Andrea Matlock

ORCID: 0000-0003-3549-674X
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Amyotrophic Lateral Sclerosis Research
  • Advanced Proteomics Techniques and Applications
  • Neurogenetic and Muscular Disorders Research
  • Epigenetics and DNA Methylation
  • Bioinformatics and Genomic Networks
  • Metabolomics and Mass Spectrometry Studies
  • Mass Spectrometry Techniques and Applications
  • Ubiquitin and proteasome pathways
  • Parkinson's Disease Mechanisms and Treatments
  • Prion Diseases and Protein Misfolding
  • Genomics and Rare Diseases
  • Biotin and Related Studies
  • Biomedical Text Mining and Ontologies
  • Machine Learning in Bioinformatics
  • Cell Image Analysis Techniques
  • Biomedical and Engineering Education
  • Genetic Neurodegenerative Diseases
  • Single-cell and spatial transcriptomics
  • Mitochondrial Function and Pathology
  • Muscle Physiology and Disorders

Cedars-Sinai Medical Center
2016-2025

Cedars-Sinai Smidt Heart Institute
2021-2024

Emily G. Baxi Terri G. Thompson Jonathan Li Julia Kaye Ryan G. Lim and 95 more Jie Wu Divya Ramamoorthy Leandro de Araújo Lima Vineet Vaibhav Andrea Matlock Aaron P. Frank Alyssa N. Coyne Barry Landin Loren Ornelas Elizabeth Mosmiller Sara Thrower S. Michelle Farr Lindsey Panther Emilda Gomez Erick Galvez Daniel I. Pérez Imara Meepe Susan Lei Berhan Mandefro Hannah Trost Louis Pinedo Maria G. Bañuelos Chunyan Liu Ruby Moran Veronica J. Garcia Michael J. Workman Ritchie Ho Stacia K. Wyman Jennifer Roggenbuck Matthew B. Harms Jennifer Stocksdale Ricardo Miramontes Keona Wang Vidya Venkatraman Ronald Holewenski Niveda Sundararaman Rakhi Pandey Danica-Mae Manalo Aneesh Donde Nhan Huynh Miriam Adam Brook T. Wassie Edward Vertudes Naufa Amirani Krishna Raja Reuben Thomas Lindsey R. Hayes Alex Lenail Aianna Cerezo Sarah Luppino Alanna Farrar Lindsay Pothier Carolyn Prina Todd E. Morgan Arish Jamil Sarah Heintzman Jennifer Jockel‐Balsarotti Elizabeth Karanja Jesse Markway Molly McCallum Ben Joslin Deniz Alibazoglu Stephen J. Kolb Senda Ajroud‐Driss Robert H. Baloh Daragh Heitzman T. W. Miller Jonathan D. Glass Natasha Leanna Patel-Murray Hong Yu Ervin Sinani Prasha Vigneswaran Alexander Sherman Omar Ahmad Promit Roy Jay Beavers Steven R. Zeiler John W. Krakauer Carla Agurto Guillermo Cecchi Mary Bellard Yogindra Raghav Karen Sachs Tobias Ehrenberger Elizabeth Bruce Merit Cudkowicz Nicholas J. Maragakis Raquel Norel Jennifer E. Van Eyk Steven Finkbeiner James Berry Dhruv Sareen Leslie M. Thompson Ernest Fraenkel Clive N. Svendsen

Answer ALS is a biological and clinical resource of patient-derived, induced pluripotent stem (iPS) cell lines, multi-omic data derived from iPS neurons longitudinal smartphone over 1,000 patients with ALS. This provides population-level that may be employed to identify clinical-molecular-biochemical subtypes amyotrophic lateral sclerosis (ALS). A unique smartphone-based system was collect deep data, including fine motor activity, speech, breathing linguistics/cognition. The spinal were...

10.1038/s41593-021-01006-0 article EN cc-by Nature Neuroscience 2022-02-01
Divya Ramamoorthy Kristen Severson Soumya Ghosh Karen Sachs Emily G. Baxi and 95 more Alyssa N. Coyne Elizabeth Mosmiller Lindsey R. Hayes Aianna Cerezo Omar Ahmad Promit Roy Steven R. Zeiler John W. Krakauer Jonathan Li Aneesh Donde Nhan Huynh Miriam Adam Brook T. Wassie Alex Lenail Natasha Leanna Patel-Murray Yogindra Raghav Karen Sachs Velina Kozareva Stanislav Tsitkov Tobias Ehrenberger Julia Kaye Leandro de Araújo Lima Stacia K. Wyman Edward Vertudes Naufa Amirani Krishna Kumar Raja Reuben Thomas Ryan G. Lim Ricardo Miramontes Jie Wu Vineet Vaibhav Andrea Matlock Vidya Venkatraman Ronald Holewenski Niveda Sundararaman Rakhi Pandey Danica-Mae Manalo Aaron P. Frank Loren Ornelas Lindsey Panther Emilda Gomez Erick Galvez Daniel I. Pérez Imara Meepe Susan Lei Louis Pinedo Chunyan Liu Ruby Moran Dhruv Sareen Barry Landin Carla Agurto Guillermo Cecchi Raquel Norel Sara Thrower Sarah Luppino Alanna Farrar Lindsay Pothier Hong Yu Ervin Sinani Prasha Vigneswaran Alexander Sherman S. Michelle Farr Berhan Mandefro Hannah Trost Maria G. Bañuelos Verónica Vázquez García Michael Workman Ritchie Ho Robert H. Baloh Jennifer Roggenbuck Matthew B. Harms Carolyn Prina Sarah Heintzman Stephen J. Kolb Jennifer Stocksdale Keona Wang Todd M. Morgan Daragh Heitzman Arish Jamil Jennifer Jockel‐Balsarotti Elizabeth Karanja Jesse Markway Molly McCallum Timothy J. Miller Ben Joslin Deniz Alibazoglu Senda Ajroud‐Driss Jay C. Beavers Mary Bellard Elizabeth J. Bruce Nicholas J. Maragakis Merit Cudkowicz James Berry Terri G. Thompson Steven Finkbeiner

