wet lab
Recently Published Documents


TOTAL DOCUMENTS

368
(FIVE YEARS 212)

H-INDEX

16
(FIVE YEARS 4)

2022 ◽  
Vol 9 ◽  
pp. 238212052110632
Author(s):  
Miraal S. Dharamsi ◽  
D. Anthony Bastian ◽  
Heather A. Balsiger ◽  
Joel T. Cramer ◽  
Ricardo Belmares

INTRODUCTION As virtual education becomes more widespread, particularly considering the recent COVID-19 pandemic, studies that assess the impact of online teaching strategies are vital. Current anatomy curriculum at Paul L. Foster School of Medicine consists of self-taught PowerPoint material, clinical vignette-centered team-based learning (dry lab), and prosection-based instruction (wet lab). This study examined the impact of video-based muscle model (VBMM) instruction using a student-designed forearm muscle model on anatomy quiz scores and student perceptions of its effectiveness with regards to learning outcomes. METHODS Students divided into Group 1 (54 students) and Group 2 (53 students) were assessed prior to and following a 3.5-minute video on anterior forearm compartment musculature using the muscle model. Group 1 began by completing a pretest, then received VBMM instruction, and then completed a posttest prior to participating in the standard dry lab and 1 hour wet lab. Group 2 completed the wet lab, then received the pretest, VBMM instruction, and posttest prior to participating in the dry lab. Both groups took an identical five-question quiz covering locations and functions of various anterior forearm muscles each time. RESULTS Mean scores were higher than no formal intervention with exposure to VBMM instruction alone (0.73 points, P = .01), wet lab alone (0.88 points, P = .002), and wet lab plus VBMM instruction (1.35 points, P= <.001). No significant difference in scores was found between instruction with VBMM versus wet lab alone ( P = 1.00), or between either instruction method alone compared to a combination of the two methods ( P = .34, .09). Student survey opinions on the VBMM instruction method were positive. CONCLUSION VBMM instruction is comparable to prosection-based lab with regards to score outcomes and was well received by students as both an independent learning tool and as a supplement to cadaveric lab. When compared to either instruction method alone, the supplementation of VBMM with cadaveric prosection instruction was best. VBMM instruction may be valuable for institutions without access to cadaveric specimens, or those looking to supplement their current anatomy curriculum.


2022 ◽  
Vol 70 (1) ◽  
pp. 351
Author(s):  
Anujeet Paul ◽  
Swathi Nagarajan
Keyword(s):  

Molecules ◽  
2021 ◽  
Vol 27 (1) ◽  
pp. 63
Author(s):  
David Kuťák ◽  
Erik Poppleton ◽  
Haichao Miao ◽  
Petr Šulc ◽  
Ivan Barišić

The domains of DNA and RNA nanotechnology are steadily gaining in popularity while proving their value with various successful results, including biosensing robots and drug delivery cages. Nowadays, the nanotechnology design pipeline usually relies on computer-based design (CAD) approaches to design and simulate the desired structure before the wet lab assembly. To aid with these tasks, various software tools exist and are often used in conjunction. However, their interoperability is hindered by a lack of a common file format that is fully descriptive of the many design paradigms. Therefore, in this paper, we propose a Unified Nanotechnology Format (UNF) designed specifically for the biomimetic nanotechnology field. UNF allows storage of both design and simulation data in a single file, including free-form and lattice-based DNA structures. By defining a logical and versatile format, we hope it will become a widely accepted and used file format for the nucleic acid nanotechnology community, facilitating the future work of researchers and software developers. Together with the format description and publicly available documentation, we provide a set of converters from existing file formats to simplify the transition. Finally, we present several use cases visualizing example structures stored in UNF, showcasing the various types of data UNF can handle.


