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2. Results and lessons learned from the sbv IMPROVER metagenomics diagnostics for inflammatory bowel disease challenge

Author

Khachatryan, Lusine, Xiang, Yang, Ivanov, Artem, Glaab, Enrico, Graham, Garrett, Granata, Ilaria, Giordano, Maurizio, Maddalena, Lucia, Piccirillo, Marina, Manipur, Ichcha, Baruzzo, Giacomo, Cappellato, Marco, Avot, Batiste, Stan, Adrian, Battey, James, Lo Sasso, Giuseppe, Boue, Stephanie, Ivanov, Nikolai V., Peitsch, Manuel C., Hoeng, Julia, Falquet, Laurent, Di Camillo, Barbara, Guarracino, Mario R., Ulyantsev, Vladimir, Sierro, Nicolas, and Poussin, Carine

Published
2023
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3. The Sustained Induction of c-MYC Drives Nab-Paclitaxel Resistance in Primary Pancreatic Ductal Carcinoma Cells

Author

Parasido, Erika, Avetian, George S, Naeem, Aisha, Graham, Garrett, Pishvaian, Michael, Glasgow, Eric, Mudambi, Shaila, Lee, Yichien, Ihemelandu, Chukwuemeka, Choudhry, Muhammad, Peran, Ivana, Banerjee, Partha P, Avantaggiati, Maria Laura, Bryant, Kirsten, Baldelli, Elisa, Pierobon, Mariaelena, Liotta, Lance, Petricoin, Emanuel, Fricke, Stanley T, Sebastian, Aimy, Cozzitorto, Joseph, Loots, Gabriela G, Kumar, Deepak, Byers, Stephen, Londin, Eric, DiFeo, Analisa, Narla, Goutham, Winter, Jordan, Brody, Jonathan R, Rodriguez, Olga, and Albanese, Chris

Subjects
Cancer, Pancreatic Cancer, Digestive Diseases, Orphan Drug, Rare Diseases, Development of treatments and therapeutic interventions, 5.1 Pharmaceuticals, Aged, Aged, 80 and over, Albumins, Animals, Carcinoma, Pancreatic Ductal, Drug Resistance, Neoplasm, Female, Gene Expression Regulation, Neoplastic, Humans, Male, Mice, Neoplasm Transplantation, Paclitaxel, Pancreatic Neoplasms, Primary Cell Culture, Proto-Oncogene Proteins c-myc, Tumor Cells, Cultured, Up-Regulation, Zebrafish, Oncology and Carcinogenesis, Developmental Biology, Oncology & Carcinogenesis
Abstract

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive disease with limited and, very often, ineffective medical and surgical therapeutic options. The treatment of patients with advanced unresectable PDAC is restricted to systemic chemotherapy, a therapeutic intervention to which most eventually develop resistance. Recently, nab-paclitaxel (n-PTX) has been added to the arsenal of first-line therapies, and the combination of gemcitabine and n-PTX has modestly prolonged median overall survival. However, patients almost invariably succumb to the disease, and little is known about the mechanisms underlying n-PTX resistance. Using the conditionally reprogrammed (CR) cell approach, we established and verified continuously growing cell cultures from treatment-naïve patients with PDAC. To study the mechanisms of primary drug resistance, nab-paclitaxel-resistant (n-PTX-R) cells were generated from primary cultures and drug resistance was verified in vivo, both in zebrafish and in athymic nude mouse xenograft models. Molecular analyses identified the sustained induction of c-MYC in the n-PTX-R cells. Depletion of c-MYC restored n-PTX sensitivity, as did treatment with either the MEK inhibitor, trametinib, or a small-molecule activator of protein phosphatase 2a. IMPLICATIONS: The strategies we have devised, including the patient-derived primary cells and the unique, drug-resistant isogenic cells, are rapid and easily applied in vitro and in vivo platforms to better understand the mechanisms of drug resistance and for defining effective therapeutic options on a patient by patient basis.

