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Tetsuya Yamada

@tyamadat.bsky.social
250 followers 492 following 11 posts

PhD student @UniHeidelberg | Kaessmann lab | UTokyo alumn

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Reposted by Tetsuya Yamada
David Gokhman @david-gokhman.bsky.social · 23/09/2026
Humans are remarkably prone to degenerative skeletal diseases. Other apes, much less so, even in old age. In our new paper in @nature.com , we map the genetic changes that shaped our skeleton and uncover a major clue to why it is so vulnerable to degeneration.🧵👇 www.nature.com/articles/s41...
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Manjari Anant @mmganant.bsky.social · 22/09/2026
Really excited to share this work with the community! Big thanks to @justuskebschull.bsky.social and @jef.works, as well as our lab members and collaborators, for their support and fun discussions throughout this project!
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Justus Kebschull @justuskebschull.bsky.social · 21/09/2026
NEW PREPRINT! An evo-devo look at how new cerebellar nuclei are made. Spoiler: it’s all driven by region-specific excitatory progenitors in the early rhombic lip; inhibitory neurons fill in later. If you care about brain evolution or cerebellar development, check it out: tinyurl.com/CNdevelopment
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Kaessmann Lab @kaessmannlab.bsky.social · 31/08/2026
We’re hiring! Experimental #Postdoc and computational and/or experimental #PhD positions in evolutionary genomics are available in our lab in Heidelberg: home.kaessmannlab.org/openPositions Please repost and spread the word!
home.kaessmannlab.org
Kaessmann Lab
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Tasuku ISHIDA @tasuku-ishida.bsky.social · 30/07/2026
Happy to share our new preprint on the evolution of the neural plate border 🥳
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Kaessmann Lab @kaessmannlab.bsky.social · 13/08/2026
Please check out this exciting work - such a wonderful collaboration!!
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Adam Phillippy @aphillippy.bsky.social · 06/08/2026
For the past 30 years, “whole-genome sequencing” has been a misnomer. Today the T2T Consortium publishes a dozen papers heralding a future of truly complete genomes for humans and nearly any vertebrate 👨‍🔬🐒🐦🐀🦒🐎🫏🐹🐟 (sorry, no salamanders): www.cell.com/consortium/t... 🧵[1/15]
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Ioannis Sarropoulos @ioansarr.bsky.social · 06/08/2026
Our study of TE regulatory co-option in the primate cerebellum is now officially out! Proud to have co-supervised the stellar @tyamadat.bsky.social on this project, which builds on our earlier sequence-to-function AI models of the mammalian cerebellum: www.science.org/doi/10.1126/...
science.org
The evolution of gene regulation in mammalian cerebellum development
Gene regulatory changes are considered major drivers of evolutionary innovations, including the cerebellum’s expansion during human evolution, yet they remain largely unexplored. In this study, we com...
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Franck Polleux @franckp.bsky.social · 05/08/2026
I am exciting to highlight our new study published today in @cp-neuron.bsky.social. This work represents over 6 years of effort by an incredibly talented postdoc, Carlos Diaz-Salazar, in collaboration with @krzischlab.bsky.social, @bhadurilab.bsky.social at UCLA and Mercedes Paredes lab at UCSF 👇 🧵
cell.com
Human-specific SRGAP2 paralogs synchronize neotenic microglial maturation and synaptic development
Using a combination of microglia-specific conditional mouse knockout and knockin approaches and xenotransplantation of human iPSC-derived microglia, Diaz-Salazar et al. demonstrate that the human-spec...
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Mari Sepp @marisepp.bsky.social · 30/07/2026
Co-option of certain transposable elements as regulatory elements in specific cerebellar cell states, e.g. HERVL in rhombic lip–derived neuroblasts. Led by awesome Tetsuya @tyamadat.bsky.social, together with @ioansarr.bsky.social and @kaessmannlab.bsky.social
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Tetsuya Yamada @tyamadat.bsky.social · 30/07/2026
Our manuscript on the co-option of TEs as cerebellar CREs is now officially published in @natcomms.nature.com! Huge thanks to @kaessmannlab.bsky.social @marisepp.bsky.social, and @ioansarr.bsky.social for the fantastic collaboration throughout this project! www.nature.com/articles/s41...
nature.com
Gene regulatory innovations from transposable elements in primate cerebellum development - Nature Communications
The roles of transposable elements in primate brain development remain underexplored. Here, the authors identify transposable elements with ancestral regulatory potential that have been co-opted as ci...