Abstract The clinical presentation of amyotrophic lateral sclerosis (ALS), a fatal neurodegenerative disease, varies widely across patients, making it challenging to determine if potential therapeutics slow progression. We sought whether there were common patterns disease progression that could aid in the design and analysis trials. developed an approach based on mixture Gaussian processes identify clusters patients sharing similar patterns, modeling their average trajectories variability...

10.1038/s43588-022-00299-w article EN cc-by Nature Computational Science 2022-09-08
Jonathan Li Ryan G. Lim Julia Kaye Victoria Dardov Alyssa N. Coyne and 95 more Jie Wu Pamela Milani Andrew T. Cheng Terri G. Thompson Loren Ornelas Aaron P. Frank Miriam Adam Maria G. Bañuelos Malcolm Casale Veerle Cox Renan Escalante-Chong J. Gavin Daigle Emilda Gomez Lindsey R. Hayes Ronald Holewenski Susan Lei Alex Lenail Leandro de Araújo Lima Berhan Mandefro Andrea Matlock Lindsay Panther Natasha Leanna Patel-Murray Jacqueline T. Pham Divya Ramamoorthy Karen Sachs Brandon Shelley Jennifer Stocksdale Hannah Trost Mark Wilhelm Vidya Venkatraman Brook T. Wassie Stacia K. Wyman Stephanie Yang Jennifer E. Van Eyk Thomas E. Lloyd Steven Finkbeiner Ernest Fraenkel Jeffrey D. Rothstein Dhruv Sareen Clive N. Svendsen Leslie M. Thompson Hemali Phatnani Justin Kwan Dhruv Sareen James R. Broach Zachary Simmons Ximena Arcila-Londono Edward B. Lee Vivianna M Van Deerlin Neil A. Shneider Ernest Fraenkel Lyle W. Ostrow Frank Baas Noah Zaitlen James Berry Andrea Malaspina Pietro Fratta Gregory A. Cox Leslie M. Thompson Steven Finkbeiner Efthimios Dardiotis Timothy M. Miller Siddharthan Chandran Suvankar Pal Eran Hornstein Daniel J. MacGowan Terry Heiman‐Patterson Molly Hammell Nikolaos A. Patsopoulos Oleg Butovsky Josh Dubnau Avindra Nath Robert Bowser Matt Harms Mary Poss Jennifer E. Phillips‐Cremins John F. Crary Nazem Atassi Dale J. Lange Darius J. Adams Leonidas Stefanis Marc Gotkine Robert H. Baloh Suma Babu Towfique Raj Sabrina Paganoni Ophir Shalem Colin Smith Bin Zhang Brent T. Harris Iris Broce Vivian E. Drory John Ravits Corey T. McMillan Vilas Menon

Neurodegenerative diseases are challenging for systems biology because of the lack reliable animal models or patient samples at early disease stages. Induced pluripotent stem cells (iPSCs) could address these challenges. We investigated DNA, RNA, epigenetics, and proteins in iPSC-derived motor neurons from patients with ALS carrying hexanucleotide expansions

10.1016/j.isci.2021.103221 article EN cc-by iScience 2021-10-13

The Library of Integrated Network-based Cellular Signatures (LINCS), an NIH Common Fund program, has cataloged and analyzed cellular function molecular activity profiles in response to >80,000 perturbing agents that are potentially disruptive cells. Because the importance proteins their modifications specific perturbations, four six LINCS centers have included significant proteomics efforts characterization resulting phenotype. This manuscript aims describe this effort data harmonization...

