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RY
RB
KH
+2
Published: Aug 23, 2022
Cells can be highly motile, moving in and out of a microscope’s field of view. Understanding complex life cycles is difficult without continuous observation. To overcome this challenge, we’ve developed a 3D-printed microchamber device to confine cells for long-term visualization.
Connections
Supplements (7): 3D-printing files - NIH 3D Print Exchange • Code v1.1 - GitHub • Imaging data - C. steinii cyst rotation - Zenodo • Imaging data - C. steinii early encystment - Zenodo • Imaging data - C. steinii in a 384-well plate or microwells - Zenodo • Imaging data - C. steinii reanimation experiment - Zenodo • Imaging data - T. rostrata timelapse - Zenodo
RY
Published: Oct 14, 2022
Quantifying movement is a powerful window into cellular functions. However, cells can generate movement through a variety of complex mechanisms. Here, we generate a flexible framework for comparing an especially variable type of motility: cellular crawling.
Connections
Supplements (1): Code v1.1 - GitHub
RY
Published: Jun 15, 2023
Even with many tools available, categorizing species is tough. We used data from Raman spectroscopy, a form of label-free imaging, to infer phylogenetic patterns among several dozen diverse microbial taxa, offering a non-destructive and rapid way to dissect species relationships.
Connections
Supplements (1): Code v1.0 - GitHub
TE
+3
Published: May 03, 2023
Constraining motile microorganisms for live imaging often requires costly microfluidics or optical traps to keep them in view. We used patterned stamps and agar to make versatile, inexpensive “microchambers” and offer a way to predict the right chamber size for a given organism.
Connections
BB
TE
+7
Published: Jun 23, 2023
We’re crossing C. reinhardtii and C. smithii algae for high-throughput genotype-phenotype mapping. In preparation, we’re comparing the parents to uncover unique species-specific phenotypes.
SC
+4
Published: Sep 29, 2023
We want to find and use evolutionary innovations to solve present-day problems. We developed NovelTree, an efficient phylogenomic workflow that will empower us to decode the evolutionary traces of these innovations across the tree of life.
KP
+2
Published: Sep 29, 2023
We investigated protein structure predictions as an alternative to protein sequence homology for comparing single-cell RNA-seq data across species.
Connections
Supplements (2): Code v0.0.1 - GitHub • Related data - Zenodo
DM
RY
Published: Sep 22, 2023
It is commonly assumed that phenotypes arise from the cumulative effects of many independent genes. However, we show that by accounting for dependent and nonlinear biological relationships, we can generate models that predict phenotypes with great accuracy.
Connections
Supplements (2): Data - Zenodo • Code v1.0.1 - GitHub
DM
DM
TR
+1
Published: Sep 27, 2023
Genetic models of complex traits often rely on incorrect assumptions that drivers of trait variation are additive and independent. An information theoretic framework for analyzing trait variation can better capture phenomena like allelic dominance and gene-gene interaction.
BB
TR
DS
+1
Published: Feb 14, 2024
We've applied ProteinCartography, a tool for protein family exploration, to the well-studied actin family. We’re able to categorize actins and related proteins into distinguishable functional buckets, and we uncovered some surprising hypotheses that could prompt further study.
Connections
Supplements (2): Code v1.0 - GitHub • Data - Zenodo
BB
IK
DM
+5
Published: Mar 06, 2024
We outline a comparative approach to investigate protein function by correlating the presence or absence of a protein with species-level phenotypes. We applied this strategy to a novel actin isoform in fungi but didn’t find an association with any of the phenotypes we considered.
Connections
Supplements (2): Data - Zenodo • Code v1.0 - GitHub
RY
Published: Mar 05, 2024
We’re seeking feedback on NovelTree, our modular phylogenomic workflow. We’d appreciate your insights into how we can improve gene family inference, incorporate protein structure predictions, and expand to whole-genome data as input.
DM
TR
+1
Published: Apr 24, 2024
We’ve developed an easy-to-assemble apparatus and software for the automated collection of visible biological phenotypes such as growth, macroscopic morphology, motion, reflectance, and fluorescence.
BB
DS
+2
Published: May 31, 2024
We aim to validate ProteinCartography, a tool for structure-based protein clustering, by evaluating two foundational hypotheses: that proteins within a cluster have similar functions and proteins in different clusters have differing functions.
Connections
How can we biochemically validate protein function predictions with the deoxycytidine kinase family?
BB
DS
+2
Published: May 31, 2024
The human deoxycytidine kinase, a member of the nucleoside salvage pathway, has been studied extensively. We’ll use this family to assess our structure-based protein clustering tool, ProteinCartography. We’d love feedback on how we might work with this protein for validation.
Connections
Supplements (1): Data - Zenodo
BB
TE
+7
Published: May 31, 2024
To test its utility in analyzing biological samples, we built an open-source Raman spectrometer and collected spectra from chilis, beer, and algae. We could stratify samples, classify replicates, and link spectra with quantitative traits of beer (ABV) and chilis (perceived heat).
Connections
Supplements (1): Code and data - GitHub
BB
DS
+2
Published: May 31, 2024
We’re using the well-studied superfamily of small monomeric GTPases, the Ras GTPases, to evaluate our structure-based clustering tool, ProteinCartography. We’re seeking feedback on working with this protein family and determining which individual proteins to study.
Connections
Supplements (1): Data - Zenodo
BB
SC
RD
+5
Published: Aug 09, 2024
Inspired by wasps co-opting viral capsids to deliver genes to the caterpillars they parasitize, we looked for capsid-like proteins in other species. We found capsid homologs in ticks and other parasites, suggesting this phenomenon could be wider spread than previously known.
Connections
Replies (1): Code v1.0 - GitHub
Supplements (2): ProteinCartography run data - Zenodo • Data - Zenodo
RY
Published: Aug 01, 2024
Many protein prediction and design models rely on evolutionary comparisons. We show that popular databases are phylogenetically biased, influencing the statistical utility of the known protein universe in important ways.
Connections
Supplements (1): Code v1.0 - GitHub
