2022 - Research.com Rising Star of Science Award
2018 - Fellow of Alfred P. Sloan Foundation
His main research concerns Genetics, Computational biology, Single-cell analysis, Gene expression profiling and Cell. His Computational biology study deals with Embryonic stem cell intersecting with Cellular differentiation. His work in Single-cell analysis tackles topics such as Transcriptome which are related to areas like Messenger RNA.
His Gene expression profiling research includes themes of Phenotype, Regulation of gene expression, Cell biology and Genomics. Alex K. Shalek studied Cell and Cancer research that intersect with Immune system, T cell, Somatic cell and Circulating tumor cell. His Gene expression research focuses on subjects like Sequence analysis, which are linked to Single cell sequencing.
Alex K. Shalek spends much of his time researching Cell, Immunology, Immune system, Computational biology and Cancer research. His study in Cell is interdisciplinary in nature, drawing from both RNA, Phenotype, Gene and Transcriptome. His research ties Single-cell analysis and Transcriptome together.
His Single-cell analysis research integrates issues from Cell biology and Gene expression profiling. His Computational biology research is multidisciplinary, incorporating perspectives in Genetics, RNA-Seq, Gene expression, Bioinformatics and Genomics. His biological study spans a wide range of topics, including Cancer cell, Bone marrow and Immunotherapy.
His primary scientific interests are in Cell, Immune system, Immunology, Transcriptome and Cell biology. His Cell research incorporates elements of Cancer research, Phenotype, RNA, Organoid and Computational biology. Computational biology is closely attributed to Genomics in his study.
Alex K. Shalek combines subjects such as Stromal cell, Downregulation and upregulation, Gene, Virus and Cell type with his study of Immune system. Alex K. Shalek usually deals with Transcriptome and limits it to topics linked to Cytokine and Mucosal associated invariant T cell. His Cell biology study incorporates themes from Cell cycle, Liver function and Single-cell analysis.
His scientific interests lie mostly in Immune system, Computational biology, Immunology, Gene and Cell. Alex K. Shalek has researched Immune system in several fields, including Stromal cell, Transcriptome, Virus, breakpoint cluster region and Cell type. His work in the fields of Transcriptome, such as RNA-Seq, intersects with other areas such as Erythropoiesis.
His work deals with themes such as Brain tissue and Genomics, which intersect with Computational biology. As a part of the same scientific study, Alex K. Shalek usually deals with the Immunology, concentrating on Disease and frequently concerns with Human cell. Alex K. Shalek interconnects RNA, Dimensionality reduction, Cluster analysis and Gene regulatory network in the investigation of issues within Cell.
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Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets
Evan Z. Macosko;Evan Z. Macosko;Anindita Basu;Anindita Basu;Rahul Satija;Rahul Satija;James Nemesh;James Nemesh.
Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma
Anoop Premswaroop Patel;I. Tirosh;J. J. Trombetta;Alexander Kann Shalek.
Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq
Itay Tirosh;Benjamin Izar;Benjamin Izar;Sanjay M. Prakadan;Marc H. Wadsworth.
SARS-CoV-2 Receptor ACE2 Is an Interferon-Stimulated Gene in Human Airway Epithelial Cells and Is Detected in Specific Cell Subsets across Tissues.
Carly G.K. Ziegler;Samuel J. Allon;Sarah K. Nyquist;Ian M. Mbano.
MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data
Greg Finak;Andrew McDavid;Masanao Yajima;Jingyuan Deng.
Genome Biology (2015)
SARS-CoV-2 Receptor ACE2 is an Interferon-Stimulated Gene in Human Airway Epithelial Cells and Is Enriched in Specific Cell Subsets Across Tissues
Carly Ziegler;Samuel J. Allon;Sarah K. Nyquist;Ian Mbano.
Social Science Research Network (2020)
Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells
Alex K. Shalek;Rahul Satija;Xian Adiconis;Rona S. Gertner.
The Human Cell Atlas
Aviv Regev;Aviv Regev;Aviv Regev;Sarah A Teichmann;Sarah A Teichmann;Sarah A Teichmann;Eric S Lander;Eric S Lander;Eric S Lander;Ido Amit.
Single-cell RNA-seq reveals dynamic paracrine control of cellular variation
Alex K. Shalek;Rahul Satija;Joe Shuga;John J. Trombetta.
Reconstructing and Reprogramming the Tumor-Propagating Potential of Glioblastoma Stem-like Cells
Mario Luca Suva;Mario Luca Suva;Mario Luca Suva;Esther Rheinbay;Esther Rheinbay;Esther Rheinbay;Shawn M. Gillespie;Shawn M. Gillespie;Shawn M. Gillespie;Anoop Premswaroop Patel;Anoop Premswaroop Patel.
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