Eunice López-Fuentes

Dr. Eunice López-Fuentes

University of California - San Francisco
orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 November 2024 in Nature Materials
Verified
Journal Article
Closed access
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MAManish Ayushman
Manish Ayushman
GMGeorgios Mikos
Georgios Mikos
XTXinming Tong
Xinming Tong
SSSauradeep Sinha
Sauradeep Sinha
ELEunice López-Fuentes
Eunice López-Fuentes
FYFan Yang
Fan Yang

3 October 2025 in Cancer Discovery
Verified
Journal Article
Open access
ELEunice López-Fuentes
Eunice López-Fuentes
ACAndrew S. Clugston
Andrew S. Clugston
ALAlex G. Lee
Alex G. Lee
LSLeanne C. Sayles
Leanne C. Sayles
NSNatalie Sorensen
Natalie Sorensen
ESE. Alejandro Sweet-Cordero
E. Alejandro Sweet-Cordero
Osteosarcoma is a genomically complex tumor characterized by widespread structural rearrangements. This complexity has limited the development of therapeutic strategies informed by molecular mechanisms of oncogenesis. We hypothesized that epigenetic mechanisms could drive distinct subtypes of osteosarcoma. Through analysis of chromatin accessibility, we identified an “early osteoblast–derived” cell state, characterized by upregulation of transcription factors associated with early bone development, and a “late osteoblast–derived” state, characterized by upregulation of genes involved in late bone development. We then defined core regulatory circuitries governing the underlying gene expression programs in these two cell states. Multiomic single-cell analysis indicates that these cell states coexist in a single tumor. Finally, using a panel of patient-derived xenograft models, we identified differential drug responses dependent on these cellular states. These findings create opportunities for developing new combination therapy strategies for osteosarcoma treatment and underscore the value of defining epigenetic subtypes in highly genomically complex cancers. Significance: This study identifies two distinct cellular states in osteosarcoma, driven by specific transcription factor circuitries linked to normal bone development. These epigenetically defined states demonstrate differential drug responses, are identifiable in patient samples, and are correlated with survival.

25 November 2021 in Journal of Fungi
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Journal Article
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GHGrecia Hernández-Hernández
Grecia Hernández-Hernández
LVLaura A. Vera-Salazar
Laura A. Vera-Salazar
LCLeonardo Castanedo
Leonardo Castanedo
ELEunice López-Fuentes
Eunice López-Fuentes
GEGuadalupe Gutierrez Escobedo
Guadalupe Gutierrez Escobedo
ICIrene Castaño
Irene Castaño
Accurate DNA replication and segregation is key to reproduction and cell viability in all organisms. Autonomously replicating sequence-binding factor 1 (Abf1) is a multifunctional protein that has essential roles in replication, transcription, and regional silencing in the model yeast Saccharomyces cerevisiae. In the opportunistic pathogenic fungus Candida glabrata, which is closely related to S. cerevisiae, these processes are important for survival within the host, for example, the regulation of transcription of virulence-related genes like those involved in adherence. Here, we describe that CgABF1 is an essential gene required for cell viability and silencing near the telomeres, where many adhesin-encoding genes reside. CgAbf1 mediated subtelomeric silencing depends on the 43 C-terminal amino acids. We also found that abnormal expression, depletion, or overexpression of Abf1, results in defects in nuclear morphology, nuclear segregation, and transit through the cell cycle. In the absence of ABF1, cells are arrested in G2 but start cycling again after 9 h, coinciding with the loss of cell viability and the appearance of cells with higher DNA content. Overexpression of CgABF1 causes defects in nuclear segregation and cell cycle progression. We suggest that these effects could be due to the deregulation of DNA replication.

18 June 2026
Verified
Other
Open access
ELEunice López-Fuentes
Eunice López-Fuentes
ACAndrew S. Clugston
Andrew S. Clugston
ALAlex G. Lee
Alex G. Lee
LSLeanne C. Sayles
Leanne C. Sayles
NSNatalie Sorensen
Natalie Sorensen
ESE. Alejandro Sweet-Cordero
E. Alejandro Sweet-Cordero
Supplementary Table S5. Primers and data from qRT-PCR used to generate networks related to Figure 4E-4F.

18 June 2026
Verified
Other
Open access
ELEunice López-Fuentes
Eunice López-Fuentes
ACAndrew S. Clugston
Andrew S. Clugston
ALAlex G. Lee
Alex G. Lee
LSLeanne C. Sayles
Leanne C. Sayles
NSNatalie Sorensen
Natalie Sorensen
ESE. Alejandro Sweet-Cordero
E. Alejandro Sweet-Cordero
Supplementary Figure S7 shows the Multiomics for single nucleus ATAC-seq + RNA-seq from cell lines.

18 June 2026
Verified
Other
Open access
ELEunice López-Fuentes
Eunice López-Fuentes
ACAndrew S. Clugston
Andrew S. Clugston
ALAlex G. Lee
Alex G. Lee
LSLeanne C. Sayles
Leanne C. Sayles
NSNatalie Sorensen
Natalie Sorensen
ESE. Alejandro Sweet-Cordero
E. Alejandro Sweet-Cordero
Supplementary Table S2. Differential accessible regions (DAR) related to Figure 1B.