Weiwei Zhai

Population geneticist by training, interested in cancer and somatic cell evolution@Institute of Zoology, CAS, Beijing|Previous @astar_gis, @UCBerkeley, @Cornell

[Nature Reviews Genetics @NatureRevGenet]

New online! Computational approaches for multimodal lineage tracing https://t.co/YUi6FQ9Z9g

[nature @Nature]

Nature research paper: Ecotypes of triple-negative breast cancer in response to chemotherapy
https://t.co/a7wEoOA6N2

[Live Science @LiveScience]

A new study of six Homo erectus individuals from China reveals one amino acid variant that distinguished this archaic human from all other human lineages and one that it passed on to modern humans via Denisovans. https://t.co/4J5WpmGjND

[Jonathan Weissman's Lab @JswLab]

Using PEtracer (https://t.co/WL58b2Tz49) we reconstructed lineage trees for 16 mouse embryos sampled at half-day intervals from E7.5 to E10. We profiled ~50% of cells from each embryo by scRNA-seq, capturing late & rare fate restriction events that would be missed by subsampling

[Molecular Biology and Evolution @MolBioEvol]

The March cover of Molecular Biology and Evolution features the work of Leria and Maldonado, who investigated biosilicification and skeletal evolution in sponges. Follow the link for this month's articles:

🔗 https://t.co/GilW5VnVwT

#evobio #molbio #societyjournal

[Molecular Biology and Evolution @MolBioEvol]

The January cover of Molecular Biology and Evolution features the work of Stanek et al., who investigated chromosome-specific size expansion by focusing on the Drosophila "dot chromosome”.

🔗 https://t.co/mwEIsSyeFo

#evobio #molbio #drosophila

[UC Berkeley @UCBerkeley]

Six UC Berkeley researchers have been elected to the National Academy of Sciences (@theNASciences), one of the most prestigious honors in American science.
https://t.co/0LugJO1s2k

[Molecular Biology and Evolution @MolBioEvol]

The February cover of Molecular Biology and Evolution features the work of Ward et al. on the evolution of SERPINA snake venom inhibitors in rodents.

🔗 https://t.co/PRvj68XkV6

🖌️ Rajani Arora

#evobio #molbio

[Molecular Biology and Evolution @MolBioEvol]

The May issue of MBE is here, featuring the work of Topaloudis et al., who evaluated genotype imputation accuracy in a large barn owl low-coverage WGS dataset.

🔗 https://t.co/68mmczlT1m

📷 Alex Labhardt

#evobio #molbio

[UC Berkeley @UCBerkeley]

Two historians, a biologist and a bioengineer from UC Berkeley have won illustrious Guggenheim Fellowships and will pursue independent work under “the freest possible conditions.” https://t.co/FfZXldTOZd

[Nrken19 @nrken19]

Genome-wide genealogies reveal deep admixtures forming modern humans.

Funny name to call the method for "GhostBuster"

https://t.co/mjmJMUiNnK

[Weiwei Zhai @weiwei_beijing]

@zhizhid @Nature thank you very much, Degui!

[Weiwei Zhai @weiwei_beijing]

Super excited to publish this study on EBV and human interaction driving high incidence of nasopharyngeal carcinoma in Southern China. at @Nature https://t.co/YP1LqleGh9 with Miao XU, Jianjun LIU, Zhonghua LIU。

[StemCellReports @stemcellreports]

Stem Cell Reports is pleased to announce the appointment of Hongmei Wang, Ph.D., as an Associate Editor. Dr. Wang is a professor of State Key Laboratory of Organ Regeneration and Reconstruction, Institute of Zoology, Chinese Academy of Sciences (CAS).

https://t.co/fGFSbeAXWW

[Runxi Shen @wshenrx]

Such a great honor for me to start a new chapter of my career as a Research Assistant Professor at Purdue University and to co-lead the Carpenter-Shen lab with @DrAnneCarpenter! More details: https://t.co/AlwgL2vphh

[Human Cell Atlas @humancellatlas]

We’re pleased to announce an exciting lineup of confirmed speakers for the 2026 HCA Asia Meeting in Perth, Australia, 2–4 November. Find out more about our speakers here: https://t.co/Sfch14uYcz #HCA2026Asia
#Genetics #SingleCell #Spatial

[Andrea Sottoriva @AndreaSottoriva]

Cancer is an evolutionary process. We've known this for decades, but we didn't know whether its complexity was tractable.

We now know we can measure and sometimes predict cancer evolution in patients from molecular ('omics) data, although with still suboptimal precision.

A way forward is combining evolutionary theory (maths and concepts from theoretical population genetics) with machine learning & AI, the latter filling the theory “gaps” when solutions from first principles are out of reach.

Building predictive models of cancer evolution means we may be able to control the disease, designing evolution-aware therapies that prevent or delay drug resistance.

Come to learn more about this at #AACR26 session: ED53 - Cancer Systems Biology, Ecology, and Evolution. https://t.co/ra7BjJ6DTK

[Weiwei Zhai @weiwei_beijing]

Super excited to publish this work: STEER: Decoupling kinetics with Spatial-Temporal Explainable Expert Model for RNA velocity inference, https://t.co/V47MmeoQYa with @LiangMa_IOZ at National Science Review @NSR_Family

[Ivana Bozic @IBozic_]

Join us on Tuesday, April 7 at 11am PDT to hear Kamila Naxerova @naxerova from Harvard Medical School in the next installment of the Mathematical and Computational Modeling of Cancer Seminar. Livestream link to follow shortly.

[David Sinclair @davidasinclair]

This paper took us 13 years and is one of the longest papers ever in Cell. Check it out & judge for yourself
https://t.co/Ra0CX1i5zt