Published
2019

8. Record High Sea Surface Temperatures in 2023.

Author

Huang, Boyin, Yin, Xungang, Carton, James A., Chen, Ligang, Graham, Garrett, Hogan, Patrick, Smith, Thomas, and Zhang, Huai‐Min

Subjects
MARINE heatwaves, EL Nino, OCEAN temperature, LA Nina
Abstract

NOAA Daily Optimum Interpolation Sea Surface Temperature (DOISST) and other similar sea surface temperature (SST) products indicate that the globally averaged SST set a new daily record in March 2023. The record‐high SST in March was immediately broken in April, and new daily records were set again in July and August 2023. The SST anomaly (SSTA) persisted at a record high from mid‐March to the remainder of 2023. Our analysis indicates that the record‐high SSTs, and associated marine heatwaves (MHWs) and even super‐MHWs, are attributed to three factors: (a) a long‐term warming trend, (b) a shift to the warm phase of the multi‐decadal Pacific‐Atlantic‐Arctic (PAA) mode, and (c) the transition from the triple‐dip succession of La Niña events to the 2023–24 El Niño event. Plain Language Summary: Observation‐based analyses such as the NOAA DOISST show that global mean SST reached a record high in April 2023, breaking the previous record of global mean SST set in March 2016, and the April 2023 record of global mean SST was broken again in July and August 2023. Our study indicates that these record‐breaking SSTs in 2023 resulted from record‐high SSTs over much of the global oceans and associated with widespread marine heatwaves (MHWs). Further analyses show that the record‐high SSTs are attributed to a long‐term‐warming trend associated with increasing greenhouse gases, a shift to the warm phase of a multidecadal Pacific‐Atlantic‐Arctic (PAA) mode, and a warming associated with the transition from 2020–23 La Niña events to the 2023–24 El Niño event. Key Points: Global mean sea surface temperature (SST) in 2023 set a record highRecord‐high SST was associated with widespread marine heatwaves (MHWs) and super‐MHWs throughout the oceansRecord‐high SST was attributed to the multi‐decadal warming trend, warm phase of Pacific‐Atlantic‐Arctic mode, and 2023–24 El Niño event [ABSTRACT FROM AUTHOR]

Published
2024
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9. Rac1-Mediated DNA Damage and Inflammation Promote Nf2 Tumorigenesis but Also Limit Cell-Cycle Progression

Author

Shi, Yuhao, Bollam, Saumya R, White, Shannon M, Laughlin, Sean Z, Graham, Garrett T, Wadhwa, Mandheer, Chen, Hengye, Nguyen, Chan, Vitte, Jeremie, Giovannini, Marco, Toretsky, Jeffery, and Yi, Chunling

Subjects
Biochemistry and Cell Biology, Biological Sciences, Rare Diseases, Neurofibromatosis, Neurosciences, Genetics, Cancer, 2.1 Biological and endogenous factors, Aetiology, Animals, Biomarkers, Carcinogenesis, Cell Cycle, Cell Dedifferentiation, Cell Proliferation, Cellular Senescence, DNA Damage, Epithelial Cells, Extracellular Signal-Regulated MAP Kinases, Gene Deletion, Hepatocytes, Hepatomegaly, Humans, Inflammation, Liver, Meningioma, Mice, Mice, Knockout, NF-kappa B, Neurilemmoma, Neurofibromin 2, Organ Size, Phenotype, Proto-Oncogene Proteins c-akt, Reactive Oxygen Species, Signal Transduction, Tumor Suppressor Protein p53, rac1 GTP-Binding Protein, DNA damage response, NF2, ROS, Rac1, Yap, inflammation, senescence, Medical and Health Sciences, Developmental Biology, Biochemistry and cell biology
Abstract

Merlin encoded by the Nf2 gene is a bona fide tumor suppressor that has been implicated in regulation of both the Hippo-Yap and Rac1-Pak1 pathways. Using genetically engineered murine liver models, we show that co-deletion of Rac1 with Nf2 blocks tumor initiation but paradoxically exacerbates hepatomegaly induced by Nf2 loss, which can be suppressed either by treatment with pro-oxidants or by co-deletion of Yap. Our results suggest that while Yap acts as the central driver of proliferation during Nf2 tumorigenesis, Rac1 primarily functions as an inflammation switch by inducing reactive oxygen species that, on one hand, induce nuclear factor κB signaling and expression of inflammatory cytokines, and on the other activate p53 checkpoint and senescence programs dampening the cyclin D1-pRb-E2F1 pathway. Interestingly, senescence markers are associated with benign NF2 tumors but not with malignant NF2 mutant mesotheliomas, suggesting that senescence may underlie the benign nature of most NF2 tumors.

