Sara J. C. Gosline

发表

Network-Based Interpretation of Diverse High-Throughput Datasets through the Omics Integrator Software Package

Ernest Fraenkel, Nurcan Tuncbag, Anthony Gitter, 2016, PLoS Comput. Biol..

Elucidating MicroRNA Regulatory Networks Using Transcriptional, Post-transcriptional, and Histone Modification Measurements.

P. Sharp, E. Fraenkel, A. Gurtan, 2015, Cell reports.

Pan-cancer proteogenomics connects oncogenic drivers to functional states

Matthew A. Wyczalkowski, Ratna R. Thangudu, Jared L. Johnson, 2023, Cell.

Systems Approaches to Cancer Biology.

Stephen R. Piccolo, Aaron S. Meyer, E. Fertig, 2016, Cancer research.

A rapid platform for 3D patient-derived cutaneous neurofibroma organoid establishment and screening

S. Dry, P. Boutros, S. Gosline, 2022, bioRxiv.

CDK4/6 inhibition enhances SHP2 inhibitor efficacy and is dependent upon restoration of RB function in malignant peripheral nerve sheath tumors

James C. Pino, D. K. Wood, D. Largaespada, 2023, bioRxiv.

Pan-cancer analysis of post-translational modifications reveals shared patterns of protein regulation

Matthew A. Wyczalkowski, Ratna R. Thangudu, Jared L. Johnson, 2023, Cell.

Posttranscriptional regulation of PER1 underlies the oncogenic function of IREα.

J. Sarkaria, M. Hallett, F. Saltel, 2013, Cancer research.

Quantitative Proteomics Analysis of the Secretory Pathway

Robert E. Kearney, Tommy Nilsson, Alexander W. Bell, 2006, Cell.

The evolution and multi-molecular properties of NF1 cutaneous neurofibromas originating from C-fiber sensory endings and terminal Schwann cells at normal sites of sensory terminations in the skin

J. Guinney, F. Rice, V. Riccardi, 2019, PloS one.

Network modeling of kinase inhibitor polypharmacology reveals pathways targeted in chemical screens

E. Fraenkel, Yan Zhou, S. Huang, 2017, PloS one.

Linking Proteomic and Transcriptional Data through the Interactome and Epigenome Reveals a Map of Oncogene-induced Signaling

Ernest Fraenkel, Douglas A. Lauffenburger, William Gordon, 2013, PLoS Comput. Biol..

Knowledge-based classification of fine-grained immune cell types in single-cell RNA-Seq data

Jeffrey T. Chang, Lance T. Pflieger, A. Bild, 2021, Briefings Bioinform..

Knowledge-based classification of fine-grained immune cell types in single-cell RNA-Seq data with ImmClassifier

Jeffrey T. Chang, Lance T. Pflieger, A. Bild, 2020, bioRxiv.

The Superfund Research Program Analytics Portal: linking environmental chemical exposure to biological phenotypes

Doo Nam Kim, K. Waters, S. Gosline, 2023, Scientific Data.

Pharmacological and genomic profiling of neurofibromatosis type 1 plexiform neurofibroma-derived schwann cells

M. Ferrer, J. Guinney, R. Guha, 2018, Scientific Data.

A clinically and genomically annotated nerve sheath tumor biospecimen repository

Robert J. Allaway, J. Guinney, C. Pratilas, 2019, Scientific Data.

Engaging a community to enable disease-centric data sharing with the NF Data Portal

Robert J. Allaway, Salvatore La Rosa, Sharad Verma, 2019, Scientific Data.

The AML microenvironment catalyzes a stepwise evolution to gilteritinib resistance.

E. Demir, D. Bottomly, S. McWeeney, 2021, Cancer cell.

The AML Microenvironment Catalyzes a Step-Wise Evolution to Gilteritinib Resistance

E. Demir, D. Bottomly, S. McWeeney, 2021 .

Intracellular Eukaryotic Parasites Have a Distinct Unfolded Protein Response

David Y. Thomas, M. Hallett, G. Matlashewski, 2011, PloS one.

Probing the chemical–biological relationship space with the Drug Target Explorer

Justin Guinney, Salvatore La Rosa, Sara J. C. Gosline, 2018, bioRxiv.

Pathway-based network modeling finds hidden genes in shRNA screen for regulators of acute lymphoblastic leukemia† †Electronic supplementary information (ESI) available. See DOI: 10.1039/c6ib00040a Click here for additional data file. Click here for additional data file.

D. Lauffenburger, E. Fraenkel, M. Hemann, 2016, Integrative biology : quantitative biosciences from nano to macro.

Pan-cancer proteogenomics characterization of tumor immunity

Jeffrey R. Whiteaker, Matthew A. Wyczalkowski, Ratna R. Thangudu, 2024, Cell.

Integrated molecular and clinical analysis of low-grade gliomas in children with neurofibromatosis type 1 (NF1)

David T. W. Jones, N. Jäger, S. Pfister, 2021, Acta Neuropathologica.

Integrative multi-omic cancer profiling reveals DNA methylation patterns associated with therapeutic vulnerability and cell-of-origin.

Ratna R. Thangudu, Kelly V. Ruggles, Jasmin H. Bavarva, 2023, Cancer cell.

Pharmacological and genomic profiling of neurofibromatosis type 1 plexiform neurofibroma-derived schwann cells

M. Ferrer, J. Guinney, R. Guha, 2018, Scientific Data.

Cutaneous neurofibromas in the genomics era: current understanding and open questions

Robert J. Allaway, J. Guinney, Salvatore La Rosa, 2018, British Journal of Cancer.

A high-throughput molecular data resource for cutaneous neurofibromas

S. Levy, H. Weinberg, J. Guinney, 2017, Scientific Data.

Mapping the proteogenomic landscape enables prediction of drug response in acute myeloid leukemia

B. Druker, P. Piehowski, K. Rodland, 2024, Cell reports. Medicine.

Proteome Mapping of the Human Pancreatic Islet Microenvironment Reveals Endocrine–Exocrine Signaling Sphere of Influence

James C. Pino, Kristin E. Burnum-Johnson, P. Piehowski, 2022, bioRxiv.

SAMNetWeb: identifying condition-specific networks linking signaling and transcription

E. Fraenkel, Coyin Oh, Sara J. C. Gosline, 2015, Bioinform..

Integrative Analysis Identifies Candidate Tumor Microenvironment and Intracellular Signaling Pathways that Define Tumor Heterogeneity in NF1

Jaclyn N. Taroni, Robert J. Allaway, J. Guinney, 2020, bioRxiv.