly more than mutated genes while also having lower methylation and higher copy number states indicating that they could be functionally important. RNAi silencing of the panel of non-mutated genes resulted in a greater significant reduction of cell viability in the cancer cell lines than in the non-cancer cell line. Finally, as a test case, silencing ANKLE2, a significantly non-mutated gene, affected the morphology, reduced migration, and increased the chemotherapeutic response of SKOV3 cells. Conclusion: We show that we can identify significantly non-mutated genes in a large ovarian cancer cohort that are well-expressed in patient and cell line data and whose RNAi-induced silencing reduces viability in three ovarian cancer cell lines. Targeting non-mutated genes that are important for tumor growth and metastasis is a promising approach to expand cancer therapeutic options.We would like to thank Weill Cornell Medicine in Qatar (WCM-Q) and the Qatar National Leadership Program (QNLP) for research support. We would also like to thank the WCM-Q Advanced Computing Division for computing time and software support. Finally, we would like to thank colleagues and reviewers for experimental support and critical discussions. This study was made possible by JSREP grant 4-011-1-003 from the Qatar National Research Fund (a member of Qatar Foundation) and the QF Leadership program. The statements made herein are solely the responsibility of the author[s]. The funders had no role in the design of the study or in the collection, analysis, and interpretation of data and in writing the manuscript.Scopu
The complete genome sequence and analysis of the Epsilonproteobacterium \u3cem\u3eArcobacter butzleri\u3c/em\u3e
Arcobacter butzleri is a member of the epsilon subdivision of the Proteobacteria and a close taxonomic relative of established pathogens, such as Campylobacter jejuni and Helicobacter pylori. Here we present the complete genome sequence of the human clinical isolate, A. butzleri strain RM4018.
Methodology/Principal Findings: Arcobacter butzleri is a member of the Campylobacteraceae, but the majority of its proteome is most similar to those of Sulfuromonas denitrificans and Wolinella succinogenes, both members of the Helicobacteraceae, and those of the deep-sea vent Epsilonproteobacteria Sulfurovum and Nitratiruptor. In addition, many of the genes and pathways described here, e.g. those involved in signal transduction and sulfur metabolism, have been identified previously within the epsilon subdivision only in S. denitrificans, W. succinogenes, Sulfurovum, and/or Nitratiruptor, or are unique to the subdivision. In addition, the analyses indicated also that a substantial proportion of the A. butzleri genome is devoted to growth and survival under diverse environmental conditions, with a large number of respiration-associated proteins, signal transduction and chemotaxis proteins and proteins involved in DNA repair and adaptation. To investigate the genomic diversity of A. butzleri strains, we constructed an A. butzleri DNA microarray comprising 2238 genes from strain RM4018. Comparative genomic indexing analysis of 12 additional A. butzleri strains identified both the core genes of A. butzleri and intraspecies hypervariable regions, where, 70% of the genes were present in at least two strains.
Conclusion/Significance: The presence of pathways and loci associated often with non-hostassociated organisms, as well as genes associated with virulence, suggests that A. butzleri is a free-living, water-borne organism that might be classified rightfully as an emerging pathogen. The genome sequence and analyses presented in this study are an important first step in understanding the physiology and genetics of this organism, which constitutes a bridge between the environment and mammalian hosts
The Complete Genome Sequence and Analysis of the Epsilonproteobacterium Arcobacter butzleri
BACKGROUND: Arcobacter butzleri is a member of the epsilon subdivision of the Proteobacteria and a close taxonomic relative of established pathogens, such as Campylobacter jejuni and Helicobacter pylori. Here we present the complete genome sequence of the human clinical isolate, A. butzleri strain RM4018. METHODOLOGY/PRINCIPAL FINDINGS: Arcobacter butzleri is a member of the Campylobacteraceae, but the majority of its proteome is most similar to those of Sulfuromonas denitrificans and Wolinella succinogenes, both members of the Helicobacteraceae, and those of the deep-sea vent Epsilonproteobacteria Sulfurovum and Nitratiruptor. In addition, many of the genes and pathways described here, e.g. those involved in signal transduction and sulfur metabolism, have been identified previously within the epsilon subdivision only in S. denitrificans, W. succinogenes, Sulfurovum, and/or Nitratiruptor, or are unique to the subdivision. In addition, the analyses indicated also that a substantial proportion of the A. butzleri genome is devoted to growth and survival under diverse environmental conditions, with a large number of respiration-associated proteins, signal transduction and chemotaxis proteins and proteins involved in DNA repair and adaptation. To investigate the genomic diversity of A. butzleri strains, we constructed an A. butzleri DNA microarray comprising 2238 genes from strain RM4018. Comparative genomic indexing analysis of 12 additional A. butzleri strains identified both the core genes of A. butzleri and intraspecies hypervariable regions, where <70% of the genes were present in at least two strains. CONCLUSION/SIGNIFICANCE: The presence of pathways and loci associated often with non-host-associated organisms, as well as genes associated with virulence, suggests that A. butzleri is a free-living, water-borne organism that might be classified rightfully as an emerging pathogen. The genome sequence and analyses presented in this study are an important first step in understanding the physiology and genetics of this organism, which constitutes a bridge between the environment and mammalian hosts
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