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Dive into the research topics where Rona S. Gertner is active.

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Featured researches published by Rona S. Gertner.


Nature | 2013

Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells

Alex K. Shalek; Rahul Satija; Xian Adiconis; Rona S. Gertner; Jellert T. Gaublomme; Raktima Raychowdhury; Schraga Schwartz; Nir Yosef; Christine M. Malboeuf; Diana Lu; John J. Trombetta; Dave Gennert; Andreas Gnirke; Alon Goren; Nir Hacohen; Joshua Z. Levin; Hongkun Park; Aviv Regev

Recent molecular studies have shown that, even when derived from a seemingly homogenous population, individual cells can exhibit substantial differences in gene expression, protein levels and phenotypic output, with important functional consequences. Existing studies of cellular heterogeneity, however, have typically measured only a few pre-selected RNAs or proteins simultaneously, because genomic profiling methods could not be applied to single cells until very recently. Here we use single-cell RNA sequencing to investigate heterogeneity in the response of mouse bone-marrow-derived dendritic cells (BMDCs) to lipopolysaccharide. We find extensive, and previously unobserved, bimodal variation in messenger RNA abundance and splicing patterns, which we validate by RNA-fluorescence in situ hybridization for select transcripts. In particular, hundreds of key immune genes are bimodally expressed across cells, surprisingly even for genes that are very highly expressed at the population average. Moreover, splicing patterns demonstrate previously unobserved levels of heterogeneity between cells. Some of the observed bimodality can be attributed to closely related, yet distinct, known maturity states of BMDCs; other portions reflect differences in the usage of key regulatory circuits. For example, we identify a module of 137 highly variable, yet co-regulated, antiviral response genes. Using cells from knockout mice, we show that variability in this module may be propagated through an interferon feedback circuit, involving the transcriptional regulators Stat2 and Irf7. Our study demonstrates the power and promise of single-cell genomics in uncovering functional diversity between cells and in deciphering cell states and circuits.


Nature | 2014

Single cell RNA Seq reveals dynamic paracrine control of cellular variation

Alex K. Shalek; Rahul Satija; Joe Shuga; John J. Trombetta; Dave Gennert; Diana Lu; Peilin Chen; Rona S. Gertner; Jellert T. Gaublomme; Nir Yosef; Schraga Schwartz; Brian Fowler; Suzanne Weaver; Jing-jing Wang; Xiaohui Wang; Ruihua Ding; Raktima Raychowdhury; Nir Friedman; Nir Hacohen; Hongkun Park; Andrew May; Aviv Regev

High-throughput single-cell transcriptomics offers an unbiased approach for understanding the extent, basis and function of gene expression variation between seemingly identical cells. Here we sequence single-cell RNA-seq libraries prepared from over 1,700 primary mouse bone-marrow-derived dendritic cells spanning several experimental conditions. We find substantial variation between identically stimulated dendritic cells, in both the fraction of cells detectably expressing a given messenger RNA and the transcript’s level within expressing cells. Distinct gene modules are characterized by different temporal heterogeneity profiles. In particular, a ‘core’ module of antiviral genes is expressed very early by a few ‘precocious’ cells in response to uniform stimulation with a pathogenic component, but is later activated in all cells. By stimulating cells individually in sealed microfluidic chambers, analysing dendritic cells from knockout mice, and modulating secretion and extracellular signalling, we show that this response is coordinated by interferon-mediated paracrine signalling from these precocious cells. Notably, preventing cell-to-cell communication also substantially reduces variability between cells in the expression of an early-induced ‘peaked’ inflammatory module, suggesting that paracrine signalling additionally represses part of the inflammatory program. Our study highlights the importance of cell-to-cell communication in controlling cellular heterogeneity and reveals general strategies that multicellular populations can use to establish complex dynamic responses.


Proceedings of the National Academy of Sciences of the United States of America | 2010

Vertical silicon nanowires as a universal platform for delivering biomolecules into living cells

Alex K. Shalek; Jacob T. Robinson; Ethan S. Karp; Jin Seok Lee; Dae-Ro Ahn; Myung-Han Yoon; Amy Sutton; Marsela Jorgolli; Rona S. Gertner; Taranjit S. Gujral; Gavin MacBeath; Eun Gyeong Yang; Hongkun Park

A generalized platform for introducing a diverse range of biomolecules into living cells in high-throughput could transform how complex cellular processes are probed and analyzed. Here, we demonstrate spatially localized, efficient, and universal delivery of biomolecules into immortalized and primary mammalian cells using surface-modified vertical silicon nanowires. The method relies on the ability of the silicon nanowires to penetrate a cell’s membrane and subsequently release surface-bound molecules directly into the cell’s cytosol, thus allowing highly efficient delivery of biomolecules without chemical modification or viral packaging. This modality enables one to assess the phenotypic consequences of introducing a broad range of biological effectors (DNAs, RNAs, peptides, proteins, and small molecules) into almost any cell type. We show that this platform can be used to guide neuronal progenitor growth with small molecules, knock down transcript levels by delivering siRNAs, inhibit apoptosis using peptides, and introduce targeted proteins to specific organelles. We further demonstrate codelivery of siRNAs and proteins on a single substrate in a microarray format, highlighting this technology’s potential as a robust, monolithic platform for high-throughput, miniaturized bioassays.


