[HTML][HTML] Unbiased spatial proteomics with single-cell resolution in tissues
Mass spectrometry (MS)-based proteomics has become a powerful technology to quantify
the entire complement of proteins in cells or tissues. Here, we review challenges and recent …
the entire complement of proteins in cells or tissues. Here, we review challenges and recent …
The triumphs and limitations of computational methods for scRNA-seq
PV Kharchenko - Nature methods, 2021 - nature.com
The rapid progress of protocols for sequencing single-cell transcriptomes over the past
decade has been accompanied by equally impressive advances in the computational …
decade has been accompanied by equally impressive advances in the computational …
Joint probabilistic modeling of single-cell multi-omic data with totalVI
The paired measurement of RNA and surface proteins in single cells with cellular indexing
of transcriptomes and epitopes by sequencing (CITE-seq) is a promising approach to …
of transcriptomes and epitopes by sequencing (CITE-seq) is a promising approach to …
Ultra‐high sensitivity mass spectrometry quantifies single‐cell proteome changes upon perturbation
AD Brunner, M Thielert, C Vasilopoulou… - Molecular systems …, 2022 - embopress.org
Single‐cell technologies are revolutionizing biology but are today mainly limited to imaging
and deep sequencing. However, proteins are the main drivers of cellular function and in …
and deep sequencing. However, proteins are the main drivers of cellular function and in …
[HTML][HTML] Zero-preserving imputation of single-cell RNA-seq data
A key challenge in analyzing single cell RNA-sequencing data is the large number of false
zeros, where genes actually expressed in a given cell are incorrectly measured as …
zeros, where genes actually expressed in a given cell are incorrectly measured as …
[HTML][HTML] Comparison and evaluation of statistical error models for scRNA-seq
S Choudhary, R Satija - Genome biology, 2022 - Springer
Background Heterogeneity in single-cell RNA-seq (scRNA-seq) data is driven by multiple
sources, including biological variation in cellular state as well as technical variation …
sources, including biological variation in cellular state as well as technical variation …
Tutorial: guidelines for the computational analysis of single-cell RNA sequencing data
Single-cell RNA sequencing (scRNA-seq) is a popular and powerful technology that allows
you to profile the whole transcriptome of a large number of individual cells. However, the …
you to profile the whole transcriptome of a large number of individual cells. However, the …
[HTML][HTML] Host-viral infection maps reveal signatures of severe COVID-19 patients
Viruses are a constant threat to global health as highlighted by the current COVID-19
pandemic. Currently, lack of data underlying how the human host interacts with viruses …
pandemic. Currently, lack of data underlying how the human host interacts with viruses …
Longitudinal single-cell RNA-seq analysis reveals stress-promoted chemoresistance in metastatic ovarian cancer
Chemotherapy resistance is a critical contributor to cancer mortality and thus an urgent
unmet challenge in oncology. To characterize chemotherapy resistance processes in high …
unmet challenge in oncology. To characterize chemotherapy resistance processes in high …
Orchestrating single-cell analysis with Bioconductor
Recent technological advancements have enabled the profiling of a large number of
genome-wide features in individual cells. However, single-cell data present unique …
genome-wide features in individual cells. However, single-cell data present unique …