User profiles for Ryan Wallis
Jason Ryan WallisTexas A&M Transportation Institute Verified email at tti.tamu.edu Cited by 4 |
[HTML][HTML] The bright and dark side of extracellular vesicles in the senescence-associated secretory phenotype
R Wallis, H Mizen, CL Bishop - Mechanisms of ageing and development, 2020 - Elsevier
Senescence is a state of proliferative arrest which has been described as a protective
mechanism against the malignant transformation of cells. However, senescent cells have also …
mechanism against the malignant transformation of cells. However, senescent cells have also …
[PDF][PDF] Isolation methodology is essential to the evaluation of the extracellular vesicle component of the senescence‐associated secretory phenotype
R Wallis, N Josipovic, H Mizen… - Journal of …, 2021 - Wiley Online Library
A hallmark of senescence is the acquisition of an enhanced secretome comprising
inflammatory mediators and tissue remodelling agents – the senescence‐associated secretory …
inflammatory mediators and tissue remodelling agents – the senescence‐associated secretory …
Early growth response 2 (EGR2) is a novel regulator of the senescence programme
…, A Gutierrez del Arroyo, BK Hughes, R Wallis… - Aging cell, 2021 - Wiley Online Library
Senescence, a state of stable growth arrest, plays an important role in ageing and age‐related
diseases in vivo. Although the INK4/ARF locus is known to be essential for senescence …
diseases in vivo. Although the INK4/ARF locus is known to be essential for senescence …
[HTML][HTML] Yearning for machine learning: applications for the classification and characterisation of senescence
BK Hughes, R Wallis, CL Bishop - Cell and Tissue Research, 2023 - Springer
Senescence is a widely appreciated tumour suppressive mechanism, which acts as a barrier
to cancer development by arresting cell cycle progression in response to harmful stimuli. …
to cancer development by arresting cell cycle progression in response to harmful stimuli. …
[HTML][HTML] Senescence-associated morphological profiles (SAMPs): an image-based phenotypic profiling method for evaluating the inter and intra model heterogeneity …
R Wallis, D Milligan, B Hughes, H Mizen… - Aging (Albany …, 2022 - ncbi.nlm.nih.gov
Senescence occurs in response to a number of damaging stimuli to limit oncogenic
transformation and cancer development. As no single, universal senescence marker has been …
transformation and cancer development. As no single, universal senescence marker has been …
The relative contributions of psychiatric symptoms and psychotropic medications on the sleep-wake profile of young persons with anxiety, depression and bipolar …
R Robillard, C Oxley, DF Hermens, D White, R Wallis… - Psychiatry …, 2016 - Elsevier
This study investigated the relative contribution of psychiatric symptoms and psychotropic
medications on the sleep-wake cycle. Actigraphy and clinical assessments (Brief Psychiatric …
medications on the sleep-wake cycle. Actigraphy and clinical assessments (Brief Psychiatric …
Death-seq and ye shall find: A novel screening strategy for dying cells
R Wallis, CL Bishop - Cell Metabolism, 2023 - cell.com
Killing senescent cells to improve health-span holds great promise. However, screening for
senescence-regulating genes and molecules is challenging because these cells do not …
senescence-regulating genes and molecules is challenging because these cells do not …
Long-term variability of oscillatory impedance in stable obstructive airways disease
Respiratory oscillometry (or forced oscillation technique (FOT)), measures the mechanical
properties of the respiratory system by superimposing oscillatory pressure waves at the mouth …
properties of the respiratory system by superimposing oscillatory pressure waves at the mouth …
SenPred: A single-cell RNA sequencing-based machine learning pipeline to classify senescent cells for the detection of an in vivo senescent cell burden
BK Hughes, A Davis, D Milligan, R Wallis, MP Philpott… - bioRxiv, 2023 - biorxiv.org
Senescence classification is an acknowledged challenge within the field, as markers are cell-type
and context dependent. Currently, multiple morphological and immunofluorescence …
and context dependent. Currently, multiple morphological and immunofluorescence …
SenPred: A single-cell RNA sequencing-based machine learning pipeline to classify senescent cells for the detection of an in vivo senescent cell burden
C Bishop, B Hughes, A Davis, D Milligan, R Wallis… - 2023 - researchsquare.com
Senescence classification is an acknowledged challenge within the field, as markers are cell-type
and context dependent. Currently, multiple morphological and immunofluorescence …
and context dependent. Currently, multiple morphological and immunofluorescence …