Noorsher Ahmed

ORCID: 0000-0003-1701-3994
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About
Contact & Profiles
Research Areas
  • RNA Research and Splicing
  • Single-cell and spatial transcriptomics
  • Innovative Microfluidic and Catalytic Techniques Innovation
  • RNA modifications and cancer
  • Molecular Biology Techniques and Applications
  • Gender Diversity and Inequality
  • RNA and protein synthesis mechanisms
  • Diversity and Career in Medicine
  • Advanced Data Storage Technologies
  • COVID-19 and healthcare impacts
  • COVID-19 diagnosis using AI
  • Data-Driven Disease Surveillance
  • Career Development and Diversity
  • COVID-19 epidemiological studies
  • COVID-19 Clinical Research Studies
  • Cell Image Analysis Techniques
  • Evolution and Genetic Dynamics
  • Electrowetting and Microfluidic Technologies
  • SARS-CoV-2 detection and testing
  • Sex and Gender in Healthcare
  • Microfluidic and Capillary Electrophoresis Applications
  • SARS-CoV-2 and COVID-19 Research
  • Immune cells in cancer
  • CRISPR and Genetic Engineering

University of California, San Diego
2020-2024

Sanford Consortium for Regenerative Medicine
2021

QB3
2016-2017

University of California, San Francisco
2016-2017

Quantitative BioSciences
2017

University of California System
2017

Abstract The spatial organization of molecules in a cell is essential for their functions. While current methods focus on discerning tissue architecture, cell–cell interactions, and expression patterns, they are limited to the multicellular scale. We present Bento, Python toolkit that takes advantage single-molecule information enable analysis at subcellular Bento ingests molecular coordinates segmentation boundaries perform three analyses: defining domains, annotating localization...

10.1186/s13059-024-03217-7 article EN cc-by Genome biology 2024-04-02

Abstract The spatial organization of molecules in a cell is essential for performing their functions. Spatial transcriptomics technologies have opened the door to characterization cellular and subcellular organization. While current computational methods focus on discerning tissue architecture, cell-cell interactions expression patterns, these approaches are limited investigating variation at multicellular scale. We present Bento, Python toolkit that fully takes advantage single-molecule...

10.1101/2022.06.10.495510 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2022-06-13

We describe a simple bulk method to prepare double emulsions for high-throughput analysis and sorting with flow cytometers.

10.1039/c7an01695f article EN cc-by-nc The Analyst 2017-01-01

Microfluidic devices are valuable for a variety of biotechnology applications, such as synthesizing biochemical libraries, screening enzymes, and analyzing single cells. However, normally, the controlled using specialized pumps, which require expert knowledge to operate. Here, we demonstrate operation poly(dimethylsiloxane) without pumps. We build scaffold that holds device reagents be infused in format can inserted into 50 mL falcon tube spun common lab centrifuge. By controlling design...

10.3390/mi7090161 article EN cc-by Micromachines 2016-09-06

A specimen to data tracking tool for SEARCH SARS-CoV-2 tests. The application is used by technicians track samples as they proceed through each step within the RT-qPCR testing workflow. app currently hosted here: http://inspect-covid.com/qpcr_records/

10.17504/protocols.io.bis8kehw preprint EN 2020-07-20
Sydney Morgan Stefan Aigner Catelyn Anderson Pedro Belda‐Ferre Peter De Hoff and 95 more Clarisse Marotz Shashank Sathe Mark Zeller Noorsher Ahmed Xaver Audhya Nathan A. Baer Tom Barber Bethany Barrick Lakshmi E. Batachari Maryann Betty Steven M. Blue Brent Brainard Tyler Buckley Jamie Case Anelizze Castro-Martínez Marisol Chacón Willi Cheung LaVonnye Chong Nicole G. Coufal Evelyn S. Crescini Scott DeGrand David Dimmock J. Joelle Donofrio-Ödmann Emily Eisner Mehrbod Estaki Lizbeth Franco Vargas Michele Freddock Robert M. Gallant Andrea Galmozzi Nina J. Gao Sheldon Gilmer Edyta M. Grzelak Abbas Hakim Jonathan Hart Charlotte A. Hobbs Greg Humphrey Nadja Ilkenhans Marni Jacobs Christopher A. Kahn Bhavika K. Kapadia Matthew Kim Sunil M. Kurian Alma L. Lastrella Elijah S. Lawrence Kari Lee Qishan Liang Hanna Liliom Valentina Lo Sardo Robert Logan Michal Machnicki Celestine Magallanes Clarence K Mah Denise Malacki Ryan J. Marina Christopher L. Marsh Natasha K. Martin Nathaniel L. Matteson Daniel Maunder Kyle McBride Bryan McDonald Daniel McDonald Michelle McGraw Audra R. Meadows Michelle N. Meyer Amber L. Morey Jasmine R. Mueller Toan T. Ngo Julie Nguyen Nguyễn Hoàng Việt Laura Nicholson Alhakam Nouri Victoria Nudell Eugenio Nunez Kyle O’Neill R. Tyler Ostrander Priyadarshini Pantham Samuel S. Park David Picone Ashley Plascencia Isaraphorn Pratumchai Michael Quigley Michelle Franc Ragsac Andrew Richardson Refugio Robles‐Sikisaka Christopher A. Ruiz Justin Ryan Lisa Sacco Sharada Saraf Phoebe Seaver Leigh M. Sewall Elizabeth W. Smoot Kathleen Sweeney Chandana Tekkatte Rebecca Tsai Holly Valentine

Abstract Background Successful containment strategies for SARS-CoV-2, the causative virus of COVID-19 pandemic, have involved widespread population testing that identifies infections early and enables rapid contact tracing. In this study, we developed a inexpensive RT- qPCR pipeline population-level SARS-CoV-2 detection, used to establish clinical laboratory dedicated at University California San Diego (UCSD) with processing capacity 6,000 samples per day next-day result turnaround times....

