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#34130273   2021/06/15 To Up

Temporal order of mutations influences cancer initiation dynamics.

Cancer is a set of genetic diseases that are driven by mutations. It was recently discovered that the temporal order of genetic mutations affects the cancer evolution and even the nature of the disease itself. The mechanistic origin of these observations, however, remain not well understood. Here we present a theoretical model for cancer initiation dynamics that allows us to quantify the impact of the temporal order of mutations. In our approach, the cancer initiation process is viewed as a set of stochastic transitions between discrete states defined by the different numbers of mutated cells. Using a first-passage analysis, probabilities and times before the cancer initiation are explicitly evaluated for two alternative sequences of two mutations. It is found that the probability of cancer initiation is determined only by the first mutation, while the dynamics depends on both mutations. In addition, it is shown that the acquisition of a mutation with higher fitness before mutation with lower fitness increases the probability of the tumor formation but delays the cancer initiation. Theoretical results are explained using effective free-energy landscapes.
Hamid Teimouri, Anatoly B Kolomeisky

1074 related Products with: Temporal order of mutations influences cancer initiation dynamics.

6 ml Ready-to-use 100ug

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#34130214   2021/06/08 To Up

Lectins: Biological significance to biotechnological application.

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Dixita Chettri, Manswama Boro, Lija Sarkar, Anil Kumar Verma

2679 related Products with: Lectins: Biological significance to biotechnological application.

0.1ml (1.3mg/ml) 100ul 100ul50ul25 mg0.5mg50ul 100ul 100ul 100ul 100ul 100ul

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#34130195   2021/05/31 To Up

Convolutional neural networks to identify malformations of cortical development: A feasibility study.

To develop and test a deep learning model to automatically detect malformations of cortical development (MCD).
Iván Sánchez Fernández, Edward Yang, Marta Amengual-Gual, Cristina Barcia Aguilar, Paola Calvachi Prieto, Jurriaan M Peters

1823 related Products with: Convolutional neural networks to identify malformations of cortical development: A feasibility study.

1 module1 mL1 KG1 kit(96 Wells)1 module300 units1 module5 mg1 kit(96 Wells)200 ug

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#34130140   2021/06/12 To Up

An investigation into time-variant subsidence potentials using inclusive multiple modelling strategies.

Groundwater over-abstraction due to the absence of an effective management plan is often one of the main reasons for land subsidence in aquifer areas. This paper investigates this environmental problem at Salmas plain, Iran, by using the ALPRIFT framework, an acronym of a set of seven general-purpose data layers, introduced recently by the authors. It is capable of mapping Subsidence Vulnerability Indices (SVI) and the paper investigates an innovation to transform it into Time-variant SVI (TSVI) mapping capabilities through a three module strategy: Module 1: maps SVI; Module 2: develops a predictive model for Groundwater Levels (GWL); Module 3: combines both modules to produces TSVI maps. Modules 1 and 2 employ Inclusive Multiple Modelling (IMM) practices, which promote learning from multiple models, as opposed to their ranking and selecting a 'superior' one. IMM is implemented through the same single modelling strategy for both Modules 1 and 2 at two levels: at Level 1, multiple models are constructed by three Fuzzy Logic (FL) models: Sugeno FL (SFL), Mamdani FL (MFL) and Larsen FL (LFL). (ii) At Level 2, FL models at Level 1 are reused by Support Vector Machine (SVM) as the combiner model. The results show that (i) the models at Level 1 are fit-for-purpose; (ii) the models at Level 2 are defensible owing to IMM strategies focussed on enhancing their accuracy and investigating their residuals; and (iii) according to TSVI maps, the north of the plain is vulnerable to hotspot areas and is exposed to subsidence risks due to unplanned over-abstraction of groundwater from the aquifer at Salmas plain.
Maryam Gharekhani, Ata Allah Nadiri, Rahman Khatibi, Sina Sadeghfam

1893 related Products with: An investigation into time-variant subsidence potentials using inclusive multiple modelling strategies.

16 Arrays/Slide16 Arrays/Slide16 Arrays/Slide16 Arrays/Slide0.1 mg16 Arrays/Slide

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#34130115   2021/06/12 To Up

Novel autoantibodies to the β-cell surface epitopes of ZnT8 in patients progressing to type-1 diabetes.

