Andrea Califano
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View article: Supplementary Figure S5 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer
Supplementary Figure S5 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer Open
Supplementary Figure S5 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer
View article: Supplementary Table S1 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer
Supplementary Table S1 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer Open
Supplementary Table S1 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer
View article: NSD2 targeting reverses plasticity and drug resistance in prostate cancer
NSD2 targeting reverses plasticity and drug resistance in prostate cancer Open
Lineage plasticity is a cancer hallmark that drives disease progression and treatment resistance1,2. Plasticity is often mediated by epigenetic mechanisms that may be reversible; however, there are few examples of such reversibi…
View article: Supplementary Figure S2 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer
Supplementary Figure S2 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer Open
Supplementary Figure S2 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer
View article: Supplementary Figure S3 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer
Supplementary Figure S3 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer Open
Supplementary Figure S3 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer
View article: Supplementary Figure S6 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer
Supplementary Figure S6 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer Open
Supplementary Figure S6 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer
View article: Supplementary Figure S7 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer
Supplementary Figure S7 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer Open
Supplementary Figure S7 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer
View article: Supplementary Table S2 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer
Supplementary Table S2 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer Open
Supplementary Table S2 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer
View article: Supplementary Figure S8 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer
Supplementary Figure S8 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer Open
Supplementary Figure S8 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer
View article: Supplementary Table S1 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer
Supplementary Table S1 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer Open
Supplementary Table S1 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer
View article: Supplementary Figure S4 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer
Supplementary Figure S4 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer Open
Supplementary Figure S4 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer
View article: Supplementary Figure S7 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer
Supplementary Figure S7 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer Open
Supplementary Figure S7 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer
View article: Supplementary Figure S5 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer
Supplementary Figure S5 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer Open
Supplementary Figure S5 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer
View article: Supplementary Figure S8 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer
Supplementary Figure S8 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer Open
Supplementary Figure S8 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer
View article: Supplementary Figure S3 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer
Supplementary Figure S3 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer Open
Supplementary Figure S3 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer
View article: Supplementary Figure S6 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer
Supplementary Figure S6 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer Open
Supplementary Figure S6 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer
View article: Supplementary Table S2 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer
Supplementary Table S2 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer Open
Supplementary Table S2 from Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer
View article: Systematic elucidation and pharmacologic targeting on non-oncogene dependencies in imatinib-resistant gastrointestinal stromal tumor
Systematic elucidation and pharmacologic targeting on non-oncogene dependencies in imatinib-resistant gastrointestinal stromal tumor Open
Treatment of gastrointestinal stromal tumor (GIST) with imatinib and other KIT-targeting drugs, has been effective. However, most patients with advanced GIST eventually develop imatinib-resistance and succumb to disease. We have developed …
View article: Complex Assembly and Activity States as Multifaceted Protein Attributes Explaining Phenotypic Variability
Complex Assembly and Activity States as Multifaceted Protein Attributes Explaining Phenotypic Variability Open
Cell function studies primarily focus on measuring overall molecular abundances while often overlooking critical clues—including protein modifications and molecular interaction networks—that critically determine the functional properties o…
View article: Epigenetic targeting of PGBD5-dependent DNA damage in SMARCB1-deficient sarcomas
Epigenetic targeting of PGBD5-dependent DNA damage in SMARCB1-deficient sarcomas Open
Despite the potential of targeted epigenetic therapies, most cancers do not respond to current epigenetic drugs. The polycomb repressive complex EZH2 inhibitor tazemetostat was recently approved for the treatment of SMARCB1-deficient epith…
View article: Protocol for automated graph-based clustering of single-cell RNA-seq data with application in mouse intestinal stem cells
Protocol for automated graph-based clustering of single-cell RNA-seq data with application in mouse intestinal stem cells Open
We present a protocol for isolating highly purified crypt epithelial cells from the mouse intestine for single-cell RNA sequencing (scRNA-seq). Optimized for the mouse jejunum, it can be adapted to all intestinal tracts, including the colo…
View article: GREmLN: A Cellular Graph Structure Aware Transcriptomics Foundation Model
GREmLN: A Cellular Graph Structure Aware Transcriptomics Foundation Model Open
A bstract The ever-increasing availability of large-scale single-cell profiles presents an opportunity to develop foundation models to capture cell properties and behavior. However, standard language models such as transformers benefits fr…
View article: Reverse engineering neuron-type-specific and type-orthogonal splicing-regulatory networks using diverse cellular transcriptomes
Reverse engineering neuron-type-specific and type-orthogonal splicing-regulatory networks using diverse cellular transcriptomes Open
Cell-type-specific alternative splicing (AS) enables differential gene isoform expression between diverse neuron types with distinct identities and functions. Current studies linking individual RNA-binding proteins (RBPs) to AS in a limite…
View article: Systematic identification and targeting of master regulator checkpoints (MRC) governing tumor microenvironment-mediated immune evasion
Systematic identification and targeting of master regulator checkpoints (MRC) governing tumor microenvironment-mediated immune evasion Open
Abrogating the immunoevasive role of the tumor immune microenvironment (TIME) represents a critical yet still elusive challenge in cancer treatment. Progress in this area has been hampered by both technological limitations and incomplete u…
View article: Regulatory network analysis of Dclk1 gene expression reveals a tuft cell-ILC2 axis that inhibits pancreatic tumor progression
Regulatory network analysis of Dclk1 gene expression reveals a tuft cell-ILC2 axis that inhibits pancreatic tumor progression Open
Doublecortin-like kinase 1 (Dclk1) expression identifies cells that are rare in normal pancreas but occur with an increased frequency in pancreatic neoplasia. The identity of these cells has been a matter of debate. We employed Dclk1 repor…
View article: Identification and targeting of regulators of SARS-CoV-2–host interactions in the airway epithelium
Identification and targeting of regulators of SARS-CoV-2–host interactions in the airway epithelium Open
The impact of SARS-CoV-2 in the lung has been extensively studied, yet the molecular regulators of host-cell programs hijacked by the virus in distinct human airway epithelial cell populations remain poorly understood. Some of the reasons …
View article: Chromosomal instability shapes the tumor microenvironment of esophageal adenocarcinoma via a cGAS–chemokine–myeloid axis
Chromosomal instability shapes the tumor microenvironment of esophageal adenocarcinoma via a cGAS–chemokine–myeloid axis Open
Chromosomal instability (CIN), a characteristic feature of esophageal adenocarcinoma (EAC), drives tumor aggressiveness and therapy resistance, presenting an intractable problem in cancer treatment. CIN leads to constitutive stimulation of…
View article: Single Nuclei-Derived Molecular Subtypes of Gastrointestinal Stromal Tumors Correlate with Clinicopathologic Features and Predict Clinical Outcomes
Single Nuclei-Derived Molecular Subtypes of Gastrointestinal Stromal Tumors Correlate with Clinicopathologic Features and Predict Clinical Outcomes Open
Historically, gastrointestinal stromal tumor (GIST) has been subtyped by oncogenic driver mutations. However, tumors with the same mutational profile can have variable biology. To further explore the impact of molecular diversity on GIST b…
View article: The regulatory architecture of the primed pluripotent cell state
The regulatory architecture of the primed pluripotent cell state Open
View article: integração desintegradora do Mercosul e a globalização
integração desintegradora do Mercosul e a globalização Open
Em que medida a integração regional latino-americana é determinada e limitada pelo padrão de acumulação dominante na globalização? A partir de uma crítica à insuficiência de análises que enfatizam evoluções institucionais ou alternâncias p…