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Hannah Dickmänken @hannahdckmnkn.bsky.social · 29/01/2026
Paper alert! 💻 How many cells do you need to train reliable deep learning models in regulatory genomics? We asked how data quality, sequencing depth, and dataset size affect training of sequence-to-function models from scATAC-seq. Out now www.nature.com/articles/s41... (details below)
nature.com
Evaluating single-cell ATAC-seq atlasing technologies using sequence-to-function modeling - Nature Communications
Generating high-quality training data for machine learning is costly. Here, authors include sequence-to-function modeling in benchmarking of custom and commercial droplet-based scATAC platforms, and r...
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Ekin Deniz Aksu @ekindea.bsky.social · 15/07/2026
I'm excited to share that Corgi is out in @natcomms.nature.com! We refine context-aware sequence-to-function models by using FiLM to condition the model on trans-regulator expression levels. This way Corgi can generalize to unseen cell types. www.nature.com/articles/s41... 🧵Thread 1/n
nature.com
Context-aware sequence-to-function model of human gene regulation - Nature Communications
This study introduces Corgi and Corgi+ , biology-inspired deep neural network models of regulatory DNA sequences that can generalize to unseen cell types. They accurately impute epigenomic d...
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Igor Adameyko @adameykolab.bsky.social · 02/07/2026
Dear Friends, I just published an insightful review on neural crest evolutionary origin and later transformations. “Co-option and innovation in neural crest evolution”: www.science.org/doi/10.1126/...
science.org
Co-option and innovation in neural crest evolution
Neural crest evolution reassembled ancient programs in pigment cell lineage, resulting in vertebrate innovations.
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Maria Antonietta Tosches @matosches.bsky.social · 29/06/2026
Better late than never... an update on the recent work from the lab. First of all, the Foundation: @astridd93.bsky.social phenomenal paper on the evolution of layering in the cerebral cortex 🧵1/7 www.biorxiv.org/content/10.1...
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Mike Dorrity @mwdorr.bsky.social · 19/06/2026
First pre-print from the lab, a collaborative effort led by Jess Bourn @bournsupremacy.bsky.social, a fantastic PhD in my group. We resolve a key problem in development + evolution: how do we quantify heterochrony and link temporal variation to phenotype? www.biorxiv.org/content/10.6...
biorxiv.org
Quantitative mapping of heterochrony to species-specific phenotypes
The genetic program of animal development is conserved, but its rate of execution varies across species. Heterochrony, shifts in the relative timing of developmental events, generates phenotypic varia...
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Laurie Belcher @lauriebelch.bsky.social · 09/06/2026
The new OrthoFinder paper is out now! In this new work, we introduce major advances in accuracy and scalability, allowing analysis on much larger datasets www.nature.com/articles/s41... github.com/OrthoFinder/...
nature.com
OrthoFinder: improved phylogenetic orthology inference with enhanced accuracy and scalability - Nature Methods
The updated OrthoFinder v3 software boosts accuracy and scalability in phylogenetic orthology inference with massive and diverse datasets.
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Joana L. Rocha @joanocha.bsky.social · 08/06/2026
We are excited to share our pan-pangenome paper! This is a long time coming work of my postdoc with the incredible @psudmant.bsky.social, and a stellar group of people! I hope you enjoy reading it! And I am excited to talk more more about it this week at #PEQG26!! www.biorxiv.org/content/10.6...
biorxiv.org
A Pan-pangenome illuminates complex structural variation and selection in humans, chimpanzees, and bonobos
Complete, haplotype-resolved genome assemblies have provided unprecedented insight into the evolution of structurally complex, rapidly evolving regions of human genomes; however, population-scale pang...
