On the Dependency of Cellular Protein Levels on mRNA Abundance

Cell, Journal Year: 2016, Volume and Issue: 165(3), P. 535 - 550

Published: April 1, 2016

Language: Английский

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The history and advances in cancer immunotherapy: understanding the characteristics of tumor-infiltrating immune cells and their therapeutic implications

Cellular and Molecular Immunology, Journal Year: 2020, Volume and Issue: 17(8), P. 807 - 821

Published: July 1, 2020

Abstract Immunotherapy has revolutionized cancer treatment and rejuvenated the field of tumor immunology. Several types immunotherapy, including adoptive cell transfer (ACT) immune checkpoint inhibitors (ICIs), have obtained durable clinical responses, but their efficacies vary, only subsets patients can benefit from them. Immune infiltrates in microenvironment (TME) been shown to play a key role development will affect outcomes patients. Comprehensive profiling tumor-infiltrating cells would shed light on mechanisms cancer–immune evasion, thus providing opportunities for novel therapeutic strategies. However, highly heterogeneous dynamic nature TME impedes precise dissection intratumoral cells. With recent advances single-cell technologies such as RNA sequencing (scRNA-seq) mass cytometry, systematic interrogation is feasible provide insights into functional diversities In this review, we outline progress particularly by focusing landmark studies characterization tumor-associated cells, summarize phenotypic connections with immunotherapy. We believe review could strengthen our understanding facilitate elucidation modulation progression, guide immunotherapies treatment.

Language: Английский

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The Human Cell Atlas

eLife, Journal Year: 2017, Volume and Issue: 6

Published: Dec. 5, 2017

The recent advent of methods for high-throughput single-cell molecular profiling has catalyzed a growing sense in the scientific community that time is ripe to complete 150-year-old effort identify all cell types human body. Human Cell Atlas Project an international collaborative aims define terms distinctive profiles (such as gene expression profiles) and connect this information with classical cellular descriptions location morphology). An open comprehensive reference map state cells healthy tissues would propel systematic study physiological states, developmental trajectories, regulatory circuitry interactions cells, also provide framework understanding dysregulation disease. Here we describe idea, its potential utility, early proofs-of-concept, some design considerations Atlas, including commitment data, code, community.

Language: Английский

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Mass Cytometry: Single Cells, Many Features

Cell, Journal Year: 2016, Volume and Issue: 165(4), P. 780 - 791

Published: May 1, 2016

Language: Английский

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Eleven grand challenges in single-cell data science

Genome biology, Journal Year: 2020, Volume and Issue: 21(1)

Published: Feb. 7, 2020

Abstract The recent boom in microfluidics and combinatorial indexing strategies, combined with low sequencing costs, has empowered single-cell technology. Thousands—or even millions—of cells analyzed a single experiment amount to data revolution biology pose unique science problems. Here, we outline eleven challenges that will be central bringing this emerging field of forward. For each challenge, highlight motivating research questions, review prior work, formulate open This compendium is for established researchers, newcomers, students alike, highlighting interesting rewarding problems the coming years.

Language: Английский

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T Cell Dysfunction in Cancer

Cancer Cell, Journal Year: 2018, Volume and Issue: 33(4), P. 547 - 562

Published: April 1, 2018

Language: Английский

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A Structured Tumor-Immune Microenvironment in Triple Negative Breast Cancer Revealed by Multiplexed Ion Beam Imaging

Cell, Journal Year: 2018, Volume and Issue: 174(6), P. 1373 - 1387.e19

Published: Sept. 1, 2018

Language: Английский

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A practical guide to single-cell RNA-sequencing for biomedical research and clinical applications

Genome Medicine, Journal Year: 2017, Volume and Issue: 9(1)

Published: Aug. 18, 2017

RNA sequencing (RNA-seq) is a genomic approach for the detection and quantitative analysis of messenger molecules in biological sample useful studying cellular responses. RNA-seq has fueled much discovery innovation medicine over recent years. For practical reasons, technique usually conducted on samples comprising thousands to millions cells. However, this hindered direct assessment fundamental unit biology-the cell. Since first single-cell RNA-sequencing (scRNA-seq) study was published 2009, many more have been conducted, mostly by specialist laboratories with unique skills wet-lab genomics, bioinformatics, computation. increasing commercial availability scRNA-seq platforms, rapid ongoing maturation bioinformatics approaches, point reached where any biomedical researcher or clinician can use make exciting discoveries. In review, we present guide help researchers design their studies, including introductory information experimental hardware, protocol choice, quality control, data interpretation.

Language: Английский

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An Immune Atlas of Clear Cell Renal Cell Carcinoma

Cell, Journal Year: 2017, Volume and Issue: 169(4), P. 736 - 749.e18

Published: May 1, 2017

Language: Английский

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Guidelines for the use of flow cytometry and cell sorting in immunological studies (second edition)

European Journal of Immunology, Journal Year: 2019, Volume and Issue: 49(10), P. 1457 - 1973

Published: Oct. 1, 2019

These guidelines are a consensus work of considerable number members the immunology and flow cytometry community. They provide theory key practical aspects enabling immunologists to avoid common errors that often undermine immunological data. Notably, there comprehensive sections all major immune cell types with helpful Tables detailing phenotypes in murine human cells. The latest techniques applications also described, featuring examples data can be generated and, importantly, how analysed. Furthermore, tips, tricks pitfalls avoid, written peer-reviewed by leading experts field, making this an essential research companion.

Language: Английский

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