Published
2016

12. Centralizers in R. Thompson's group V_n

Author

Bleak, Collin, Bowman, Hannah, Gordon, Alison, Graham, Garrett, Hughes, Jacob, Matucci, Francesco, and Sapir, Jenya

Subjects
Mathematics - Group Theory, Mathematics - Dynamical Systems, 20F65, 20E07, 37C85
Abstract

Let n be bigger than 1 and let A be an element in the Higman-Thompson group V_n. We study the structure of the centralizer of a in V_n through a careful analysis of the action of the group generated by A on the Cantor set C. We make use of revealing tree pairs as developed by Brin and Salazar from which we derive discrete train tracks to assist us in our analysis. A consequence of our structure theorem is that centralizers are finitely generated. Along the way we give a short argument using revealing tree pairs which shows that cyclic groups are undistorted in V_n., Comment: 32 pages, 18 figures. Added a reference in the introduction

Published
2011

13. CD133 Stimulates Cell Proliferation via the Upregulation of Amphiregulin in Melanoma.

Author

Simbulan-Rosenthal, Cynthia M, Islam, Nusrat, Haribabu, Yogameenakshi, Alobaidi, Ryyan, Shalamzari, Azadeh, Graham, Garrett, Kuo, Li-Wei, Sykora, Peter, and Rosenthal, Dean S

Subjects
CELL proliferation, AMPHIREGULIN, MELANOMA, BRAF genes, CANCER stem cells, CELL growth
Abstract

CD133, a cancer stem cell (CSC) marker in tumors, including melanoma, is associated with tumor recurrence, chemoresistance, and metastasis. Patient-derived melanoma cell lines were transduced with a Tet-on vector expressing CD133, generating doxycycline (Dox)-inducible cell lines. Cells were exposed to Dox for 24 h to induce CD133 expression, followed by RNA-seq and bioinformatic analyses, revealing genes and pathways that are significantly up- or downregulated by CD133. The most significantly upregulated gene after CD133 was amphiregulin (AREG), validated by qRT-PCR and immunoblot analyses. Induced CD133 expression significantly increased cell growth, percentage of cells in S-phase, BrdU incorporation into nascent DNA, and PCNA levels, indicating that CD133 stimulates cell proliferation. CD133 induction also activated EGFR and the MAPK pathway. Potential mechanisms highlighting the role(s) of CD133 and AREG in melanoma CSC were further delineated using AREG/EGFR inhibitors or siRNA knockdown of AREG mRNA. Treatment with the EGFR inhibitor gefitinib blocked CD133-induced cell growth increase and MAPK pathway activation. Importantly, siRNA knockdown of AREG reversed the stimulatory effects of CD133 on cell growth, indicating that AREG mediates the effects of CD133 on cell proliferation, thus serving as an attractive target for novel combinatorial therapeutics in melanoma and cancers with overexpression of both CD133 and AREG. [ABSTRACT FROM AUTHOR]

Published
2024
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14. The 1991–2020 sea surface temperature normals

Author

Yin, Xungang, primary, Huang, Boyin, additional, Carton, James A., additional, Chen, Ligang, additional, Graham, Garrett, additional, Liu, Chunying, additional, Smith, Thomas, additional, and Zhang, Huai‐Min, additional

Published
2023
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15. Extremely High Sea Surface Temperatures in 2023

Author

Huang, Boyin, primary, Yin, Xungang, additional, Carton, James, additional, Chen, Ligang, additional, Graham, Garrett, additional, Hogan, Patrick, additional, Smith, Thomas, additional, and Zhang, Huai-Min, additional

Published
2023
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16. Rearrangement bursts generate canonical gene fusions in bone and soft tissue tumors

Author

Anderson, Nathaniel D., de Borja, Richard, Young, Matthew D., Fuligni, Fabio, Rosic, Andrej, Roberts, Nicola D., Hajjar, Simon, Layeghifard, Mehdi, Novokmet, Ana, Kowalski, Paul E., Anaka, Matthew, Davidson, Scott, Zarrei, Mehdi, Said, Badr Id, Schreiner, L. Christine, Marchand, Remi, Sitter, Joseph, Gokgoz, Nalan, Brunga, Ledia, Graham, Garrett T., Fullam, Anthony, Pillay, Nischalan, Toretsky, Jeffrey A., Yoshida, Akihiko, Shibata, Tatsuhiro, Metzler, Markus, Somers, Gino R., Scherer, Stephen W., Flanagan, Adrienne M., Campbell, Peter J., Schiffman, Joshua D., Shago, Mary, Alexandrov, Ludmil B., Wunder, Jay S., Andrulis, Irene L., Malkin, David, Behjati, Sam, and Shlien, Adam