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Justus Kebschull @justuskebschull.bsky.social · 17/05/2026
New from the lab: BARseq3! Barcodes + high efficiency spatial transcriptomics and translatomics in the same cells, or just a nice spatial transcriptomics assay. All in a modular, expandable system to enable truly multimodal measurements. Check it out: www.biorxiv.org/content/10.6...
biorxiv.org
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Martina Capriati @martinacapriati.bsky.social · 07/05/2026
Exciting news 📣 The first preprint from @grandlab.bsky.social is out 🧬 How are essential genes controlled? By rapid degradation and recovery of TFs alone or in combination, we show that essential genes rely on a single dominant TF, despite dense co-binding. www.biorxiv.org/content/10.6...
biorxiv.org
Essential genes are dominantly activated by single transcription factors
Cell viability depends on the precise expression of essential genes, which are controlled by CpG-island (CGI) promoters densely bound by transcription factors (TFs). This has led to the prevailing model that TFs cooperate to ensure ubiquitous expression. Here, using rapid and reversible single and combinatorial degradation in murine stem cells, we systematically dissect the regulatory interactions between five key TFs. We uncover an unexpectedly specific architecture in which regulatory dominance, rather than cooperation, is the prevailing mode, where individual TFs autonomously drive chromatin opening and gene activation at largely distinct promoters. Cooperative regulation occurs at a minority of sites with antagonistic or synergistic outcomes modulated by the interplay between nucleosome positioning and TF sensitivity to chromatin. This logic is recapitulated at synthetic sequences and reflected in human genetic variation. These findings reveal that single TFs dominantly activate distinct sets of CGI-linked genes, including essential genes, across development, homeostasis, and disease. ### Competing Interest Statement The authors have declared no competing interest. DFG, GR 6341/2-1, 556634773
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Schubeler Lab @schubelerlab.bsky.social · 07/05/2026
Excited to share our new study on CpG islands (CGIs) regulation by transcription factors (TFs)! CGIs drive most transcription initiation with unclear regulation. We find that chromatin-opening TFs are key players—following a surprisingly simple rule. 🧵 www.biorxiv.org/content/10.6... 1/9
biorxiv.org
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Manuel Irimia @mirimiam.bsky.social · 20/04/2026
Thrilled to present our comparative study on the evolution of zygotic genome activation (ZGA)!! 🥚🧬 Amazing PhD work of @campobes.bsky.social together with @fedemantica.bsky.social and many collaborators! @melisupf.bsky.social @crg.eu. Thread below 1/15 www.biorxiv.org/content/10.6...
biorxiv.org
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bioRxiv Evolutionary Biology @biorxiv-evobio.bsky.social · 17/04/2026
Evolutionary landscapes of zygotic genome activation across animals www.biorxiv.org/content/10.64898/20…
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Denis Wirtz @deniswirtz.bsky.social · 14/04/2026
Whole organism 3D mapping reveals universal branching topology and biophysical optimization governs vascular and nervous system development Read about our work here: www.biorxiv.org/content/10.6...
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Kyogo Kawaguchi @kyogok.bsky.social · 13/04/2026
New manuscript with Rory Cerbus and Ichiro Hiratani. We analyzed 3D genome data from 247 species to investigate the determinants of the so-called large-scale structure known as compartments. www.biorxiv.org/content/10.6...
biorxiv.org
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cxqiu.bsky.social @cxqiu.bsky.social · 09/04/2026
New preprint @cxqiu.bsky.social @jshendure.bsky.social ! Can we learn regulatory grammars of human cell types — by training on mouse development and transferring across 241 mammalian genomes? Introducing STEAM & a whole-organism scATAC-seq atlas from E10 to birth. www.biorxiv.org/content/10.6...
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bioRxiv Genomics @biorxiv-genomic.bsky.social · 09/04/2026
Evolutionary transfer learning enables organism-wide inference of mammalian enhancer landscapes www.biorxiv.org/content/10.64898/20…
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Miki Ebisuya @ebisuyamiki.bsky.social · 01/04/2026
New preprint from the lab! How do tissue shapes influence cell fate decisions? By manipulating brain organoid geometry, we show that lumen rounding directs apical progenitor division mode and promotes the emergence of basal progenitors. www.biorxiv.org/content/10.6... 1/
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Huisheng (Julie) Zhu @huishengzhu.bsky.social · 30/03/2026
Why do schizophrenia GWAS signals look so flat across the genome? In our recent preprint, we explored why psychiatric disorders — and, more broadly, brain-related traits involving the central nervous system — appear to have unusual genetic architectures. 🧵1/n
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Lena Kutscher @lenakutscher.bsky.social · 30/03/2026
New preprint alert! I'm excited to share our latest preprint where we investigate the underlying developmental causes of the male bias in the pediatric brain tumor Group 3/4 medulloblastoma. www.biorxiv.org/content/10.6...
graphical abstract for "Developmental determinants of male bias in medulloblastoma" preprint. We propose that boys are more likely to develop Group 3/4 medulloblastoma more vulnerable cells-of-origin are available for transformation. Specifically, GC_UBC progenitors in the developing cerebellum are more abundant in male murine embryos, as a result of testosterone exposure and the XY genotype.
