Below are a few references meant to provide more background and some of the approaches researchers are applying in the fields relevant to these Crunches. This is not meant to be an exhaustive list and many important works are not listed here.

Single cell transcriptomic adipocytes datasets

Dissecting the impact of transcription factor dose on cell reprogramming heterogeneity using scTF-seq
A single-cell atlas of human and mouse white adipose tissue
Human subcutaneous and visceral adipocyte atlases uncover classical and nonclassical adipocytes and depot-specific patterns
Adipose tissue retains an epigenetic memory of obesity after weight loss.
Unveiling adipose populations linked to metabolic health in obesity
Spatial mapping reveals human adipocyte subpopulations with distinct sensitivities to insulin
snRNA-seq reveals a subpopulation of adipocytes that regulates thermogenesis
Wnt signaling preserves progenitor cell multipotency during adipose tissue development
Adipogenic and SWAT cells separate from a common progenitor in human brown and white adipose depots
Single-Nucleus Analysis of Human White Adipose Tissue Reveals Adipocyte Subsets with Distinct Metabolic Profiles
Mapping the transcriptional landscape of human white and brown adipogenesis using single-nuclei RNA-seq

CRISPR/Cas9 genetic perturbation screens

Mapping information-rich genotype-phenotype landscapes with genome-scale Perturb-seq
Exploring genetic interaction manifolds constructed from rich single-cell phenotypes
X-Atlas/Orion: Genome-wide Perturb-seq Datasets via a Scalable Fix-Cryopreserve Platform for Training Dose-Dependent Biological Foundation Models

Modeling perturbations and causality

Reading these articles is not necessary to complete the challenge, but we believe these can be a helpful resource.