Published
2018

23. The 1991–2020 sea surface temperature normals.

Author

Yin, Xungang, Huang, Boyin, Carton, James A., Chen, Ligang, Graham, Garrett, Liu, Chunying, Smith, Thomas, and Zhang, Huai‐Min

Subjects
OCEAN temperature, SCIENTIFIC community, GULF Stream, STANDARD deviations, KUROSHIO, GLOBAL cooling
Abstract

The 1991–2020 climate normals for sea surface temperature (SST) are computed based on the NOAA Daily Optimum Interpolation SST dataset. This is the first time that high‐resolution SST normals with global coverage can be achieved in the satellite SST era. Normals are one of the fundamental parameters in describing and understanding weather and climate and provide decision‐making information to industry, public, and scientific communities. This product suite includes SST mean, standard deviation, count and extreme parameters at daily, monthly, seasonal and annual time scales on 0.25° spatial grids. The main feature of the SST mean state revealed by the normals is that in the Tropics, the Indo‐Pacific Ocean is dominated by the warm pool (SST ≥ 28°C) while the eastern Pacific is characterized by the cold tongue (SST ≤ 24°C); in the midlatitudes, SSTs are in zonal patterns with high meridional gradients. Daily SST standard deviations are generally small (<1.0°C) except in frontal zones (>1.5°C) mostly associated with ocean currents such as the Gulf Stream, Kuroshio and Equatorial Currents. Compared to the 1982–2011 climatology, the 1991–2020 mean SSTs increased over most global areas but obvious cooling is seen in the Southern Ocean, eastern tropical South Pacific Ocean and North Atlantic warming hole. The Indo‐Pacific warm pool (IPWP) is found to have strengthened in both intensity and coverage since 1982–2011. By a count parameter criterion of ≥300 days annually with SST ≥ 28°C, the IPWP coverage increased 33% from 1982–2011 to 1991–2020. The global mean SST of 1991–2020 is warmer than that of 1982–2011, and the warming rate over 1991–2020 doubles that over 1901–2020. [ABSTRACT FROM AUTHOR]

Published
2024
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24. The mitochondrial citrate carrier, SLC25A1, drives stemness and therapy resistance in non-small cell lung cancer

Author

Fernandez, Harvey R., Gadre, Shreyas M., Tan, Mingjun, Graham, Garrett T., Mosaoa, Rami, Ongkeko, Martin S., Kim, Kyu Ah, Riggins, Rebecca B., Parasido, Erika, Petrini, Iacopo, Pacini, Simone, Cheema, Amrita, Varghese, Rency, Ressom, Habtom W, Zhang, Yuwen, Albanese, Christopher, Üren, Aykut, Paige, Mikell, Giaccone, Giuseppe, and Avantaggiati, Maria Laura

Published
2018
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26. Data from The Sustained Induction of c-MYC Drives Nab-Paclitaxel Resistance in Primary Pancreatic Ductal Carcinoma Cells

Author

Parasido, Erika, primary, Avetian, George S., primary, Naeem, Aisha, primary, Graham, Garrett, primary, Pishvaian, Michael, primary, Glasgow, Eric, primary, Mudambi, Shaila, primary, Lee, Yichien, primary, Ihemelandu, Chukwuemeka, primary, Choudhry, Muhammad, primary, Peran, Ivana, primary, Banerjee, Partha P., primary, Avantaggiati, Maria Laura, primary, Bryant, Kirsten, primary, Baldelli, Elisa, primary, Pierobon, Mariaelena, primary, Liotta, Lance, primary, Petricoin, Emanuel, primary, Fricke, Stanley T., primary, Sebastian, Aimy, primary, Cozzitorto, Joseph, primary, Loots, Gabriela G., primary, Kumar, Deepak, primary, Byers, Stephen, primary, Londin, Eric, primary, DiFeo, Analisa, primary, Narla, Goutham, primary, Winter, Jordan, primary, Brody, Jonathan R., primary, Rodriguez, Olga, primary, and Albanese, Chris, primary

Published
2023
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30. Data from Prevention of Lipid Peroxidation–derived Cyclic DNA Adduct and Mutation in High-Fat Diet–induced Hepatocarcinogenesis by Theaphenon E

