Cargando…

Single-cell RNA-seq analysis identifies markers of resistance to targeted BRAF inhibitors in melanoma cell populations

Single-cell RNA-seq's (scRNA-seq) unprecedented cellular resolution at a genome-wide scale enables us to address questions about cellular heterogeneity that are inaccessible using methods that average over bulk tissue extracts. However, scRNA-seq data sets also present additional challenges suc...

Descripción completa

Detalles Bibliográficos
Autores principales:	Ho, Yu-Jui, Anaparthy, Naishitha, Molik, David, Mathew, Grinu, Aicher, Toby, Patel, Ami, Hicks, James, Hammell, Molly Gale
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Cold Spring Harbor Laboratory Press 2018
Materias:	Method
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6120620/ https://www.ncbi.nlm.nih.gov/pubmed/30061114 http://dx.doi.org/10.1101/gr.234062.117

Ejemplares similares

TEsmall Identifies Small RNAs Associated With Targeted Inhibitor Resistance in Melanoma
por: O’Neill, Kathryn, et al.
Publicado: (2018)

Feature selection and dimension reduction for single-cell RNA-Seq based on a multinomial model
por: Townes, F. William, et al.
Publicado: (2019)

CEL-Seq2: sensitive highly-multiplexed single-cell RNA-Seq
por: Hashimshony, Tamar, et al.
Publicado: (2016)

SCRABBLE: single-cell RNA-seq imputation constrained by bulk RNA-seq data
por: Peng, Tao, et al.
Publicado: (2019)

SMURF-seq: efficient copy number profiling on long-read sequencers
por: Prabakar, Rishvanth K., et al.
Publicado: (2019)

ROTS: reproducible RNA-seq biomarker detector—prognostic markers for clear cell renal cell cancer
por: Seyednasrollah, Fatemeh, et al.
Publicado: (2016)

A deep generative model for multi-view profiling of single-cell RNA-seq and ATAC-seq data
por: Li, Gaoyang, et al.
Publicado: (2022)

Holo-Seq: single-cell sequencing of holo-transcriptome
por: Xiao, Zhengyun, et al.
Publicado: (2018)

Classification of low quality cells from single-cell RNA-seq data
por: Ilicic, Tomislav, et al.
Publicado: (2016)

Single-cell ATAC-seq signal extraction and enhancement with SCATE
por: Ji, Zhicheng, et al.
Publicado: (2020)

Genotype-free demultiplexing of pooled single-cell RNA-seq
por: Xu, Jun, et al.
Publicado: (2019)

SeqOthello: querying RNA-seq experiments at scale
por: Yu, Ye, et al.
Publicado: (2018)

Simulation-based benchmarking of isoform quantification in single-cell RNA-seq
por: Westoby, Jennifer, et al.
Publicado: (2018)

Decontamination of ambient RNA in single-cell RNA-seq with DecontX
por: Yang, Shiyi, et al.
Publicado: (2020)

simATAC: a single-cell ATAC-seq simulation framework
por: Navidi, Zeinab, et al.
Publicado: (2021)

De novo prediction of cell-type complexity in single-cell RNA-seq and tumor microenvironments
por: Woo, Jun, et al.
Publicado: (2019)

Characterizing and inferring quantitative cell cycle phase in single-cell RNA-seq data analysis
por: Hsiao, Chiaowen Joyce, et al.
Publicado: (2020)

Characterization of chromatin accessibility with a transposome hypersensitive sites sequencing (THS-seq) assay
por: Sos, Brandon Chin, et al.
Publicado: (2016)

Beyondcell: targeting cancer therapeutic heterogeneity in single-cell RNA-seq data
por: Fustero-Torre, Coral, et al.
Publicado: (2021)

Modeling group heteroscedasticity in single-cell RNA-seq pseudo-bulk data
por: You, Yue, et al.
Publicado: (2023)

MetaCell: analysis of single-cell RNA-seq data using K-nn graph partitions
por: Baran, Yael, et al.
Publicado: (2019)

TraSig: inferring cell-cell interactions from pseudotime ordering of scRNA-Seq data
por: Li, Dongshunyi, et al.
Publicado: (2022)

SMOOTH-seq: single-cell genome sequencing of human cells on a third-generation sequencing platform
por: Fan, Xiaoying, et al.
Publicado: (2021)

CellSIUS provides sensitive and specific detection of rare cell populations from complex single-cell RNA-seq data
por: Wegmann, Rebekka, et al.
Publicado: (2019)

EPISCORE: cell type deconvolution of bulk tissue DNA methylomes from single-cell RNA-Seq data
por: Teschendorff, Andrew E., et al.
Publicado: (2020)

scPred: accurate supervised method for cell-type classification from single-cell RNA-seq data
por: Alquicira-Hernandez, Jose, et al.
Publicado: (2019)

CellPhy: accurate and fast probabilistic inference of single-cell phylogenies from scDNA-seq data
por: Kozlov, Alexey, et al.
Publicado: (2022)

A statistical approach for identifying differential distributions in single-cell RNA-seq experiments
por: Korthauer, Keegan D., et al.
Publicado: (2016)

f-scLVM: scalable and versatile factor analysis for single-cell RNA-seq
por: Buettner, Florian, et al.
Publicado: (2017)

Fast and accurate single-cell RNA-seq analysis by clustering of transcript-compatibility counts
por: Ntranos, Vasilis, et al.
Publicado: (2016)

IDEAS: individual level differential expression analysis for single-cell RNA-seq data
por: Zhang, Mengqi, et al.
Publicado: (2022)

SLAM‐Drop‐seq reveals mRNA kinetic rates throughout the cell cycle
por: Liu, Haiyue, et al.
Publicado: (2023)

BALDR: a computational pipeline for paired heavy and light chain immunoglobulin reconstruction in single-cell RNA-seq data
por: Upadhyay, Amit A., et al.
Publicado: (2018)

CETCh-seq: CRISPR epitope tagging ChIP-seq of DNA-binding proteins
por: Savic, Daniel, et al.
Publicado: (2015)

Single-cell RNA-seq of human induced pluripotent stem cells reveals cellular heterogeneity and cell state transitions between subpopulations
por: Nguyen, Quan H., et al.
Publicado: (2018)

One Cell At a Time (OCAT): a unified framework to integrate and analyze single-cell RNA-seq data
por: Wang, Chloe X., et al.
Publicado: (2022)

redPATH: Reconstructing the Pseudo Development Time of Cell Lineages in Single-cell RNA-seq Data and Applications in Cancer
por: Xie, Kaikun, et al.
Publicado: (2021)

spSeudoMap: cell type mapping of spatial transcriptomics using unmatched single-cell RNA-seq data
por: Bae, Sungwoo, et al.
Publicado: (2023)

ReadZS detects cell type-specific and developmentally regulated RNA processing programs in single-cell RNA-seq
por: Meyer, Elisabeth, et al.
Publicado: (2022)

Integrative analysis with ChIP-seq advances the limits of transcript quantification from RNA-seq
por: Liu, Peng, et al.
Publicado: (2016)

Cannot write session to /tmp/vufind_sessions/sess_au7bq8edktqbdi9ehs22mp77ep