Guidelines for bioinformatics of single-cell sequencing data analysis in Alzheimer's disease: review, recommendation, implementation and application

M Wang, W Song, C Ming, Q Wang, X Zhou… - Molecular …, 2022 - Springer
Alzheimer's disease (AD) is the most common form of dementia, characterized by
progressive cognitive impairment and neurodegeneration. Extensive clinical and genomic …

Scrublet: computational identification of cell doublets in single-cell transcriptomic data

SL Wolock, R Lopez, AM Klein - Cell systems, 2019 - cell.com
Single-cell RNA-sequencing has become a widely used, powerful approach for studying cell
populations. However, these methods often generate multiplet artifacts, where two or more …

Single-nucleus cross-tissue molecular reference maps toward understanding disease gene function

G Eraslan, E Drokhlyansky, S Anand, E Fiskin… - Science, 2022 - science.org
Understanding gene function and regulation in homeostasis and disease requires
knowledge of the cellular and tissue contexts in which genes are expressed. Here, we …

Computational methods for single-cell RNA sequencing

B Hie, J Peters, SK Nyquist, AK Shalek… - Annual Review of …, 2020 - annualreviews.org
Single-cell RNA sequencing (scRNA-seq) has provided a high-dimensional catalog of
millions of cells across species and diseases. These data have spurred the development of …

Monocyte-driven atypical cytokine storm and aberrant neutrophil activation as key mediators of COVID-19 disease severity

L Vanderbeke, P Van Mol, Y Van Herck… - Nature …, 2021 - nature.com
Epidemiological and clinical reports indicate that SARS-CoV-2 virulence hinges upon the
triggering of an aberrant host immune response, more so than on direct virus-induced …

Souporcell: robust clustering of single-cell RNA-seq data by genotype without reference genotypes

H Heaton, AM Talman, A Knights, M Imaz, DJ Gaffney… - Nature …, 2020 - nature.com
Methods to deconvolve single-cell RNA-sequencing (scRNA-seq) data are necessary for
samples containing a mixture of genotypes, whether they are natural or experimentally …

The single-cell eQTLGen consortium

MGP van der Wijst, DH De Vries, HE Groot, G Trynka… - elife, 2020 - elifesciences.org
In recent years, functional genomics approaches combining genetic information with bulk
RNA-sequencing data have identified the downstream expression effects of disease …

Hyaluronic acid–GPRC5C signalling promotes dormancy in haematopoietic stem cells

YW Zhang, J Mess, N Aizarani, P Mishra… - Nature cell …, 2022 - nature.com
Bone marrow haematopoietic stem cells (HSCs) are vital for lifelong maintenance of healthy
haematopoiesis. In inbred mice housed in gnotobiotic facilities, the top of the haematopoietic …

Multiplexed single-cell transcriptional response profiling to define cancer vulnerabilities and therapeutic mechanism of action

JM McFarland, BR Paolella, A Warren… - Nature …, 2020 - nature.com
Assays to study cancer cell responses to pharmacologic or genetic perturbations are
typically restricted to using simple phenotypic readouts such as proliferation rate. Information …

propeller: testing for differences in cell type proportions in single cell data

B Phipson, CB Sim, ER Porrello, AW Hewitt… - …, 2022 - academic.oup.com
Abstract Motivation Single cell RNA-Sequencing (scRNA-seq) has rapidly gained popularity
over the last few years for profiling the transcriptomes of thousands to millions of single cells …