Author

Coia, Heidi, primary, Ma, Ning, primary, Hou, Yanqi, primary, Dyba, Marcin D., primary, Fu, Ying, primary, Cruz, M. Idalia, primary, Benitez, Carlos, primary, Graham, Garrett T., primary, McCutcheon, Justine N., primary, Zheng, Yun-Ling, primary, Sun, Bing, primary, Kallakury, Bhaskar V., primary, Ma, Junfeng, primary, Fang, Hong-Bin, primary, Berry, Deborah L., primary, Muralidaran, Vinona, primary, and Chung, Fung-Lung, primary

Published
2023
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33. Supplementary Data figures and tables from The Sustained Induction of c-MYC Drives Nab-Paclitaxel Resistance in Primary Pancreatic Ductal Carcinoma Cells

Author

Parasido, Erika, primary, Avetian, George S., primary, Naeem, Aisha, primary, Graham, Garrett, primary, Pishvaian, Michael, primary, Glasgow, Eric, primary, Mudambi, Shaila, primary, Lee, Yichien, primary, Ihemelandu, Chukwuemeka, primary, Choudhry, Muhammad, primary, Peran, Ivana, primary, Banerjee, Partha P., primary, Avantaggiati, Maria Laura, primary, Bryant, Kirsten, primary, Baldelli, Elisa, primary, Pierobon, Mariaelena, primary, Liotta, Lance, primary, Petricoin, Emanuel, primary, Fricke, Stanley T., primary, Sebastian, Aimy, primary, Cozzitorto, Joseph, primary, Loots, Gabriela G., primary, Kumar, Deepak, primary, Byers, Stephen, primary, Londin, Eric, primary, DiFeo, Analisa, primary, Narla, Goutham, primary, Winter, Jordan, primary, Brody, Jonathan R., primary, Rodriguez, Olga, primary, and Albanese, Chris, primary

Published
2023
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38. Supplementary Data from Prevention of Lipid Peroxidation–derived Cyclic DNA Adduct and Mutation in High-Fat Diet–induced Hepatocarcinogenesis by Theaphenon E

Author

Coia, Heidi, primary, Ma, Ning, primary, Hou, Yanqi, primary, Dyba, Marcin D., primary, Fu, Ying, primary, Cruz, M. Idalia, primary, Benitez, Carlos, primary, Graham, Garrett T., primary, McCutcheon, Justine N., primary, Zheng, Yun-Ling, primary, Sun, Bing, primary, Kallakury, Bhaskar V., primary, Ma, Junfeng, primary, Fang, Hong-Bin, primary, Berry, Deborah L., primary, Muralidaran, Vinona, primary, and Chung, Fung-Lung, primary

Published
2023
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43. Results and Lessons Learned from the sbv IMPROVER Metagenomics Diagnostics for Inflammatory Bowel Disease Challenge

Author

Luxembourg Centre for Systems Biomedicine (LCSB): Biomedical Data Science (Glaab Group) [research center], Khachatryan, Lusine, Xiang, Yang, Ivanov, Artem, Glaab, Enrico, Graham, Garrett, Granata, Ilaria, Giordano, Maurizio, Maddalena, Lucia, Piccirillo, Marina, Manipur, Ichcha, Baruzzo, Giacomo, Cappellato, Marco, Avot, Batiste, Stan, Adrian, Battey, James, Lo Sasso, Giuseppe, Boue, Stephanie, Ivanov, Nikolai V., Peitsch, Manuel C., Hoeng, Julia, Falquet, Laurent, Di Camillo, Barbara, Guarracino, Mario, Ulyantsev, Vladimir, Sierro, Nicolas, Poussin, Carine, Luxembourg Centre for Systems Biomedicine (LCSB): Biomedical Data Science (Glaab Group) [research center], Khachatryan, Lusine, Xiang, Yang, Ivanov, Artem, Glaab, Enrico, Graham, Garrett, Granata, Ilaria, Giordano, Maurizio, Maddalena, Lucia, Piccirillo, Marina, Manipur, Ichcha, Baruzzo, Giacomo, Cappellato, Marco, Avot, Batiste, Stan, Adrian, Battey, James, Lo Sasso, Giuseppe, Boue, Stephanie, Ivanov, Nikolai V., Peitsch, Manuel C., Hoeng, Julia, Falquet, Laurent, Di Camillo, Barbara, Guarracino, Mario, Ulyantsev, Vladimir, Sierro, Nicolas, and Poussin, Carine

