Gemma Kinsella

Dr. Gemma Kinsella

School of Food Science & Environmental Health, Technological University Dublin, D07 ADY7 Dublin 1, Ireland
orcid

Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
7 December 2018 in Biotechnology Letters
Verified
Journal Article
Closed access
PDF file
PPPriyanka Priyanka
Priyanka Priyanka
YTYeqi Tan
Yeqi Tan
Gemma KinsellaGemma Kinsella
Gemma Kinsella
GHGary T. Henehan
Gary T. Henehan
BRBarry Ryan
Barry Ryan

29 January 2021 in Computational and Structural Biotechnology Journal
Verified
Journal Article
Open access
YTYeqi Tan
Yeqi Tan
GHGary T. Henehan
Gary T. Henehan
Gemma KinsellaGemma Kinsella
Gemma Kinsella
BRBarry Ryan
Barry Ryan
• Amycolatopsis mediterranei lipase (AML) exhibits cutinase-like structural features. • AML shows 60–70% sequence similarity to a few plastic degrading cutinases. • AML has the ability to degrade poly(caprolactone) and poly(butylene succinate).

10 February 2012 in Journal of Medicinal Chemistry
Verified
Journal Article
Open access
LCLaura Caboni
Laura Caboni
Gemma KinsellaGemma Kinsella
Gemma Kinsella
FBFernando Blanco
Fernando Blanco
DFDarren Fayne
Darren Fayne
WJWilliam N. Jagoe
William N. Jagoe
DLDavid G. Lloyd
David G. Lloyd
Prostate cancer (PCa) therapy typically involves administration of “classical” antiandrogens, competitive inhibitors of androgen receptor (AR) ligands, dihydrotestosterone (DHT) and testosterone (tes), for the ligand-binding pocket (LBP) in the ligand-binding domain (LBD) of AR. Prolonged LBP-targeting leads to resistance, and alternative therapies are urgently required. We report the identification and characterization of a novel series of diarylhydrazides as selective disruptors of AR interaction with coactivators through application of structure and ligand-based virtual screening. Compounds demonstrate full (“true”) antagonism in AR with low micromolar potency, selectivity over estrogen receptors α and β and glucocorticoid receptor, and partial antagonism of the progesterone receptor. MDG506 (5) demonstrates low cellular toxicity in PCa models and dose responsive reduction of classical antiandrogen-induced prostate specific antigen expression. These data provide compelling evidence for such non-LBP intervention as an alternative approach or in combination with classical PCa therapy.

1 January 2019 in Protein Expression and Purification
Verified
Journal Article
Closed access
PPPriyanka Priyanka
Priyanka Priyanka
Gemma KinsellaGemma Kinsella
Gemma Kinsella
GHGary T. Henehan
Gary T. Henehan
BRBarry Ryan
Barry Ryan

20 March 2020 in Marine Drugs
Verified
Journal Article
Open access
PDF file
RFRocio Finol-Urdaneta
Rocio Finol-Urdaneta
ABAleksandra Belovanovic
Aleksandra Belovanovic
MMMilica Micic-Vicovac
Milica Micic-Vicovac
Gemma KinsellaGemma Kinsella
Gemma Kinsella
JMJeffrey McArthur
Jeffrey McArthur
Ahmed N. Al-SabiAhmed N. Al-Sabi
Ahmed N. Al-Sabi
Toxins from marine animals provide molecular tools for the study of many ion channels, including mammalian voltage-gated potassium channels of the Kv1 family. Selectivity profiling and molecular investigation of these toxins have contributed to the development of novel drug leads with therapeutic potential for the treatment of ion channel-related diseases or channelopathies. Here, we review specific peptide and small-molecule marine toxins modulating Kv1 channels and thus cover recent findings of bioactives found in the venoms of marine Gastropod (cone snails), Cnidarian (sea anemones), and small compounds from cyanobacteria. Furthermore, we discuss pivotal advancements at exploiting the interaction of κM-conotoxin RIIIJ and heteromeric Kv1.1/1.2 channels as prevalent neuronal Kv complex. RIIIJ’s exquisite Kv1 subtype selectivity underpins a novel and facile functional classification of large-diameter dorsal root ganglion neurons. The vast potential of marine toxins warrants further collaborative efforts and high-throughput approaches aimed at the discovery and profiling of Kv1-targeted bioactives, which will greatly accelerate the development of a thorough molecular toolbox and much-needed therapeutics.

19 October 2018 in Bioengineering
Verified
Journal Article
Open access
PDF file
AUAlbert Uhoraningoga
Albert Uhoraningoga
Gemma KinsellaGemma Kinsella
Gemma Kinsella
GHGary T.m. Henehan
Gary T.m. Henehan
BRBarry Ryan
Barry Ryan
The production of high yields of soluble recombinant protein is one of the main objectives of protein biotechnology. Several factors, such as expression system, vector, host, media composition and induction conditions can influence recombinant protein yield. Identifying the most important factors for optimum protein expression may involve significant investment of time and considerable cost. To address this problem, statistical models such as Design of Experiments (DoE) have been used to optimise recombinant protein production. This review examines the application of DoE in the production of recombinant proteins in prokaryotic expression systems with specific emphasis on media composition and culture conditions. The review examines the most commonly used DoE screening and optimisation designs. It provides examples of DoE applied to optimisation of media and culture conditions.