Screening Method
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2021 ◽  
Author(s):  
Juan Angueyra ◽  
Vincent P Kunze ◽  
Laura K Patak ◽  
Hailey Kim ◽  
Katie Kindt ◽  
...  

During development, retinal progenitors navigate a complex landscape of fate decisions that culminates with an array of unique cell types that are required for proper vision. Here, we aim to identify factors that are required for fate decisions in photoreceptors. These factors help create a diversity of photoreceptor subtypes that sustain vision in day and night, enable the detection of colors, of prey and predators, and other aspects of vision. To identify these factors, we generate a high-quality and deep transcriptomic profile of each photoreceptor subtype in zebrafish. From these profiles, we focus on transcription factors---key players in cell-fate decisions. We apply CRISPR-F0 screening as a versatile platform to explore the involvement of transcription factors in photoreceptor subtype-specification. We find that three differentially-expressed transcription factors (Foxq2, Tbx2a and Tbx2b) play unique roles in controlling the identity of photoreceptor subtypes within the retina. Our results provide novel insights into the function of these factors and how photoreceptors acquire their final identities. Furthermore, we have made our transcriptomic dataset openly available and easy to explore. This dataset and the screening method will be valuable to the scientific community and will enable the exploration of genes involved in many essential aspects of photoreceptor biology.


Author(s):  
Apeksha M. Mohite ◽  
Deepali S. Kapote ◽  
Michelle Fonseca

Background: Abnormal uterine bleeding is one of the commonest conditions amongst patients attending gynaecology OPD which also leads to significant disruption in a normal lifestyle. The causes of abnormal uterine bleeding are heterogeneous and complex. A systematic evaluation with detailed history and physical examination is foremost important in reaching diagnosis. Hysteroscopy is not only safe, quick and observes entire uterine cavity but also helps in precision in sampling and increases accuracy of diagnosis. It is also curative in conditions such as polyps, fibroids, uterine synechiae, menorrhagia and lost intrauterine contraceptive device. The aim of the study is to evaluate the role of hysteroscopy as a screening method in patients with AUB & compare to their USG findings and to the histopathological reports of the endometrial biopsy.Methods: This is a prospective observational study conducted at a tertiary healthcare centre over a period of 18 months, in 50 females belonging to pre, peri and post-menopausal age group. Sampling was done based on selection criteria after obtaining valid consent from the study group.Results: Hysteroscopy has a definitive role in evaluation of patients presenting with abnormal uterine bleeding with high sensitivity, specificity, PPV and NPV with immediate results.Conclusions: The above study concludes that the accuracy of diagnosing the cause of abnormal uterine bleeding is more with hysteroscopy followed by D and C then USG combined with D and C.


Mycoses ◽  
2021 ◽  
Author(s):  
Jose Lucio ◽  
Irene Gonzalez‐Jimenez ◽  
Rocio Garcia‐Rubio ◽  
Maria Soledad Cuetara ◽  
Emilia Mellado

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Wenxia Fu ◽  
Ruogu Li

Abstract Background Atrial fibrillation (AF) is the most prevalent cardiac dysrhythmia with high morbidity and mortality rate. Evidence shows that in every three patients with AF, one is asymptomatic. The asymptomatic and paroxysmal nature of AF is the reason for unsatisfactory and delayed detection using traditional instruments. Research indicates that wearing a dynamic electrocardiogram (ECG) recorder can guide accurate and safe analysis, interpretation, and distinction of AF from normal sinus rhythm. This is also achievable in an upright position and after exercises, assisted by an artificial intelligence (AI) algorithm. Methods This study enrolled 114 participants from the outpatient registry of our institution from June 24, 2020 to July 24, 2020. Participants were tested with a wearable dynamic ECG recorder and 12-lead ECG in a supine, an upright position and after exercises for 60 s. Results Of the 114 subjects enrolled in the study, 61 had normal sinus rhythm and 53 had AF. The number of cases that could not be determined by the wristband of dynamic ECG recorder was two, one and one respectively. Case results that were not clinically objective were defined as false-negative or false-positive. Results for diagnostic accuracy, sensitivity, and specificity tested by wearable dynamic ECG recorders in a supine position were 94.74% (95% CI% 88.76–97.80%), 88.68% (95% CI 77.06–95.07%), and 100% (95% CI 92.91–100%), respectively. Meanwhile, the diagnostic accuracy, sensitivity and specificity in an upright position were 97.37% (95% CI 92.21–99.44%), 94.34% (95% CI 84.03–98.65%), and 100% (95% CI 92.91–100%), respectively. Similar results as those of the upright position were obtained after exercise. Conclusion The widely accessible wearable dynamic ECG recorder integrated with an AI algorithm can efficiently detect AF in different postures and after exercises. As such, this tool holds great promise as a useful and user-friendly screening method for timely AF diagnosis in at-risk individuals.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Akihito Inoue ◽  
Takanobu Yasuda ◽  
Bo Zhu ◽  
Tetsuya Kitaguchi ◽  
Akikazu Murakami ◽  
...  

