Tools for
assembling the cell:
Towards the era
of cell structural bioinformatics
Descriptions:
Cells, the fundamental building blocks of life, exhibit an intricate
multi-scale structure, from large components like organelles that recursively
factor into smaller and more specialized systems, such as condensates and
protein complexes. To systematically
interrogate these subcellular structures across a broad range of sizes and
provide insight into subcellular functions, a number of advanced technologies
are emerging. Notably, these include fluorescent confocal imaging,
cryo-electron tomography, and AI-guided folding algorithms, alongside
biochemical approaches such as affinity purification, co-elution, crosslinking
mass spectrometry, and their associated machine learning pipelines.
Recently, several groups have published
whole-cell mapping strategies based on multiple distinct complementary
technologies1–7. The timely and distinct opportunity that emerges
from all of this work is to assemble a key group of thought leaders in a
suitable location to discuss progress, open challenges, and, most importantly,
how collaborative teams can be established to marshall the various technologies
towards an integrated structural map of the human cell. The ability to efficiently map cell structure will
set the stage for future efforts to use these maps in pharmaceutical and
clinical applications and to comprehensively define the nature of human cells
across tissues, diseases, and times during development and aging. These maps
will also provide an important structural scaffold for synthetic biology
approaches to engineering complex cellular systems.
In this 3-hour workshop, we will
convene leaders in the fields of systems biology, structural biology, cell
modeling, and generative machine learning to discuss key aspects of map
assembly as well as proof-of-principle interdisciplinary projects ripe to be
tackled by the community.
Objectives of the workshop
●
Explore the current
progress made in understanding the hierarchical organizations of human
subcellular components
●
Learn about the
cutting-edge technologies that facilitate the modeling of hierarchical cell
structures
●
Discuss the promises,
pitfalls, and challenges of cell structural modeling, including bottom-up and
top-down approaches
●
Explore the
interdisciplinary projects and applications of cell mapping in pharmaceutical
and clinical settings
●
Foster potential
collaborations for driving forward cell structural biology projects for the
near future
Agenda
Organizer:
![](index.fld/image002.jpg)
Emma Lundberg, PhD
Stanford University
emmalu@stanford.edu
![idekerportrait](index.fld/image004.jpg)
Trey Ideker, PhD
UC San Diego
tideker@health.ucsd.edu
![](index.fld/image005.jpg)
Andrej Šali, PhD
UC San Francisco
sali@salilab.org
References
1. Qin, Y. et al. A multi-scale map of cell structure
fusing protein images and interactions. Nature 600, 536–542 (2021).
2. Hess, H. F., Lippincott-Schwartz, J.,
Saalfeld, S. & Weigel, A. V. Whole-cell organelle segmentation in volume
electron microscopy. Nature (2021).
3. Liu, F., Rijkers, D. T. S., Post, H.
& Heck, A. J. R. Proteome-wide profiling of protein assemblies by
cross-linking mass spectrometry. Nat. Methods 12, 1179–1184 (2015).
4. Luck, K. et al. A reference map of the human binary
protein interactome. Nature 580, 402–408 (2020).
5. Johnson, K. L. et al. Revealing protein-protein
interactions at the transcriptome scale by sequencing. Mol. Cell 81, 3877 (2021).
6. Salas, D., Stacey, R. G., Akinlaja,
M. & Foster, L. J. Next-generation Interactomics: Considerations for the
Use of Co-elution to Measure Protein Interaction Networks. Mol. Cell.
Proteomics 19, 1–10 (2020).
7. Viana, M. P. et al. Integrated intracellular
organization and its variations in human iPS cells. Nature 613, 345–354 (2023).