Single-cell quantification of a broad RNA spectrum reveals unique noncoding patterns associated with cell types and states
The ability to interrogate total RNA content of single cells would enable better mapping of
the transcriptional logic behind emerging cell types and states. However, current single-cell …
the transcriptional logic behind emerging cell types and states. However, current single-cell …
Integrated single cell analysis of human lung fibrosis resolves cellular origins of predictive protein signatures in body fluids
Single cell genomics enables characterization of disease specific cell states, while
improvements in mass spectrometry workflows bring the clinical use of body fluid proteomics …
improvements in mass spectrometry workflows bring the clinical use of body fluid proteomics …
Challenges and opportunities to computationally deconvolve heterogeneous tissue with varying cell sizes using single-cell RNA-sequencing datasets
Deconvolution of cell mixtures in “bulk” transcriptomic samples from homogenate human
tissue is important for understanding disease pathologies. However, several experimental …
tissue is important for understanding disease pathologies. However, several experimental …
Precise identification of cell states altered in disease with healthy single-cell references
Single cell genomics is a powerful tool to distinguish altered cell states in disease tissue
samples, through joint analysis with healthy reference datasets. Collections of data from …
samples, through joint analysis with healthy reference datasets. Collections of data from …
Systematic Evaluation of Cell Type Deconvolution Methods for Plasma Cell-free DNA
Plasma cell-free DNA (cfDNA) is derived from cellular death in various tissues. Investigating
the origin of cfDNA through tissue/cell type deconvolution allows us to detect changes in …
the origin of cfDNA through tissue/cell type deconvolution allows us to detect changes in …
Scalable querying of human cell atlases via a foundational model reveals commonalities across fibrosis-associated macrophages
G Heimberg, T Kuo, D DePianto, T Heigl, N Diamant… - BioRxiv, 2023 - biorxiv.org
Single-cell RNA-seq (scRNA-seq) studies have profiled over 100 million human cells across
diseases, developmental stages, and perturbations to date. A singular view of this vast and …
diseases, developmental stages, and perturbations to date. A singular view of this vast and …
Tissue of origin classification from single cell mRNA expression by Artificial Neural Networks
B Zheng, LYU Minjie, LIN Sen… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Single cell transcriptomics (SCT) enables high-throughput measurement of mRNA
expression concurrently from tens of thousands of single cells. Gene expression profiles in …
expression concurrently from tens of thousands of single cells. Gene expression profiles in …
[HTML][HTML] Cell-free Chromatin Immunoprecipitation to detect molecular pathways in Physiological and Disease States
MK Jang, TE Markowitz, TE Andargie, Z Apalara… - bioRxiv, 2023 - ncbi.nlm.nih.gov
Patient monitoring is a cornerstone in clinical practice to define disease phenotypes and
guide clinical management. Unfortunately, this is often reliant on invasive and/or less …
guide clinical management. Unfortunately, this is often reliant on invasive and/or less …
7 Flexible probabilistic methods to unlock the clinical potential of liquid biopsy sampling
AP McDeed, S Jain, M McNamara… - Journal of Clinical and …, 2024 - cambridge.org
OBJECTIVES/GOALS: Decoding the origins of cell-free DNA (cfDNA) released from dying
cells in a liquid biopsy sample (eg blood) offers the potential to provide insight into the …
cells in a liquid biopsy sample (eg blood) offers the potential to provide insight into the …