Author(s):  
Xianjun Yang ◽  
Xinlu Zhang ◽  
Julia Zuo ◽  
Stephen Wilson ◽  
Linda Petzold
Keyword(s):  

Cancers ◽  
2021 ◽  
Vol 13 (24) ◽  
pp. 6278
Author(s):  
Zainab Al-Taie ◽  
Mark Hannink ◽  
Jonathan Mitchem ◽  
Christos Papageorgiou ◽  
Chi-Ren Shyu

Breast cancer (BC) is the leading cause of death among female patients with cancer. Patients with triple-negative breast cancer (TNBC) have the lowest survival rate. TNBC has substantial heterogeneity within the BC population. This study utilized our novel patient stratification and drug repositioning method to find subgroups of BC patients that share common genetic profiles and that may respond similarly to the recommended drugs. After further examination of the discovered patient subgroups, we identified five homogeneous druggable TNBC subgroups. A drug repositioning algorithm was then applied to find the drugs with a high potential for each subgroup. Most of the top drugs for these subgroups were chemotherapy used for various types of cancer, including BC. After analyzing the biological mechanisms targeted by these drugs, ferroptosis was the common cell death mechanism induced by the top drugs in the subgroups with neoplasm subdivision and race as clinical variables. In contrast, the antioxidative effect on cancer cells was the common targeted mechanism in the subgroup of patients with an age less than 50. Literature reviews were used to validate our findings, which could provide invaluable insights to streamline the drug repositioning process and could be further studied in a wet lab setting and in clinical trials.


2021 ◽  
Author(s):  
Kevin Verstaen ◽  
Ines Lammens ◽  
Jana Roels ◽  
Yvan Saeys ◽  
Bart N Lambrecht ◽  
...  

Single-cell RNA sequencing is instrumental to unravel the cellular and transcriptomic heterogeneity of T and B cells in health and disease. Recent technological advances add additional layers of information allowing researchers to simultaneously explore the transcriptomic, surface protein and immune receptor diversity during adaptive immune responses. The increasing data complexicity poses a burden on the workload for bioinformaticians, who are often not familiar with the specificities and biology of immune receptor profiling. The wet-lab modalities and sequencing capabilities currently have outpaced bioinformatics solutions, which forms an ever-increasing barrier for many biologists to analyze their datasets. Here, we present DALI (Diversity AnaLysis Interface), a software package to identify and analyze T cell and B cell receptor diversity in high-throughput single-cell sequencing data. DALI aims to support bioinformaticians with a functional toolbox, allowing seamless integration of multimodel scRNAseq and immune receptor profiling data. The R-based package builds further on workflows using the Seurat package and other existing tools for BCR/TCR analyses. In addition, DALI is designed to engage immunologists having limited coding experience with their data, using a browser-based interactive graphical user interface. The implementation of DALI can effectively lead to a two-way communication between wet-lab scientists and bioinformaticians to advance the analysis of complex datasets.


Molecules ◽  
2021 ◽  
Vol 26 (23) ◽  
pp. 7396
Author(s):  
Tsun-Thai Chai ◽  
Jiun-An Koh ◽  
Clara Chia-Ci Wong ◽  
Mohamad Zulkeflee Sabri ◽  
Fai-Chu Wong

Some seed-derived antioxidant peptides are known to regulate cellular modulators of ROS production, including those proposed to be promising targets of anticancer therapy. Nevertheless, research in this direction is relatively slow owing to the inevitable time-consuming nature of wet-lab experimentations. To help expedite such explorations, we performed structure-based virtual screening on seed-derived antioxidant peptides in the literature for anticancer potential. The ability of the peptides to interact with myeloperoxidase, xanthine oxidase, Keap1, and p47phox was examined. We generated a virtual library of 677 peptides based on a database and literature search. Screening for anticancer potential, non-toxicity, non-allergenicity, non-hemolyticity narrowed down the collection to five candidates. Molecular docking found LYSPH as the most promising in targeting myeloperoxidase, xanthine oxidase, and Keap1, whereas PSYLNTPLL was the best candidate to bind stably to key residues in p47phox. Stability of the four peptide-target complexes was supported by molecular dynamics simulation. LYSPH and PSYLNTPLL were predicted to have cell- and blood-brain barrier penetrating potential, although intolerant to gastrointestinal digestion. Computational alanine scanning found tyrosine residues in both peptides as crucial to stable binding to the targets. Overall, LYSPH and PSYLNTPLL are two potential anticancer peptides that deserve deeper exploration in future.