Nature Nanotechnology | 2012

Vertical nanowire electrode arrays as a scalable platform for intracellular interfacing to neuronal circuits

Jacob T. Robinson; Marsela Jorgolli; Alex K. Shalek; Myung-Han Yoon; Rona S. Gertner; Hongkun Park

Deciphering the neuronal code--the rules by which neuronal circuits store and process information--is a major scientific challenge. Currently, these efforts are impeded by a lack of experimental tools that are sensitive enough to quantify the strength of individual synaptic connections and also scalable enough to simultaneously measure and control a large number of mammalian neurons with single-cell resolution. Here, we report a scalable intracellular electrode platform based on vertical nanowires that allows parallel electrical interfacing to multiple mammalian neurons. Specifically, we show that our vertical nanowire electrode arrays can intracellularly record and stimulate neuronal activity in dissociated cultures of rat cortical neurons and can also be used to map multiple individual synaptic connections. The scalability of this platform, combined with its compatibility with silicon nanofabrication techniques, provides a clear path towards simultaneous, high-fidelity interfacing with hundreds of individual neurons.


international symposium on circuits and systems | 2017

CMOS-nano-bio interface array for cardiac and neuro technology

Jeffrey Abbott; Tianyang Ye; Ling Qin; Marsela Jorgolli; Rona S. Gertner; Donhee Ham; Hongkun Park

Optical methods based on voltage sensitive proteins and Ca2+/voltage sensitive dyes have significantly benefited the field of electrophysiology, parallelizing intracellular recording from a network of electrogenic cells. Creating an analogous all-electrical device — an electrode array capable of intracellular recording from a network of electrogenic cells — has long been an outstanding challenge. On the one hand, though the CMOS microelectrode array has enabled network-level studies with massive parallelism, its extracellular interface has a limited sensitivity. On the other hand, planar patch clamp arrays achieve intracellular access but are not applicable to network-level interrogations. We will present our recent development of a CMOS nanoelectrode array that combines both parallel and intracellular features for high-precision recording across a large network of electrogenic cells, and its outlooks in neurobiology and cardiology.


Nature Nanotechnology | 2017

CMOS nanoelectrode array for all-electrical intracellular electrophysiological imaging

Jeffrey Abbott; Tianyang Ye; Ling Qin; Marsela Jorgolli; Rona S. Gertner; Donhee Ham; Hongkun Park


custom integrated circuits conference | 2018

CMOS electronics probe inside a cellular network — Invited review paper

Jeffrey Abbott; Ling Qin; Tianyang Ye; Marsela Jorgolli; Rona S. Gertner; Hongkun Park; Donhee Ham


PMC | 2015

Single-Cell Genomics Unveils Critical Regulators of Th17 Cell Pathogenicity

Jellert T. Gaublomme; Nir Yosef; Youjin Lee; Rona S. Gertner; Li V. Yang; Chuan Wu; Pier Paolo Pandolfi; Tak W. Mak; Rahul Satija; Vijay K. Kuchroo; Hongkun Park; Aviv Regev; Alex K. Shalek


PMC | 2014

Single-cell RNA-seq reveals dynamic paracrine control of cellular variation

Rahul Satija; Joe Shuga; John J. Trombetta; David Gennert; Diana Lu; Peilin Chen; Rona S. Gertner; Jellert T. Gaublomme; Nir Yosef; Schraga Schwartz; Brian Fowler; Suzanne Weaver; Jing Wang; Xiaohui Wang; Ruihua Ding; Raktima Raychowdhury; Nir Friedman; Nir Hacohen; Hongkun Park; Andrew May; Aviv Regev; Alex K. Shalek


PMC | 2012

Nanowire-Mediated Delivery Enables Functional Interrogation of Primary Immune Cells: Application to the Analysis of Chronic Lymphocytic Leukemia

Alex K. Shalek; Jellert T. Gaublomme; Lili Wang; Nir Yosef; Nicolas Chevrier; Mette S. Andersen; Jacob T. Robinson; Nathalie Pochet; Donna Neuberg; Rona S. Gertner; Ido Amit; Jennifer R. Brown; Nir Hacohen; Aviv Regev; Catherine J. Wu; Hongkun Park

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Aviv Regev

Massachusetts Institute of Technology

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Nir Yosef

University of California

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