Publications by authors named "R A Miah"

Fibroblasts are cells that reside within the fibrous or loose connective tissues of most mammalian organs. For research purposes, fibroblasts are often subjected to long-term culture under defined conditions, during which their properties can significantly change. It is essential to understand and document these changes to obtain reliable outcomes.

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The dCas9-based Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) interference (CRISPRi) gene regulation technique requires two components: a catalytically inactive Cas9 protein (dCas9) and a single-guide RNA that targets the gene of interest. This system is commonly activated by expressing dCas9 through an inducible gene promoter, but these inducers may affect cellular physiology, and accessibility and permeability of the inducer are limited in relevant model systems. Here, we have developed an alternative approach for CRISPRi activation in the clinical isolate USA300 LAC, where dCas9 was expressed through endogenous virulence gene promoters (vgp); coagulase, autolysin, or fibronectin-binding protein A.

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Article Synopsis
  • Studies show links between weather and diarrhea, highlighting the need to explore specific pathogens' relationships with climate factors in vulnerable regions.
  • The research focused on young children in rural Bangladesh, using data from 2012-2016 to identify how temperature and precipitation impact diarrhea and pathogen prevalence.
  • Results indicated that warmer temperatures and higher rainfall increased rates of diarrhea and specific pathogens like E. coli and Cryptosporidium, suggesting varied effects of weather on different enteric diseases.
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Background: Water, sanitation, hygiene (WSH), nutrition (N), and combined (N+WSH) interventions are often implemented by global health organizations, but WSH interventions may insufficiently reduce pathogen exposure, and nutrition interventions may be modified by environmental enteric dysfunction (EED), a condition of increased intestinal permeability and inflammation. This study investigated the heterogeneity of these treatments' effects based on individual pathogen and EED biomarker status with respect to child linear growth.

Methods: We applied cross-validated targeted maximum likelihood estimation and super learner ensemble machine learning to assess the conditional treatment effects in subgroups defined by biomarker and pathogen status.

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1-Alkyl indazoles are a ubiquitous and privileged motif within medicinal chemistry, yet methods to selectively furnish 1-alkyl indazoles with simple alkyl side chains remain sparse. Herein, negative data from high-throughput experimentation (HTE) enabled a confident pivot of resource from continued optimisation to the development of an alternative reaction. This workflow culminated in a methodology for the synthesis of 1-alkyl indazoles.

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