2021 ◽  
Vol 45 (4) ◽  
pp. 744-748
Author(s):  
Voula Gaganis ◽  
Elizabeth Beckett ◽  
Julia Choate ◽  
Nancy Aguilar-Roca ◽  
Sarah Etherington ◽  
...  

There has been a gradual shift in the delivery of physiology laboratory classes over the last 30 years. For many, wet-lab demonstrations using animal tissues have been reduced or replaced with student-led investigations where students are both subjects and researchers. Despite these changes, expectations remain that physiology courses should include a practical component to encourage deeper and higher-order learning. Wet-lab tissue experiments and student-based group research formats can be expensive to run, associated with various ethical constraints, and, as discovered in these times of COVID-19, difficult to operate while adhering to physical distancing. We address the proposition that online and/or remote delivery of laboratory classes using digital technologies may provide a solution to both financial and ethical constraints of on-campus laboratory classes. Our discussions, as an international group of 10 physiologists from the United States, the United Kingdom, Canada, and Australia, revealed that although some of the financial and ethical constraints of using animal tissues and student-led investigations were addressed by the introduction of online alternatives, the construction and maintenance of online delivery modes could also be expensive and ethical issues, not previously considered, included digital equity and student data security. There was also a collective perception that if face-to-face laboratory classes were changed to an entirely virtual mode there was a risk that some intended learning outcomes would not be met. It was concluded that the “ideal” approach is likely a hybrid model whereby student attendance in face-to-face, on-campus classes is supported with interactive digital content either developed in house or obtained through third-party providers.


2021 ◽  
Vol 108 (Supplement_9) ◽  
Author(s):  
Madhu Chaudhury ◽  
Judith Johnson ◽  
Kishore Pursnani ◽  
Paul Turner

Abstract Background Robotic surgery has been increasingly applied in different specialties. The Rosemere Cancer Foundation funded the Da Vinci robot for Upper GI services at our tertiary Upper GI Cancer Centre which serves a population of approximately 1.5 million people. In 2017, two of our UGI surgeons performed the first robotic GIST excision in the UK successfully. The patient was discharged 5 days later after an uneventful recovery. We have subsequently performed increasingly complex benign and malignant Robotic UGI procedures. Our primary and secondary aims looked at the length of stay (LOS) in critical care and the complete hospital admission.  Methods Two UGI Consultants observed cases in established centres in Netherlands and Germany. Following this, they undertook 60 hours of simulation practice, online modular training and 3 sessions of wet lab training. Their initial 10 resections were completed under proctorship. A database was designed collecting information from the notes, November 2017 till July 2021 prospectively. This database was compared against a retrospective database on the same outcomes for non robotic cases over the same time period, performed by the same surgeons. LOS was statistically assessed using Mann-Whitney U test. Results As of July 2021, we have completed 73 cases. These are 25 benign and 48 cancer cases. The M:F was 1.5:1 and the median age was 66 years (22-84 years). The primary and secondary outcomes are illustrated below.  Conclusions Robotic Upper GI surgery is safe and feasible with good short term outcomes. There is a reasonable learning curve and therefore a structured learning programme is needed before embarking. The main advantage from preliminary data suggests a reduction in the LOS in critical care. The cost-effectiveness in complex benign surgeries remains to be determined with increase volume of cases. P-OGC31 Figure 1


mSystems ◽  
2021 ◽  
Author(s):  
Tzu-Tang Lin ◽  
Li-Yen Yang ◽  
I-Hsuan Lu ◽  
Wen-Chih Cheng ◽  
Zhe-Ren Hsu ◽  
...  

Antimicrobial peptides (AMPs) are innate immune components that have aroused a great deal of interest among drug developers recently, as they may become a substitute for antibiotics. New candidates need to fight antibiotic resistance, while discovering novel AMPs through wet-lab screening approaches is inefficient and expensive.


Sign in / Sign up

Export Citation Format

Share Document