Abstract

A growing body of evidence links gut microbiota changes with inflammatory bowel disease (IBD), raising the potential benefit of exploiting metagenomics data for non-invasive IBD diagnostics. The sbv IMPROVER Metagenomics Diagnosis for Inflammatory Bowel Disease Challenge (MEDIC) investigated computational metagenomics methods for discriminating IBD and nonIBD subjects. Participants in this challenge were given independent training and test metagenomics data from IBD and nonIBD subjects, which could be wither either raw read data (sub-challenge 1, SC1) or processed taxonomy- and function-based profiles (sub-challenge 2, SC2). A total of 81 anonymized submissions were received between September 2019 and March 2020. Most participants’ predictions performed better than random predictions in classifying IBD vs nonIBD, Ulcerative Colitis (UC) vs nonIBD, and Crohn’s Disease (CD) vs nonIBD. However, discrimination between UC and CD remains challenging, with the classification quality similar to the set of random predictions. We analyzed the class prediction accuracy, the metagenomics features by the teams, and computational methods used. These results will be openly shared with the scientific community to help advance IBD research and illustrate the application of a range of computational methodologies for effective metagenomic classification.

Published
2023

45. DynOMICS: a total microfluidic-AI system for genome-wide E. coli transcriptional dynamics and heavy metal biosensing

Author

Graham, Garrett C

Subjects
Bioengineering, biosensor, dynamics, heavy metal, machine learning, microfluidics, sensor
Abstract

Recent developments in the field of quantitative biology have demonstrated that genetic networks rely upon information encoded in their temporal dynamics, rather than beginning and ending steady-states, to govern their behavior. However, until now, there has been no tool with which to continuously observe genome-wide transcriptional dynamics without terminating the subject population. In response to this need, we developed DynOMICS, a total microfluidic and machine learning system that can monitor the state of gene expression across the E. coli genome in real time. We demonstrate its effectiveness as a field-deployable sensor, showing that it can learn the dynamic genomic signatures of heavy metal stress in both actual urban waters from several American cities and in samples from a toxic mining spill. By harnessing the microfluidics to a state-of-the-art deep neural network and an associated explanatory artificial intelligence (XAI) algorithm, we demonstrate its potential as a scientific instrument. We show that, in combination with DynOMICS, we can use deep learning networks to learn and understand bacterial transcriptional dynamics on a genome-scale. The combination of advanced microfluidics and AI-XAI is the first of its kind and is a powerful tool for quantitatively interrogating the E. coli genome.

Published
2019

47. Figure S3 from An AIB1 Isoform Alters Enhancer Access and Enables Progression of Early-Stage Triple-Negative Breast Cancer

Author

Sharif, Ghada M., primary, Campbell, Moray J., primary, Nasir, Apsra, primary, Sengupta, Surojeet, primary, Graham, Garrett T., primary, Kushner, Max H., primary, Kietzman, William B., primary, Schmidt, Marcel O., primary, Pearson, Gray W., primary, Loudig, Olivier, primary, Fineberg, Susan, primary, Wellstein, Anton, primary, and Riegel, Anna T., primary

Published
2023
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49. Table S5 from The ETS Inhibitors YK-4-279 and TK-216 Are Novel Antilymphoma Agents

Author

Spriano, Filippo, primary, Chung, Elaine Yee Lin, primary, Gaudio, Eugenio, primary, Tarantelli, Chiara, primary, Cascione, Luciano, primary, Napoli, Sara, primary, Jessen, Katti, primary, Carrassa, Laura, primary, Priebe, Valdemar, primary, Sartori, Giulio, primary, Graham, Garrett, primary, Selvanathan, Saravana P., primary, Cavalli, Andrea, primary, Rinaldi, Andrea, primary, Kwee, Ivo, primary, Testoni, Monica, primary, Genini, Davide, primary, Ye, B. Hilda, primary, Zucca, Emanuele, primary, Stathis, Anastasios, primary, Lannutti, Brian, primary, Toretsky, Jeffrey A., primary, and Bertoni, Francesco, primary

Published
2023
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50. Table S3 from An AIB1 Isoform Alters Enhancer Access and Enables Progression of Early-Stage Triple-Negative Breast Cancer

Author

Sharif, Ghada M., primary, Campbell, Moray J., primary, Nasir, Apsra, primary, Sengupta, Surojeet, primary, Graham, Garrett T., primary, Kushner, Max H., primary, Kietzman, William B., primary, Schmidt, Marcel O., primary, Pearson, Gray W., primary, Loudig, Olivier, primary, Fineberg, Susan, primary, Wellstein, Anton, primary, and Riegel, Anna T., primary

Published
2023
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