AbstractQuenchbody (Q-body) is a quench-based fluorescent immunosensor labeled with fluorescent dye(s) near the antigen-binding site of an antibody. Q-bodies can detect a range of target molecules rapidly and directly. However, because Q-bodies show different antigen responses depending on the antibody used, time-consuming optimization of the Q-body structure is often necessary, and a high-throughput screening method for discriminating and selecting good Q-bodies is required. Here, we aimed to develop a molecular display method of nanobody-based “mini Q-bodies” by combining yeast surface display and coiled-coil forming E4/K4 peptide-based fluorescence labeling. As a result, the yeast-displayed mini Q-body recognizing the anti-cancer agent methotrexate (MTX) showed significant quenching and MTX-dependent dequenching on cells. To demonstrate the applicability of the developed method to select highly responsive mini Q-bodies, a small nanobody library consisting of 30 variants that recognize human serum albumin was used as a model. The best variant, showing a 2.4-fold signal increase, was obtained through selection by flow cytometry. Furthermore, the same nanobody prepared from Escherichia coli also worked as a mini Q-body after dye labeling. The described approach will be applied to quickly obtain well-behaved Q-bodies and other fluorescent biosensors for various targets through directed evolutionary approaches.


Cancers ◽  
2021 ◽  
Vol 13 (22) ◽  
pp. 5787
Author(s):  
Cher-Wei Liang ◽  
Pei-Wei Fang ◽  
Hsuan-Ying Huang ◽  
Chung-Ming Lo

Gastrointestinal stromal tumors (GIST) are common mesenchymal tumors, and their effective treatment depends upon the mutational subtype of the KIT/PDGFRA genes. We established deep convolutional neural network (DCNN) models to rapidly predict drug-sensitive mutation subtypes from images of pathological tissue. A total of 5153 pathological images of 365 different GISTs from three different laboratories were collected and divided into training and validation sets. A transfer learning mechanism based on DCNN was used with four different network architectures, to identify cases with drug-sensitive mutations. The accuracy ranged from 87% to 75%. Cross-institutional inconsistency, however, was observed. Using gray-scale images resulted in a 7% drop in accuracy (accuracy 80%, sensitivity 87%, specificity 73%). Using images containing only nuclei (accuracy 81%, sensitivity 87%, specificity 73%) or cytoplasm (accuracy 79%, sensitivity 88%, specificity 67%) produced 6% and 8% drops in accuracy rate, respectively, suggesting buffering effects across subcellular components in DCNN interpretation. The proposed DCNN model successfully inferred cases with drug-sensitive mutations with high accuracy. The contribution of image color and subcellular components was also revealed. These results will help to generate a cheaper and quicker screening method for tumor gene testing.


2021 ◽  
Vol 8 ◽  
Author(s):  
Nele Alexandra ten Hagen ◽  
Friederike Twele ◽  
Sebastian Meller ◽  
Paula Jendrny ◽  
Claudia Schulz ◽  
...  

Background: Testing of possibly infected individuals remains cornerstone of containing the spread of SARS-CoV-2. Detection dogs could contribute to mass screening. Previous research demonstrated canines' ability to detect SARS-CoV-2-infections but has not investigated if dogs can differentiate between COVID-19 and other virus infections.Methods: Twelve dogs were trained to detect SARS-CoV-2 positive samples. Three test scenarios were performed to evaluate their ability to discriminate SARS-CoV-2-infections from viral infections of a different aetiology. Naso- and oropharyngeal swab samples from individuals and samples from cell culture both infected with one of 15 viruses that may cause COVID-19-like symptoms were presented as distractors in a randomised, double-blind study. Dogs were either trained with SARS-CoV-2 positive saliva samples (test scenario I and II) or with supernatant from cell cultures (test scenario III).Results: When using swab samples from individuals infected with viruses other than SARS-CoV-2 as distractors (test scenario I), dogs detected swab samples from SARS-CoV-2-infected individuals with a mean diagnostic sensitivity of 73.8% (95% CI: 66.0–81.7%) and a specificity of 95.1% (95% CI: 92.6–97.7%). In test scenario II and III cell culture supernatant from cells infected with SARS-CoV-2, cells infected with other coronaviruses and non-infected cells were presented. Dogs achieved mean diagnostic sensitivities of 61.2% (95% CI: 50.7–71.6%, test scenario II) and 75.8% (95% CI: 53.0–98.5%, test scenario III), respectively. The diagnostic specificities were 90.9% (95% CI: 87.3–94.6%, test scenario II) and 90.2% (95% CI: 81.1–99.4%, test scenario III), respectively.Conclusion: In all three test scenarios the mean specificities were above 90% which indicates that dogs can distinguish SARS-CoV-2-infections from other viral infections. However, compared to earlier studies our scent dogs achieved lower diagnostic sensitivities. To deploy COVID-19 detection dogs as a reliable screening method it is therefore mandatory to include a variety of samples from different viral respiratory tract infections in dog training to ensure a successful discrimination process.