Type 1 diabetes (T1D) is a chronic autoimmune disease characterized by autoimmune destruction of insulin-producing β-cells in pancreatic islets. Seroconversions to islet autoantibodies (IAbs) precede the disease onset by many years, but the role of humoral autoimmunity in the disease initiation and progression are unclear. In the present study, we identified a new IAb directed to the extracellular epitopes of ZnT8 (ZnT8ec) in newly diagnosed patients with T1D, and demonstrated immunofluorescence staining of the surface of human β-cells by autoantibodies to ZnT8ec (ZnT8ecA). With the assay specificity set on 99th percentile of 336 healthy controls, the ZnT8ecA positivity rate was 23.6% (74/313) in patients with T1D. Moreover, 30 children in a longitudinal follow up of clinical T1D development were selected for sequential expression of four major IAbs (IAA, GADA, IA-2A and ZnT8icA). Among them, 10 children were ZnT8ecA positive. Remarkably, ZnT8ecA was the earliest IAb to appear in all 10 children. The identification of ZnT8ec as a cell surface target of humoral autoimmunity in the earliest phase of IAb responses opens a new avenue of investigation into the role of IAbs in the development of β-cell autoimmunity.
Yong Gu, Chengfeng Merriman, Zheng Guo, Xiaofan Jia, Janet Wenzlau, Hua Li, Huilin Li, Marian Rewers, Liping Yu, Dax Fu

1157 related Products with: Novel autoantibodies to the β-cell surface epitopes of ZnT8 in patients progressing to type-1 diabetes.

1 kit500 gm.1 kit96T 1 G 25 G

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#34130096   2021/06/08 To Up

Diagnosing Strongylus vulgaris in pooled fecal samples.

Strongylus vulgaris is the most pathogenic intestinal helminth parasite infecting horses. The migrating larvae in the mesenteric blood vessels can cause non-strangulating intestinal infarctions, which have a guarded prognosis for survival. Infections are typically diagnosed by coproculture, but a PCR test is available in some countries. While it is ideal to test horses individually, many veterinarians and clients wish to pool samples to reduce workload and cost of the diagnostic method. The purpose of this study was to determine if pooling of fecal samples would negatively impact diagnostic performance of the coproculture and the PCR for determination of S. vulgaris infection. Ten horses with strongylid eggs per gram (EPG) >500 and confirmed as either S. vulgaris positive or negative were selected as fecal donors. Eight pools with feces from five horses were created with 0%, 10 %, 20 %, 30 %, 40 %, 50 %, 80 %, and 100 % S. vulgaris positive feces. From each pool, 20 subsamples of 10 g each were collected and analyzed. Half of these samples were set up for coproculture and the other half for PCR. All pools containing 50 % or greater S. vulgaris positive feces were detected positive by both PCR and coproculture. In the pools with less than 50 % S. vulgaris positive feces, the PCR detected 33 positive samples compared to 24 with the coproculture. Three samples from the 0% pool were detected as low-level PCR positives, but this could be due to contamination. These results indicate that diagnosing S. vulgaris on pooled samples is reliable, when at least 50 % of the feces in a pool are from S. vulgaris positive animals. Since S. vulgaris remains relatively rare in managed horses, however, some diagnostic sensitivity is expected to be lost with a pooled sample screening approach. Nonetheless, pooled sample screening on farms could still be considered useful under some circumstances, and the PCR generally performed better at the lower proportions of S. vulgaris positive feces.
Martin K Nielsen, Chelsea Facison, Jessica A Scare, Avery N Martin, Holli S Gravatte, Ashley E Steuer

2285 related Products with: Diagnosing Strongylus vulgaris in pooled fecal samples.

16 Arrays/Slide96 samples16 Arrays/Slide16 Arrays/Slide96 samples16 Arrays/Slide96 samples500 samples96 samples

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#34130032   2021/04/22 To Up

Cross-sectional observational study - Investigation of vitamin D concentration in Caucasian cancer patients. what is the adequate dose of vitamin D for these patients?

