Bednar lab

Pancreatic cancer research, epigenetics, tumor immunology, tumor evolution, surgeons doing basic science, UM PanTErA, #NewPISlack, personal Twitter: @Fil_Bednar

[Bednar lab @BednarLab]

Anyone even remotely interested in tumor biology and metabolism should line up!

[Katherine Aird @airdlab]

Looking for a postdoc position and attending AACR in San Diego? I'll be there, too, and the lab is actively recruiting! Send me an email with your CV and cover letter, and I’ll follow up if there is a mutual fit. See more about our research at https://t.co/wI5ptrsTVr.

[Jennifer Broderick @Jen_Angela]

In Memoriam: Professor Greg Hannon (1964–2026) https://t.co/fEhxvBN5N2 https://t.co/fEhxvBN5N2

[Bednar lab @BednarLab]

Really nice work highlighting the role of stroma-produced PAI-1 and tPA in the modulation of pancreatic cancer immune response by our colleague, Kyoung Lee!

@UMICHpancreas

https://t.co/61vxhS3l0v

[Bednar lab @BednarLab]

@LyssiotisLab Agree! This is nuts! Combining synthetic biology with in vivo understanding to give an intervention like this!

[Bednar lab @BednarLab]

@PitarresiLab Congratulations!!!

[Prof. Nikolai Slavov @slavov_n]

Biology is not static -- proteins are constantly being made, modified, and destroyed as cells live, respond, and adapt.

Each cell interacts with other cells and its matrix to shape its proteome and dynamic responses. That’s why understanding in vivo proteome dynamics at the level of individual cells is one of the most exciting frontiers in understanding biological systems.

1/2

[Anirban Maitra @Aiims1742]

Cover article of @CR_AACR by @Pasca_Lab @UMICHpancreas
Wilms Tumor 1–Expressing Stromal Cells Promote Pancreatic Cancer Progression
https://t.co/YCYcF2nZi2
Very nice study with autochthonous models to track the fate of WT1+ fibroblasts and impact of depletion on natural history.

[Anirban Maitra @Aiims1742]

Preprint from @UMICHpancreas (Eileen Carpenter):
Longitudinal analysis of matched patient biospecimens reveals neural reprogramming of Cancer-associated fibroblasts ("NR-CAFs") following chemotherapy in #PancreaticCancer
https://t.co/Vdc8aMkyzl

[Daniela Cerezo Wallis @danielacerezo]

I’m thrilled to introduce you to the NeuMap! our latest work in @Nature. A global, comprehensive, single-cell transcriptional atlas of neutrophils across 47 biological conditions in human and mice. A real tour-de-force 🗺️ @AndrsHidalgo16 https://t.co/W8X6eOUsKc

[Jennifer Bailey-Lundberg @DuctalvsAcinar]

Sharing our new preprint: In mice, lipid-rich diets prior to oncogenic Kras activation accelerate tumorigenesis and remodel epithelial-stromal plasticity and dynamics. Thanks to our outstanding co-first authors @kaur_urvinder and @erifaraoni
https://t.co/EJJuZRKhEZ

[Michael 英泉 Eisen @mbeisen]

Biology is not random. And so if you measure any aspect of it a lot of times and compare your data to a random model you will eventually rederive this fact. The problem with absurdly small p-values is that, because you can essentially always get them by juicing your sample size, when you see something like p < 10^-300 what it’s really saying is THAT biology is non-random, which we already knew, and not HOW it is non-random, which is what we really care about.

[Anirban Maitra @Aiims1742]

COLLECTION of papers on Spatial Transcriptomics of IPMNs (Cystic Precursor lesions of #PancreaticCancer):
https://t.co/TAOlsZsc0w
https://t.co/lJfrHGxA3G
https://t.co/yjTb9Xg1uR
https://t.co/ZhobdH0sCF
https://t.co/kIRO8rYrm5
https://t.co/Izjv3eTPIx
https://t.co/yhgrRbsKIE

[Ming "Tommy" Tang @tangming2005]

1/ You think your ML model fails because it’s “not powerful enough”?
No. It’s your data.
Garbage in, garbage out.
Here’s what most AI scientists miss when using public RNA-seq or single-cell data 👇

[Rogel and Blondy Center for Pancreatic Cancer @UMICHpancreas]

We're excited to kick off the 2nd annual PancMidwest Symposium. We'll have two days of presentations, posters and networking among pancreatic cancer researchers in the region.

[Bednar lab @BednarLab]

@ProfBootyPhD @NikoMcCarty It comes down to scales and how information transfer happens across them. How do we go from single molecules and their physicochemical behavior to a functioning organism. That is to say I agree with you 💯. In my mind this is one of the most fundamental problems in biology.

[Anirban Maitra @Aiims1742]

Kudos to @PanCAN for creating the SPARK data platform containing vast troves of clinical, imaging, laboratory &amp; molecular data from Precision Promise and Know Your Tumor.
Fabulous resource for #PancreaticCancer researchers in both academia and industry. @sdosssdoss

[Jennifer Guerriero, PhD @JennGuerriero]

PSA: Stop calling macrophages in tissue M1 or M2. These are not states that exist in biology. The only use of M1 is a macrophage cultured ex vivo with LPS and IFNg; and for M2: IL-4/13/10. Macrophages in tissues are highly complex and diverse and do not resemble either of the aforementioned M1/M2 states. M1/M2 language causes confusion and sets the field back. Refer to your macrophages by the molecules they express and the cytokines they make.

[Anirban Maitra @Aiims1742]

Abstract titles for the 2025 @AACR special conference on #PancreaticCancer in Boston are now online:
https://t.co/w8rs6kJ6UE

Full program:
https://t.co/eSTabVNm8v
#AACRPan25
Hope to see many of you there
@ednacukierman @lauradelongwood @isteaus @lustgartenfdn @letswinpc

[Bednar lab @BednarLab]

@slavov_n The emphasis on tumor immunosurveillance is interesting. Whatever carcinogenesis model gets put forth, it should take into account and be able to reflect the recent significant rise in young adult-onset cancers in some solid organs.

[Anirban Maitra @Aiims1742]

A special @jclinicalinvest series on #PancreaticCancer led by @BenStanger01
https://t.co/Z6DzZofL7w
https://t.co/jocQbqqVaq
https://t.co/4luPTH6z9D
https://t.co/8EXF9IYfDw
https://t.co/qCD17M0Jti
Articles by @lauradelongwood @Muir_Lab @MaddipatiLab