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Prajna Hebbar @prajnahebbar.bsky.social · 28/03/2026
We built the first complete genome for the common marmoset, fully resolving regions that were previously missing: centromeres, acrocentric short arms, and more. A new reference genome for anyone working with marmosets. This was an awesome collaborative effort & I’m grateful to all my co-authors! 🧬
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Li Zhao @lizhao.bsky.social · 24/03/2026
We wrote a review on using machine learning to study evolutionary genetics and molecular evolution in Trends in Genetics. It is open access—please take a look if you are interested in this topic www.sciencedirect.com/science/arti... @cp-trendsgenetics.bsky.social
sciencedirect.com
Machine learning for evolutionary genetics and molecular evolution
Over the past decade, the rapid expansion of large-scale data and advances in computational power have allowed machine learning (ML), especially deep …
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bioRxiv Genomics @biorxiv-genomic.bsky.social · 19/03/2026
Modeling cis-regulatory variation in human brain enhancers across a large Parkinson's Disease cohort www.biorxiv.org/content/10.64898/20…
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Michela Palamin @mpalamin.bsky.social · 24/03/2026
ChromSMF preprint is out!🚀 tinyurl.com/ChromSMF We often piece together chromatin regulation layer by layer from separate assays. But this can be limiting! In @arnaudkr.bsky.social's lab, we developed a method to directly study multiple layers on the same DNA molecule! 🧬 What does this unlock? ⬇️
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Sambina Islam Aninta @sambean12.bsky.social · 18/03/2026
MPRAs are the gold-standard tool for measuring how DNA sequences drive gene expression and prioritizing variant effects. In this preprint we asked: does it matter WHERE you place a variant in an MPRA? Spoiler: yes, and it might lead you to miss disease-causing variants. 1/6 doi.org/10.64898/202...
biorxiv.org
Position-dependent variant effects reveal importance of context in genomic regulation
Gene expression is governed by the DNA sequence, which is read out through complex interactions between transcription factors (TFs), co-activators, and chromatin. Massively Parallel Reporter Assays (MPRAs) provide a high-throughput framework for functionally characterizing how regulatory DNA sequences impact the expression of a model gene. MPRAs have also proven to be useful for measuring the effects of genetic variation, where each allele is typically tested in the center of ~200 bp of genomic context cloned into the MPRA, but the impact of variant position and local context remains largely unexplored. In this study, we systematically investigate how shifting the position of a variant within an MPRA probe influences its regulatory activity using models that predict expression in MPRAs from DNA sequence. We find that while the direction of variant effects is usually preserved across positions, the magnitude of expression changes can vary substantially depending on where the variant is placed within the construct. This positional bias appears to be largely explained by the strong position-dependent activity of TFs whose binding the variants perturb. In a subset of cases, interactions consistent with cooperativity between TFs also contribute to position-specific effects. ~1% of variants appear to disrupt RNA polymerase III (Pol III) promoters within Alu elements, resulting in position-specificity because both A and B boxes are required for function and exclusion of either motif due to window shifts disrupts the variants' effects. However, we saw little evidence to support the hypothesis that the positional dependence of variant effects resulted from the redundancy of motifs. Overall, our study demonstrates the complexity of cis-regulatory grammar and how it can confound the interpretation of regulatory variants. ### Competing Interest Statement R.T. has filed intellectual property related to MPRA and MPRA models. The other authors declare no competing interests.
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Suel-Kee Kim @suelkeekim.bsky.social · 12/03/2026
Excited to share that our work is now published in Cell: Human-specific features of the cerebellum and ZP2-regulated synapse development. www.cell.com/cell/fulltex... Many thanks to the Sestan lab members @yaleneuro.bsky.social and all collaborators who made this work possible.