Separations ◽  
2021 ◽  
Vol 8 (11) ◽  
pp. 221
Author(s):  
Fabio Vaiano ◽  
Elisabetta Bertol ◽  
Maria Mineo ◽  
Laura Pietrosemoli ◽  
Jolanda Rubicondo ◽  
...  

In the last few years, liquid chromatography coupled with mass spectrometry (LC/MS) has been increasingly used for screening purposes in forensic toxicology. These techniques have the advantages of low time/resource-consuming and high versatility and have been applied in numerous new multi-analytes methods. The new psychoactive substance (NPS) phenomenon provided a great impulse to this wide-range approach, but it is also important to keep the attention on “classical” psychoactive substances, such as benzodiazepines (BDZ). In this paper, a fully validated screening method in blood for the simultaneous detection of 163 substances (120 NPS and 43 other drugs) by a dynamic multiple reaction monitoring analysis through LC-MS/MS is described. The method consists of a deproteinization of 200 µL of blood with acetonitrile. The LC separation is achieved with a 100 mm long C18 column in 35 min. The method was very sensitive, with limits of quantification from 0.02 to 1.5 ng/mL. Matrix effects did not negatively affect the analytical sensitivity. This method proved to be reliable and was successfully applied to our routinary analytical activity in several forensic caseworks, allowing the identification and quantification of many BDZs and 3,4-methylenedioxypyrovalerone (MDPV).


2021 ◽  
Vol 12 ◽  
Author(s):  
Fumihiro Kato ◽  
Yuichiro Nakatsu ◽  
Keiko Murano ◽  
Aika Wakata ◽  
Toru Kubota ◽  
...  

Many efforts have been dedicated to the discovery of antiviral drug candidates against the mumps virus (MuV); however, no specific drug has yet been approved. The development of efficient screening methods is a key factor for the discovery of antiviral candidates. In this study, we evaluated a screening method using an Aequorea coerulescens green fluorescent protein-expressing MuV infectious molecular clone. The application of this system to screen for active compounds against MuV replication revealed that CD437, a retinoid acid receptor agonist, has anti-MuV activity. The point of antiviral action was a late step(s) in the MuV life cycle. The replication of other paramyxoviruses was also inhibited by CD437. The induction of retinoic acid-inducible gene (RIG)-I expression is a reported mechanism for the antiviral activity of retinoids, but our results indicated that CD437 did not stimulate RIG-I expression. Indeed, we observed antiviral activity despite the absence of RIG-I, suggesting that CD437 antiviral activity does not require RIG-I induction.


Foods ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 2813
Author(s):  
Le Ao ◽  
Panhang Liu ◽  
Annan Wu ◽  
Jing Zhao ◽  
Xiaosong Hu

(1) Background: Protein–polyphenol interactions have been widely studied regarding their influence on the properties of both protein and the ligands. As an important protein material in the food industry, soybean protein isolate (SPI) experiences interesting changes through polyphenols binding. (2) Methods: In this study, a molecular docking and virtual screening method was established to evaluate the SPI–polyphenol interaction. A compound library composed of 33 commonly found food source polyphenols was used in virtual screening. The binding capacity of top-ranking polyphenols (rutin, procyanidin, cyanidin chloride, quercetin) was validated and compared by fluorescence assays. (3) Results: Four out of five top-ranking polyphenols in virtual screening were flavonoids, while phenolic acids exhibit low binding capacity. Hydrogen bonding and hydrophobic interactions were found to be dominant interactions involved in soybean protein–polyphenol binding. Cyanidin chloride exhibited the highest apparent binding constant (Ka), which was followed by quercetin, procyanidin, and rutin. Unlike others, procyanidin addition perturbed a red shift of SPI fluorescence, indicating a slight conformational change of SPI. (4) Conclusions: These results suggest that the pattern of SPI–polyphenol interaction is highly dependent on the detailed structure of polyphenols, which have important implications in uncovering the binding mechanism of SPI–polyphenol interaction.


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