Sampreeti相关文献与解析，生知库 | 链接生命科学的每一步

CREB5 regulates stem cell-like transcriptional programs to enhance tumor progression in prostate cancer

CREB5 调控干细胞样转录程序，从而促进前列腺癌的肿瘤进展

Makovec, Allison; Phoenix, John T; Bergom, Hannah E; Boytim, Ella; Gustafson, Ava P; Deacon, Aiden; Tape, Sydney; Ali, Atef; Ludwig, Megan; Pitzen, Samuel P; Moline, David; Richter, Camden; Longie, Hudson; Su, Mei-Chi; Jena, Sampreeti; Likasitwatanakul, Pornlada; Drake, Justin M; Huang, R Stephanie; Hahn, William C; Rennhack, Jonathan P; Dehm, Scott M; Kregel, Steven; Antonarakis, Emmanuel S; Hwang, Justin

肿瘤

Novel Mixed Cancer-Cell Models Designed to Capture Inter-Patient Tumor Heterogeneity for Accurate Evaluation of Drug Combinations

新型混合癌细胞模型旨在捕捉患者间肿瘤异质性，从而准确评估药物组合

期刊:International Journal of Molecular Sciences

影响因子:4.9

doi:10.3390/ijms27010413

Jena, Sampreeti; Kim, Daniel C; Lee, Adam M; Zhang, Weijie; Zhan, Kevin; Elmorsi, Radwa M; Li, Yingming; Dehm, Scott M; Huang, R Stephanie

Novel mixed cancer-cell models designed to capture inter-patient tumor heterogeneity for accurate evaluation of drug combinations

新型混合癌细胞模型旨在捕捉患者间肿瘤异质性，从而准确评估药物组合

期刊:

影响因子:

doi:10.21203/rs.3.rs-6590535/v1

Jena, Sampreeti; Kim, Daniel; Lee, Adam M; Zhang, Weijie; Zhan, Kevin; Li, Yingming; Dehm, Scott M; Huang, R Stephanie

Integration of Pan-Cancer Cell Line and Single-Cell Transcriptomic Profiles Enables Inference of Therapeutic Vulnerabilities in Heterogeneous Tumors

整合泛癌细胞系和单细胞转录组谱分析，可推断异质性肿瘤的治疗弱点

期刊:Cancer Research

影响因子:16.6

doi:10.1158/0008-5472.CAN-23-3005

Zhang, Weijie; Maeser, Danielle; Lee, Adam; Huang, Yingbo; Gruener, Robert F; Abdelbar, Israa G; Jena, Sampreeti; Patel, Anand G; Huang, R Stephanie

A Web Application for Predicting Drug Combination Efficacy Using Monotherapy Data and IDACombo

利用单药治疗数据和IDACombo预测药物组合疗效的Web应用程序

期刊:

影响因子:

doi:10.26502/jcsct.5079218

Xia, Yunong; Ling, Alexander L; Zhang, Weijie; Lee, Adam; Su, Mei-Chi; Gruener, Robert F; Jena, Sampreeti; Huang, Yingbo; Pareek, Siddhika; Shan, Yuting; Huang, R Stephanie

发表日期：2024

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Revealing Pan-Histology Immunomodulatory Targets in Pediatric Central Nervous System Tumors

揭示儿童中枢神经系统肿瘤的全组织学免疫调节靶点

期刊:Cancers

影响因子:

doi:10.3390/cancers15225455

Robert T Galvin, Sampreeti Jena, Danielle Maeser, Robert Gruener, R Stephanie Huang

Inferring therapeutic vulnerability within tumors through integration of pan-cancer cell line and single-cell transcriptomic profiles

通过整合泛癌细胞系和单细胞转录组谱推断肿瘤的治疗脆弱性

期刊:

影响因子:

doi:10.1101/2023.10.29.564598

Zhang, Weijie; Maeser, Danielle; Lee, Adam; Huang, Yingbo; Gruener, Robert F; Abdelbar, Israa G; Jena, Sampreeti; Patel, Anand G; Huang, R Stephanie

Computational drug discovery for castration-resistant prostate cancers through in vitro drug response modeling

通过体外药物反应模型进行去势抵抗性前列腺癌的计算药物发现

期刊:Proceedings of the National Academy of Sciences of the United States of America

影响因子:

doi:10.1073/pnas.2218522120

Weijie Zhang, Adam M Lee, Sampreeti Jena, Yingbo Huang, Yeung Ho, Kiel T Tietz, Conor R Miller, Mei-Chi Su, Joshua Mentzer, Alexander L Ling, Yingming Li, Scott M Dehm, R Stephanie Huang

Simplicity: Web-Based Visualization and Analysis of High-Throughput Cancer Cell Line Screens

简易性：基于网络的癌细胞系高通量筛选可视化与分析

期刊:

影响因子:

doi:10.26502/jcsct.5079217

Ling, Alexander L; Zhang, Weijie; Lee, Adam; Xia, Yunong; Su, Mei-Chi; Gruener, Robert F; Jena, Sampreeti; Huang, Yingbo; Pareek, Siddhika; Shan, Yuting; Stephanie Huang, R

Comparative clinical transcriptome of pir genes in severe Plasmodium vivax malaria

重症间日疟原虫疟疾中pir基因的比较临床转录组

CREB5 regulates stem cell-like transcriptional programs to enhance tumor progression in prostate cancer

CREB5 调控干细胞样转录程序，从而促进前列腺癌的肿瘤进展

Novel Mixed Cancer-Cell Models Designed to Capture Inter-Patient Tumor Heterogeneity for Accurate Evaluation of Drug Combinations

新型混合癌细胞模型旨在捕捉患者间肿瘤异质性，从而准确评估药物组合

Novel mixed cancer-cell models designed to capture inter-patient tumor heterogeneity for accurate evaluation of drug combinations

新型混合癌细胞模型旨在捕捉患者间肿瘤异质性，从而准确评估药物组合

Integration of Pan-Cancer Cell Line and Single-Cell Transcriptomic Profiles Enables Inference of Therapeutic Vulnerabilities in Heterogeneous Tumors

整合泛癌细胞系和单细胞转录组谱分析，可推断异质性肿瘤的治疗弱点

A Web Application for Predicting Drug Combination Efficacy Using Monotherapy Data and IDACombo

利用单药治疗数据和IDACombo预测药物组合疗效的Web应用程序

Revealing Pan-Histology Immunomodulatory Targets in Pediatric Central Nervous System Tumors

揭示儿童中枢神经系统肿瘤的全组织学免疫调节靶点

Inferring therapeutic vulnerability within tumors through integration of pan-cancer cell line and single-cell transcriptomic profiles

通过整合泛癌细胞系和单细胞转录组谱推断肿瘤的治疗脆弱性

Computational drug discovery for castration-resistant prostate cancers through in vitro drug response modeling

通过体外药物反应模型进行去势抵抗性前列腺癌的计算药物发现

Simplicity: Web-Based Visualization and Analysis of High-Throughput Cancer Cell Line Screens

简易性：基于网络的癌细胞系高通量筛选可视化与分析