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Dario Tommasini @dariotommasini.bsky.social · 10/03/2026
Inhibitory neurons are among the most transcriptomically diverse class of neurons in the CNS, with some brain regions having 60+ distinct cell types. Do humans share the same repertoire as rodents? Birds? Fish? 1/13
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James Briscoe @jamesbriscoe.bsky.social · 09/03/2026
New Perspective form Rory Maizels & me: "Gene regulatory networks: from correlative models to causal explanations" Gene regulatory networks are supposed to give us mechanistic explanations of development, so why are we drowning in 'hairballs' of statistical correlations? rdcu.be/e7zx7
rdcu.be
Gene regulatory networks: from correlative models to causal explanations
Nature Reviews Genetics - In this Perspective, Maizels and Briscoe discuss the limitations of current models of gene regulatory networks and outline solutions to harness data abundance without...
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Teif lab @teiflab.bsky.social · 05/03/2026
Nucleosome aficionados! Our new review "Nucleosome spacing across cell types, diseases, and ages" is out in NAR: academic.oup.com/nar/article/... A huge effort to pull together what we’ve learned about nucleosome spacing in many systems. Enjoy! @milena-bikova.bsky.social @chrsclrksn.bsky.social
Figure 1.(A) Classical gel electrophoresis experiments showing mono-, di-, tri-, tetra-, and further multinucleosome bands upon chromatin digestion. (B) The nucleosome repeat length (NRL) is defined as the genomic distance between the centres of two neighbouring nucleosomes.Figure 2.Nucleosome mapping using MNase-seq versus ATAC-seq. (A) In MNase-seq, nucleosomes in both open and tightly packed genomic regions are accessible to digestion. MNase preferentially cleaves DNA between nucleosomes and digests DNA until it encounters a histone octamer, which provides a footprint of nucleosome-protected DNA regions. (B) Bulk MNase-seq results in averaged maps across millions of cells, effectively capturing all possible nucleosome positioning configurations. (C) Single-cell MNase-seq (scMNase-seq) results in a noisier and sparser signal. The resulting footprints still represent nucleosome-protected regions, but not all nucleosomes are represented. (D) In ATAC-seq, open regions can be accessed by the enzyme Tn5 transposase, which can insert primers in regions free from the binding of nucleosomes and transcription factors (TFs). (E) For open chromatin regions, nucleosome maps can be obtained from ATAC-seq similar to MNase-seq. (F) Closed, tightly packed chromatin regions may be less represented in ATAC-seq nucleosome maps.
Figure 5.Molecular mechanisms affecting nucleosome spacing. (A) Linker histones H1 and nonhistone chromatin proteins which compete with H1s and modulate nucleosome spacing through structural and electrostatic mechanisms. (B) Chromatin remodellers actively reposition nucleosomes following context-dependent rules. (C) Cell state-dependent chromatin boundaries formed by CTCF and other structural proteins, as well as associated recruitment of chromatin remodellers which space nucleosomes. (D) Gene activity associated with remodeller action and RNA polymerases transcribing through the nucleosomes, leading to smaller distances between nucleosomes in regulatory regions and gene bodies. (E) DNA sequence repeats of different types.Figure 6. Examples of NRL changes in biological systems. (A) Cell differentiation leads to NRL changes between different cell types, e.g. mouse dorsal root ganglia neurons (NRL ∼165 bp) versus cortical astrocytes (NRL ∼183 bp) [175]. Schematic cell shapes are adapted from an image created in BioRender (https://BioRender.com/89trj2t). (B) Paired normal versus tumour breast tissues show NRL shortening in cancer (figure adapted from [36] under the CC BY 4.0 licence (https://creativecommons.org/licenses/by/4.0/)). (C) Nucleosome positioning derived from cfDNA of human volunteers shows NRL increase with age (figure reprinted from [79] under the CC BY 4.0 licence (https://creativecommons.org/licenses/by/4.0/)).
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michael-imbeault.bsky.social @michael-imbeault.bsky.social · 02/03/2026
Find our latest Perspective article in Nature Genetics on "The role of KRAB zinc-finger proteins in expanding the domestication potential of transposable elements" at www.nature.com/articles/s41..., with implications for the future of research on the cause of human disease.
nature.com
The role of KRAB zinc-finger proteins in expanding the domestication potential of transposable elements - Nature Genetics
This Perspective explores the co-evolution of transposable elements and KRAB zinc-finger proteins in relation to their integration into human gene regulatory networks, highlighting their potential eff...
