@jbp1993.bsky.social
Reposted
Excited to see our PNAS paper highlighted on Kudos, with an accessible take on the findings.
Disease links are not random—they can be predicted from the expression of our genes.
www.growkudos.com/publications...
@pnas.org @alfonsovalencia.bsky.social
📄 doi.org/10.1073/pnas...
Disease links are not random—they can be predicted from the expression of our genes.
www.growkudos.com/publications...
@pnas.org @alfonsovalencia.bsky.social
📄 doi.org/10.1073/pnas...
Molecular map reveals hidden disease connections
Diseases rarely come alone. Many people experience a chain of diagnoses across their lives—for example, smoking-related lung cancer, asthma followed by Parkinson’s disease, or depression alongside lup...
www.growkudos.com
September 8, 2025 at 4:30 PM
Excited to see our PNAS paper highlighted on Kudos, with an accessible take on the findings.
Disease links are not random—they can be predicted from the expression of our genes.
www.growkudos.com/publications...
@pnas.org @alfonsovalencia.bsky.social
📄 doi.org/10.1073/pnas...
Disease links are not random—they can be predicted from the expression of our genes.
www.growkudos.com/publications...
@pnas.org @alfonsovalencia.bsky.social
📄 doi.org/10.1073/pnas...
Reposted
8/ Science already takes time, I hope to help make it worth it.
Finally, terrified, we sent it to PNAS @pnas.org.
After one round of review, reports came back: supportive. Positive.
Accepted 🎉 🎉
Finally, terrified, we sent it to PNAS @pnas.org.
After one round of review, reports came back: supportive. Positive.
Accepted 🎉 🎉
September 2, 2025 at 6:37 PM
8/ Science already takes time, I hope to help make it worth it.
Finally, terrified, we sent it to PNAS @pnas.org.
After one round of review, reports came back: supportive. Positive.
Accepted 🎉 🎉
Finally, terrified, we sent it to PNAS @pnas.org.
After one round of review, reports came back: supportive. Positive.
Accepted 🎉 🎉
Reposted
7/ What I learned:
Publishing can be arbitrary.
Some reviewers make up their minds before seeing the evidence.
One reviewer can wield disproportionate power.
Rebuttals must be painfully clear.
Editors often fail to step in, even when the situation is obvious.
Don’t assume fairness in peer review
👇
Publishing can be arbitrary.
Some reviewers make up their minds before seeing the evidence.
One reviewer can wield disproportionate power.
Rebuttals must be painfully clear.
Editors often fail to step in, even when the situation is obvious.
Don’t assume fairness in peer review
👇
September 2, 2025 at 6:37 PM
7/ What I learned:
Publishing can be arbitrary.
Some reviewers make up their minds before seeing the evidence.
One reviewer can wield disproportionate power.
Rebuttals must be painfully clear.
Editors often fail to step in, even when the situation is obvious.
Don’t assume fairness in peer review
👇
Publishing can be arbitrary.
Some reviewers make up their minds before seeing the evidence.
One reviewer can wield disproportionate power.
Rebuttals must be painfully clear.
Editors often fail to step in, even when the situation is obvious.
Don’t assume fairness in peer review
👇
Reposted
1/ Everything that could go wrong in paper publishing… did.
A story of patience, absurdity, and persistence 🌀 <1min
From Alfonso Valencia’s lab and a very stubborn PhD student (me).
A story of patience, absurdity, and persistence 🌀 <1min
From Alfonso Valencia’s lab and a very stubborn PhD student (me).
September 2, 2025 at 6:37 PM
1/ Everything that could go wrong in paper publishing… did.
A story of patience, absurdity, and persistence 🌀 <1min
From Alfonso Valencia’s lab and a very stubborn PhD student (me).
A story of patience, absurdity, and persistence 🌀 <1min
From Alfonso Valencia’s lab and a very stubborn PhD student (me).
Reposted
🚨 New in PNAS!
🧬 64% of disease co-occurrences can be explained by transcriptomic similarities.
Comorbidities aren’t random—they have a molecular basis.
Here’s how we found it 👇 (1/n)
🔗 doi.org/10.1073/pnas.2421060122
@alfonsovalencia.bsky.social
🧬 64% of disease co-occurrences can be explained by transcriptomic similarities.
Comorbidities aren’t random—they have a molecular basis.
Here’s how we found it 👇 (1/n)
🔗 doi.org/10.1073/pnas.2421060122
@alfonsovalencia.bsky.social
September 2, 2025 at 11:42 AM
🚨 New in PNAS!
🧬 64% of disease co-occurrences can be explained by transcriptomic similarities.
Comorbidities aren’t random—they have a molecular basis.
Here’s how we found it 👇 (1/n)
🔗 doi.org/10.1073/pnas.2421060122
@alfonsovalencia.bsky.social
🧬 64% of disease co-occurrences can be explained by transcriptomic similarities.
Comorbidities aren’t random—they have a molecular basis.
Here’s how we found it 👇 (1/n)
🔗 doi.org/10.1073/pnas.2421060122
@alfonsovalencia.bsky.social