Vitamin D impairs tumour-related transformation and supports the anticancer function of the immune system. Currently, there are no guidelines on vitamin D supplementation devoted solely to cancer patients. The primary objective of the study was to evaluate the frequency of vitamin D deficiency in Caucasian cancer patients and to characterize the clinical factors that predispose individuals to decreased vitamin D concentration. Secondly, the study aimed to estimate the dose of vitamin D supplementation that would prevent deficiencies in patients with cancer.
Aleksandra Kapała, Małgorzata Szlendak, Ewelina Grochowska

2148 related Products with: Cross-sectional observational study - Investigation of vitamin D concentration in Caucasian cancer patients. what is the adequate dose of vitamin D for these patients?

100ug Lyophilized100ug Lyophilized100ug Lyophilized100ug Lyophilized

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#34130014   2021/05/11 To Up

The goldilocks problem: Nutrition and its impact on glycaemic control.

Glucose intolerance and insulin resistance manifest as hyperglycaemia in intensive care, which is associated with mortality and morbidities. Glycaemic control (GC) may improve outcomes, though safe and effective control has proven elusive. Nutritional glucose intake affects blood glucose (BG) outcomes, but few protocols actively control it. This study aims to examine BG outcomes in the context of nutritional management during GC.
Jennifer L Knopp, J Geoffrey Chase, Geoffrey M Shaw

2931 related Products with: The goldilocks problem: Nutrition and its impact on glycaemic control.

10ml. 10^6 IU/mL1000 tests100 Tests100 μg100ug Lyophilized 25 ml 0.1 mg

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#34130003   2021/06/08 To Up

Feature engineering and machine learning for causality assessment in pharmacovigilance: Lessons learned from application to the FDA Adverse Event Reporting System.

Our objective was to support the automated classification of Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) reports for their usefulness in assessing the possibility of a causal relationship between a drug product and an adverse event.
Kory Kreimeyer, Oanh Dang, Jonathan Spiker, Monica A Muñoz, Gary Rosner, Robert Ball, Taxiarchis Botsis

1642 related Products with: Feature engineering and machine learning for causality assessment in pharmacovigilance: Lessons learned from application to the FDA Adverse Event Reporting System.

100 μg0.1ml (1.3mg/ml)100ug Lyophilized0.1ml100 1100 ml

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#34129943   2021/06/12 To Up

Age-Associated Proteomic Signatures and Potential Clinically Actionable Targets of Colorectal Cancer.

The occurrence and prevalence of colorectal cancer (CRC) is closely associated with age. More than 90% of CRC patients are diagnosed after 50 years old. However, CRC incidence of young individuals has been increasing since 1990s as overall CRC frequency declining. Distinct overall survival (OS) rates between young and aged CRC patients has been established. Tremendous efforts have been spent to clarify the underlying mechanisms of age-dependent clinical differences, but it still remains elusive. Here we performed proteomic profiling of 50 CRC patients, and revealed proteomic signatures of CRC across age groups. Gene set enrichment analysis showed that distinct age-dependent clinical outcomes might mainly attribute to varied MYC targets V1/V2, E2F targets and G2M checkpoint gene sets, which were associated with cancer cell proliferation, cell apoptosis, tumor growth and tumor metastasis. Multiple linear regression analysis revealed a large number of functional proteins, such as NOP2, CSE1L, NHP2, NOC2L and CDK1, with adjusted expression significantly correlated with age (p < 0.05). Among them, NHP2 is a core component of the telomerase complex associated with age. High NHP2 expression predicted poor OS, with a more significant correlation in aged CRC patients. Knockdown of NHP2 significantly suppressed cancer cell proliferation. In addition, we revealed some age-related potential clinically actionable targets, such as PSEN1, TSPO and CDK1, which might be more suitable for late-onset CRC patients. Collectively, this study identifies age-associated proteomic signatures and potential therapeutic targets of CRC, and may help to make a precise decision on CRC treatment.
Yanqiu Gong, Yu Liu, Tian Wang, Zhigui Li, Li Gao, Haining Chen, Yang Shu, Yuan Li, Heng Xu, Zongguang Zhou, Lunzhi Dai

1088 related Products with: Age-Associated Proteomic Signatures and Potential Clinically Actionable Targets of Colorectal Cancer.

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