10.1101/2021.06.25.21257885 preprint EN cc-by-nd medRxiv (Cold Spring Harbor Laboratory) 2021-06-28
Sydney Morgan Stefan Aigner Catelyn Anderson Pedro Belda‐Ferre Peter De Hoff and 95 more Clarisse Marotz Shashank Sathe Mark Zeller Noorsher Ahmed Xaver Audhya Nathan A. Baer Tom Barber Bethany Barrick Lakshmi E. Batachari Maryann Betty Steven M. Blue Brent Brainard Tyler Buckley Jamie Case Anelizze Castro-Martínez Marisol Chacón Willi Cheung LaVonnye Chong Nicole G. Coufal Evelyn S. Crescini Scott DeGrand David Dimmock J. Joelle Donofrio-Ödmann Emily Eisner Mehrbod Estaki Lizbeth Franco Vargas Michelle Freddock Robert M. Gallant Andrea Galmozzi Nina J. Gao Sheldon Gilmer Edyta M. Grzelak Abbas Hakim Jonathan Hart Charlotte A. Hobbs Gregory Humphrey Nadja Ilkenhans Marni Jacobs Christopher A. Kahn Bhavika K. Kapadia Matthew Kim Sunil M. Kurian Alma L. Lastrella Elijah S. Lawrence Kari Lee Qishan Liang Hanna Liliom Valentina Lo Sardo Robert Logan Michal Machnicki Celestine Magallanes Clarence K. Mah Denise Malacki Ryan J. Marina Christopher L. Marsh Natasha K. Martin Nathaniel L. Matteson Daniel Maunder Kyle McBride Bryan McDonald Michelle McGraw Audra R. Meadows Michelle N. Meyer Amber Morey Jasmine R. Mueller Toan T. Ngo Nguyễn Hoàng Việt Laura Nicholson Alhakam Nouri Victoria Nudell Eugenio Nunez Kyle O apos Neill R. Tyler Ostrander Priyadarshini Pantham Samuel S. Park David Picone Ashley Plascencia Isaraphorn Pratumchai Michael Quigley Michelle Franc Ragsac Andrew Richardson Refugio Robles‐Sikisaka Christopher A. Ruiz Justin Ryan Lisa Sacco Sharada Saraf Phoebe Seaver Leigh M. Sewall Elizabeth W. Smoot Kathleen Sweeney Chandana Tekkatte Rebecca Tsai Holly Valentine Shawn I. Walsh August Williams

Background: Successful containment strategies for SARS-CoV-2, the causative virus of COVID-19 pandemic, have involved widespread population testing that identifies infections early and enables rapid contact tracing.In this study, we developed a inexpensive RT-qPCR pipeline population-level SARS-CoV-2 detection, used to establish clinical laboratory dedicated at University California San Diego (UCSD) with processing capacity 6,000 samples per day next-day result turnaround times.Methods...

10.2139/ssrn.3865239 article EN SSRN Electronic Journal 2021-01-01

Disparities for women and minorities in science, technology, engineering, math (STEM) careers have continued even amidst mounting evidence the superior performance of diverse workforces. In response, we launched Diversity Science Lecture series, a cross-institutional platform where junior life scientists present their research comment on diversity, equity, inclusion STEM. We characterize speaker representation from 79 profiles investigate topic noteworthiness via quantitative content...

10.1371/journal.pone.0293322 article EN cc-by PLoS ONE 2023-11-02

Abstract We present Bento, a Python toolkit for subcellular spatial analysis of RNA, implementing tools ingesting highly-multiplexed transcriptomics data, visualization, detection RNA localization patterns, identification cell states, and statistics. applied our methods to analyze multiple datasets from variety platforms, including seqFISH+ (10k in cultured mouse fibroblast cells) MERFISH (130 U2-OS cells), the Spatial Molecular Imager (980 FFPE NSCLC breast cancer tumors) show how can be...

10.1158/1538-7445.am2022-1207 article EN Cancer Research 2022-06-15

Abstract Disparities for women and minorities in science, technology, engineering, math (STEM) careers have continued even amidst mounting evidence the superior performance of diverse workforces. In response, we launched Diversity Science Lecture series, a cross-institutional platform where junior life scientists present their research comment on equity, diversity, inclusion STEM. We characterize speaker representation from 79 profiles investigate topic noteworthiness via quantitative...

10.1101/2021.12.05.471284 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2021-12-07
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