scispace - formally typeset
S

Sultan Alasmari

Researcher at Australian Regenerative Medicine Institute

Publications -  10
Citations -  174

Sultan Alasmari is an academic researcher from Australian Regenerative Medicine Institute. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 3, co-authored 4 publications receiving 102 citations.

Papers
More filters
Journal ArticleDOI

Intron retention enhances gene regulatory complexity in vertebrates

TL;DR: This study performs an exhaustive phylogenetic analysis in a highly purified and functionally defined cell type comprising neutrophilic granulocytes from five vertebrate species spanning 430 million years of evolution to suggest that intron-retaining genes are transcriptionally co-regulated from bidirectional promoters.
Journal ArticleDOI

Macrophages protect Talaromyces marneffei conidia from myeloperoxidase-dependent neutrophil fungicidal activity during infection establishment in vivo.

TL;DR: It is demonstrated that the macrophage intracellular niche favours infection establishment by protecting conidia from a myeloperoxidase-dependent neutrophil fungicidal activity, and a new in vivo model of talaromycosis with several advantages over previous models is provided.
Journal ArticleDOI

A zebrafish model of inflammatory lymphangiogenesis

TL;DR: The potential of zebrafish as an inflammatory lymphangiogenesis model that can be used to investigate the role and mechanism of lymphang iogenesis in inflammatory diseases such as IBD is highlighted.
Journal ArticleDOI

Pioneer neutrophils release chromatin within in vivo swarms.

TL;DR: In this article, the authors demonstrate that neutrophil swarming is a conserved process in zebrafish immunity, sharing essential features with mammalian systems, and they use a photoconversion approach to track neutrophils within developing swarms, identifying the fate of swarm-initiating pioneer neutrophILS involves extracellular chromatin release and that the key NET components gasdermin, neutrophIL elastase, and myeloperoxidase are required for the swarming process.
Journal ArticleDOI

Prediction Model of Adverse Effects on Liver Functions of COVID-19 ICU Patients

TL;DR: A model called the detecting model for liver damage (DMLD) that predicts the risk of liver damage in COVID-19 ICU patients and applies machine learning algorithms in order to assess therisk of liver failure based on patient data is proposed.