Stephen J Fleming
Overview
Explore the profile of Stephen J Fleming including associated specialties, affiliations and a list of published articles.
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13
Citations
1007
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Recent Articles
1.
Pita-Juarez Y, Karagkouni D, Kalavros N, Melms J, Niezen S, Delorey T, et al.
Genome Biol
. 2025 Mar;
26(1):56.
PMID: 40087773
Background: The molecular underpinnings of organ dysfunction in severe COVID-19 and its potential long-term sequelae are under intense investigation. To shed light on these in the context of liver function,...
2.
Serrano E, Chandrasekaran S, Bunten D, Brewer K, Tomkinson J, Kern R, et al.
Nat Methods
. 2025 Mar;
PMID: 40032995
Advances in high-throughput microscopy have enabled the rapid acquisition of large numbers of high-content microscopy images. Next, whether by deep learning or classical algorithms, image analysis pipelines commonly produce single-cell...
3.
Arduini A, Fleming S, Xiao L, Hall A, Akkad A, Chaffin M, et al.
Cell Rep
. 2024 Dec;
44(1):115091.
PMID: 39709602
We sought to characterize cellular composition across the cardiovascular system of the healthy Wistar rat, an important model in preclinical cardiovascular research. We performed single-nucleus RNA sequencing (snRNA-seq) in 78...
4.
Wang B, Ma T, Chen T, Nguyen T, Crouse E, Fleming S, et al.
Npj Imaging
. 2024 Dec;
2(1):51.
PMID: 39649342
Voltage imaging is a powerful technique for studying neuronal activity, but its effectiveness is often constrained by low signal-to-noise ratios (SNR). Traditional denoising methods, such as matrix factorization, impose rigid...
5.
Wang B, Ma T, Chen T, Nguyen T, Crouse E, Fleming S, et al.
bioRxiv
. 2024 Apr;
PMID: 38659950
Voltage imaging enables high-throughput investigation of neuronal activity, yet its utility is often constrained by a low signal-to-noise ratio (SNR). Conventional denoising algorithms, such as those based on matrix factorization,...
6.
Arduini A, Fleming S, Xiao L, Hall A, Akkad A, Chaffin M, et al.
bioRxiv
. 2023 Nov;
PMID: 38014050
Background: Despite the critical role of the cardiovascular system, our understanding of its cellular and transcriptional diversity remains limited. We therefore sought to characterize the cellular composition, phenotypes, molecular pathways,...
7.
Fleming S, Chaffin M, Arduini A, Akkad A, Banks E, Marioni J, et al.
Nat Methods
. 2023 Aug;
20(9):1323-1335.
PMID: 37550580
Droplet-based single-cell assays, including single-cell RNA sequencing (scRNA-seq), single-nucleus RNA sequencing (snRNA-seq) and cellular indexing of transcriptomes and epitopes by sequencing (CITE-seq), generate considerable background noise counts, the hallmark of...
8.
Pita-Juarez Y, Karagkouni D, Kalavros N, Melms J, Niezen S, Delorey T, et al.
bioRxiv
. 2022 Nov;
PMID: 36324805
The molecular underpinnings of organ dysfunction in acute COVID-19 and its potential long-term sequelae are under intense investigation. To shed light on these in the context of liver function, we...
9.
Chaffin M, Papangeli I, Simonson B, Akkad A, Hill M, Arduini A, et al.
Nature
. 2022 Jun;
608(7921):174-180.
PMID: 35732739
Heart failure encompasses a heterogeneous set of clinical features that converge on impaired cardiac contractile function and presents a growing public health concern. Previous work has highlighted changes in both...
10.
Pirruccello J, Chaffin M, Chou E, Fleming S, Lin H, Nekoui M, et al.
Nat Genet
. 2021 Nov;
54(1):40-51.
PMID: 34837083
Enlargement or aneurysm of the aorta predisposes to dissection, an important cause of sudden death. We trained a deep learning model to evaluate the dimensions of the ascending and descending...