Diff_cell_shift

NIAID Data Ecosystem2026-03-07 收录

细胞衰老诱导

乳腺肿瘤模型

数据链接：

https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE2427 数据链接链接失效反馈

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资源简介：

Immortalised lines created from different cell types from the human breast were induced to undergo senesecence by inactivation of the immortalising LT antigen. Keywords: ordered

创建时间：

2012-03-16

Genomic Profiling of mouse mammary tumor models identifies miRNA signatures associated with mammary tumor lineage (mammary normal and tumors in different mice strains)

乳腺癌miRNA

乳腺肿瘤模型

MicroRNAs (miRNAs) are small, non-coding, endogenous RNAs involved in many human diseases including breast cancer. miRNA expression profiling of human breast cancers has identified miRNAs related to t

NIAID Data Ecosystem80

Mouse tumors: Chaos3 Mammary Tumors (MTs) vs. Controls. Mus musculus

乳腺肿瘤模型

拷贝数变异分析

CNV profiling of tumors obtained from our Chaos3 mouse model for spontaneous breast cancer. The goal of this experiment was to determine copy number variations that were specific to MTs derived from t

NIAID Data Ecosystem20

Resveratrol Induces Premature Senescence in Lung Cancer Cells via ROS-Mediated DNA Damage

抗癌药物机制

细胞衰老诱导

Resveratrol (RV) is a natural component of red wine and grapes that has been shown to be a potential chemopreventive and anticancer agent. However, the molecular mechanisms underlying RV's anticancer

NIAID Data Ecosystem20

A ‘Synthetic-Sickness’ Screen for Senescence Re-engagement Targets in Mutant Cancer Backgrounds. Homo sapiens

细胞衰老诱导

KRAS突变治疗

Senescence is a universal barrier to immortalisation and tumorigenesis. As such, interest in the use of senescence-induction in a therapeutic context has been gaining momentum in the past few years; h

NIAID Data Ecosystem40

4T1 PBS vs ADV gene.TPM.matrix.annot.xls

乳腺肿瘤模型

病毒治疗

For studies of orthotopically grown breast tumors, BALB/c mice were injected into the third mammary fat pad with 2.5×10 5 4T1 cells suspended in 100 μl of HBSS. When the tumors reached appro

DataCite Commons2025-09-12 更新20

Diff_cell_shift

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