Molecules and Cells

Cited by CrossRef (7)

  1. Madison Dautle, Shaoqiang Zhang, Yong Chen. scTIGER: A Deep-Learning Method for Inferring Gene Regulatory Networks from Case versus Control scRNA-seq Datasets. IJMS 2023;24:13339
    https://doi.org/10.3390/ijms241713339
  2. Mariantonietta D’Ambrosio, Jesús Gil. Reshaping of the tumor microenvironment by cellular senescence: An opportunity for senotherapies. Developmental Cell 2023;58:1007
    https://doi.org/10.1016/j.devcel.2023.05.010
  3. Hyunwoo C. Kwon, Yunkyu Bae, Seung-Jae V. Lee. The Role of mRNA Quality Control in the Aging of Caenorhabditis elegans. Mol.Cells 2023;46:664
    https://doi.org/10.14348/molcells.2023.0103
  4. Jubin Feng, Fengyihuan Fu, Yuqiang Nie. Comprehensive genomics analysis of aging related gene signature to predict the prognosis and drug resistance of colon adenocarcinoma. Front. Pharmacol. 2023;14
    https://doi.org/10.3389/fphar.2023.1121634
  5. Nhat-Tu Le. Metabolic regulation of endothelial senescence. Front. Cardiovasc. Med. 2023;10
    https://doi.org/10.3389/fcvm.2023.1232681
  6. Maria A. Zamkova, Nadezhda A. Persiyantseva, Victor V. Tatarskiy, Alexander A. Shtil. Therapy-Induced Tumor Cell Senescence: Mechanisms and Circumvention. Biochemistry Moscow 2023;88:86
    https://doi.org/10.1134/S000629792301008X
  7. Tareq Saleh, Sarah Bloukh, Mira Hasan, Sofian Al Shboul. Therapy-induced senescence as a component of tumor biology: Evidence from clinical cancer. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer 2023;1878:188994
    https://doi.org/10.1016/j.bbcan.2023.188994