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Michael Hiller @hillermich.bsky.social · 28/02/2026
Happy to share that our work with Ekaterina Osipova, @maggiemcko.bsky.social, Tim Sackton, Maude Baldwin & fantastic collaborators on convergent and lineage-specific genomic adaptations in sugar-feeding birds is published in Science www.science.org/doi/10.1126/.... While high sugar intake ...
science.org
Convergent and lineage-specific genomic changes shape adaptations in sugar-consuming birds
High-sugar diets cause human metabolic diseases, yet several bird lineages convergently adapted to feeding on sugar-rich nectar or fruits. We investigated the underlying molecular mechanisms in hummin...
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Tugce Aktas @aktast.bsky.social · 25/02/2026
Our most recent work on the “function and evolution” of #nuclear-speckles is now online at Cell @cp-cell.bsky.social doi.org/10.1016/j.ce... Read the thread👇 for the highlights of our findings.
doi.org
Redirecting
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Margarida Cardoso Moreira @margaridamcm.bsky.social · 25/02/2026
Our internal organs are evolutionary marvels. New technologies are transforming our understanding of the evolution of vertebrate organs. You can find more by reading here: rdcu.be/e5EgU #EvoBio #EvoDevo 🐟🦎🐢🦇🐊🦜
rdcu.be
The molecular evolution of vertebrate organs
Nature Ecology & Evolution - This Review discusses recent advances in the molecular evolution of vertebrate organs, including rates of evolution of organs and cell types, molecular mechanisms...
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Luisa F. Pallares @luisapallares.bsky.social · 23/02/2026
Have you ever wondered 🤔... Does phenotypic variance respond to environmental perturbation? Does it have a genetic basis? Are mean and variance regulating loci exposed to different selection pressures? These and more questions are explored in our new preprint 🔥 www.biorxiv.org/content/10.6...
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Michael Bok @mikebok.bsky.social · 24/02/2026
From our new paper out now in @currentbiology.bsky.social: www.cell.com/current-biol... w/ @neurofishh.bsky.social @gkafetzis.bsky.social @denilsson.bsky.social Looking across animals, the vertebrate eye is an obvious outlier. Why is it so different that other highly visual animals?
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Tetsuya Yamada @tyamadat.bsky.social · 12/02/2026
Interested in the evo-devo of the mammalian cerebellum? This review is a must-read! Really happy to have contributed to this work, led by @marisepp.bsky.social , together with @ioansarr.bsky.social .
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Lena Kutscher @lenakutscher.bsky.social · 10/02/2026
Excited to share our preprint on our new multi-omic atlas of human hindbrain development. Led by postdoc Piyush Joshi, in collaboration with @kaessmannlab.bsky.social and Pfister labs, our atlas represents the first comprehensive view of human hindbrain development. www.biorxiv.org/content/10.6...
Brain with puzzle overlay to show that our study provides missing pieces of the puzzle of human brain development by delivering the most comprehensive picture of hindbrain development to date. We have strived to go beyond just another multi-omics atlas to gain deep insights by:
1. Meticulously annotating cell clusters
2. Extracting regulatory programs in terms of coordinated gene sets and accessible regulatory elements
3. Using deep learning to identify regulatory syntax
4. Resolving context-specific TF activity
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Alexander Sasse @lxsasse.bsky.social · 09/02/2026
Exciting Postdoc Opportunities – Alliance Interinstitutional Program **Deadline:** March 31, 2026 (5:00 pm CEST) 🔗 Two shared positions: www.syn-gen.de/alliance-pos... 🔗 Full call & application info:: www.health-life-sciences.de/opportunitie...
health-life-sciences.de
HEALTH + LIFE SCIENCE ALLIANCE | Interinstitutional Postdocs
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Patrick Bryant @patrickbryant1.bsky.social · 07/02/2026
Introducing The Structural History of Eukarya (SHE): The first proteome-scale phylogeny constructed entirely from 3D structure. We computed 300 trillion alignments across 1,542 species to map the tree of life. 🧵👇 (1/5)
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Zeitlinger Lab @zeitlingerlab.bsky.social · 05/02/2026
The new updates for Charles McAnany’s preprint “Positional Interpretation of Cis-Regulatory Code and Nucleosome Organization with Deep Learning Models” (www.biorxiv.org/content/10.1...) are up! We introduce PISA, a tool to visualize the cis-regulatory code. See a recap below:
biorxiv.org
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