10.1016/j.mcpro.2025.100947 article EN cc-by Molecular & Cellular Proteomics 2025-03-01
Stanislav Tsitkov Kelsey Valentine Velina Kozareva Aneesh Donde Aaron P. Frank and 95 more Susan Lei Michael J. Workman Ryan G. Lim Jie Wu Zhuoxing Wu Loren Ornelas Lindsay Panther Erick Galvez Daniel I. Pérez Imara Meepe Viviana Valencia Emilda Gomez Chunyan Liu Ruby Moran Louis Pinedo Ritchie Ho Julia Kaye Terri G. Thompson Dillon Shear Robert W. Baloh Maria G. Bañuelos Veronica J. Garcia Ronald Holewenski О Э Карпов Danica-Mae Manalo Berhan Mandefro Andrea Matlock Rakhi Pandey Niveda Sundararaman Hannah Trost Vineet Vaibhav Vidya Venkatraman Oliver Wang Jonathan D. Glass Arish Jamil Naufa Amirani Leandro de Araújo Lima Krishna Raja Wesley Robinson Reuben Thomas Edward Vertudes Stacia K. Wyman Carla Agurto Guillermo Cecchi Raquel Norel Omar Ahmad Emily G. Baxi Aianna Cerezo Alyssa N. Coyne Lindsey R. Hayes John W. Krakauer Nicholas J. Maragakis Elizabeth Mosmiller Promit Roy Steven R. Zeiler Miriam Adam Noura Albistami Tobias Ehrenberger Nhan Huynh Connie New Alex Lenail Jonathan Li Natasha Leanna Patel-Murray Yogindra Raghav Divya Ramamoorthy Egun Im Karen Sachs Brook T. Wassie James Berry Merit Cudkowicz Alanna Farrar Sara Thrower Sarah Luppino Lindsay Pothier Alexander Sherman Ervin Sinani Prasha Vigneswaran Hong Yu Jay C. Beavers Mary Bellard Elizabeth Bruce Senda Ajroud‐Driss Deniz Alibazoglu Ben Joslin Matthew B. Harms Sarah Heintzman Stephen J. Kolb Carolyn Prina Daragh Heitzman Todd E. Morgan Ricardo Miramontes Jennifer Stocksdale Keona Wang Jennifer Jockel‐Balsarotti Elizabeth Karanja

Amyotrophic Lateral Sclerosis (ALS), like many other neurodegenerative diseases, is highly heritable, but with only a small fraction of cases explained by monogenic disease alleles. To better understand sporadic ALS, we report epigenomic profiles, as measured ATAC-seq, motor neuron cultures derived from diverse group 380 ALS patients and 80 healthy controls. We find that chromatin accessibility heavily influenced sex, the iPSC cell type origin, ancestry, inherent variance arising sequencing....

10.1038/s41467-024-47758-8 article EN cc-by Nature Communications 2024-05-02

Abstract Rapid progress in proteomics and large-scale profiling of biological systems at the protein level necessitates continued development efficient computational tools for analysis interpretation data. Here, we present piNET server that facilitates integrated annotation, visualization quantitative data, with emphasis on PTM networks integration LINCS library chemical genetic perturbation signatures order to provide further mechanistic functional insights. The primary input consists a set...

10.1093/nar/gkaa436 article EN cc-by-nc Nucleic Acids Research 2020-05-27

The National Institute of Health (NIH) Library integrated network-based cellular signatures (LINCS) program is premised on the generation a publicly available data resource cell-based biochemical responses or "signatures" to genetic environmental perturbations. NeuroLINCS uses human inducible pluripotent stem cells (hiPSCs), derived from patients and healthy controls, differentiated into motor neuron cell cultures. This multi-laboratory effort strives establish i) robust multi-omic workflows...

10.1038/s41597-022-01687-7 article EN cc-by Scientific Data 2023-01-11

Abstract Huntington’s disease (HD) is a neurodegenerative disorder caused by an expanded CAG repeat mutation in the Huntingtin (HTT) gene. The impacts neuronal protein homeostasis and cortical/striatal circuitry. SUMOylation post-translational modification with broad cellular effects including via of synaptic proteins. Here, we used optimised SUMO protein-enrichment mass spectrometry method to identify SUMOylation/SUMO interaction proteome context HD using R6/2 transgenic non-transgenic (NT)...

10.1093/brain/awae319 article EN cc-by Brain 2024-10-10

Abstract Answer ALS is a comprehensive multi-omics approach to ascertain, at population level, the various clinical-molecular- biochemical subtypes of sporadic ALS. This national program enrolled 1046 and ALS/FTD patients along with cohort 100 matched control followed longitudinally over least one year. A smartphone-based app was employed collect deep clinical data including fine motor activity, speech, breathing linguistics/cognition. Analytics speech patterns revealed strong correlation...

10.21203/rs.3.rs-96858/v1 preprint EN cc-by Research Square (Research Square) 2020-10-28

ABSTRACT Large proteomics data, including those generated by mass spectrometry, are being to characterize biological systems at the protein level. Computational methods and tools identify quantify peptides, proteins post-translational modifications (PTMs) that captured in modern spectrometers have matured over years. On other hand, for downstream analysis, interpretation visualization of data sets, particular involving PTMs, require further improvement integration accelerate scientific...

10.1101/607432 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2019-04-12

Summary Neurodegenerative diseases present a challenge for systems biology, due to the lack of reliable animal models and difficulties in obtaining samples from patients at early stages disease, when interventions might be most effective. Studying induced pluripotent stem cell (iPSC)-derived neurons could overcome these challenges dramatically accelerate broaden therapeutic strategies. Here we undertook network-based multi-omic characterization iPSC-derived motor ALS carrying genetically...

10.1101/2020.11.01.362269 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2020-11-01
Coming Soon ...