Skip to main content
Eila Serrano-Hervás on Muck Rack

Eila Serrano-Hervás

As seen in: Nature, Royal Society of Chemistry
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Eila

Contact Eila, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Mitochondrial priming and response to BH3 mimetics in “one-two punch” senogenic-senolytic strategies - Cell Death Discovery

|
By Eila Serrano-Hervás, Joaquim Bosch-Barrera, Josep Sardanyes, Ruth Lupu
| Nature Verified
Abstract A one-two punch sequential regimen of senescence-inducing agents followed by senolytic drugs has emerged as a novel therapeutic strategy in cancer. Unfortunately, cancer cells undergoing therapy-induced senescence (TIS) vary widely in their sensitivity to senotherapeutics, and companion diagnostics to predict the response of TIS cancer cells to a specific senolytic drug are lacking.
Open in Who Shared Issue with article?

Fatty acid synthase (FASN) is a tumor-cell-intrinsic metabolic checkpoint restricting T-cell immunity - Cell Death Discovery

|
By Miguel Pardo Verified, Joaquim Bosch-Barrera, Josep Sardanyes, Roderic Espin Garcia, Eila Serrano-Hervás, Ruth Lupu, Miguel Angel Pujana
| Nature Verified
Abstract Fatty acid synthase (FASN)-catalyzed endogenous lipogenesis is a hallmark of cancer metabolism. However, whether FASN is an intrinsic mechanism of tumor cell defense against T cell immunity remains unexplored.
Open in Who Shared Issue with article?

Celebrating the 2024 Nobel Prize in Chemistry Home

|
By Daria De Raffele, Ioana M. Ilie, Miguel A Maria-Solano, Eila Serrano-Hervás
| Royal Society of Chemistry Verified
This cross-journal collection celebrates the 2024 Nobel Prize in Chemistry by bringing together research published on computational protein design and protein structure prediction. Nobel Laureates Demis Hassabis and John M. Jumper have successfully used artificial intelligence to predict the structure of almost all known proteins, and Nobel Laureate David Baker has used this technology to design and create entirely new proteins.
Open in Who Shared Issue with article?
See all 3 articles