Biology subjects

Adelmann, C. H.

Publications and source records attributed to Adelmann, C. H..

7 recordsLinked to original sources

bioRxiv2026

CRTC, not phosphorylated CREB1, drives cAMP-induced transcription across diverse cell types

Specialized cell types layer cell-type-restricted proteins, metabolites, and organelles onto a shared foundation of core cellular processes. How this ubiquitous machinery generates lineage-specific outputs is central to both cell biology and therapeutic development. G-protein-coupled receptors (GPCRs) respond to receptor-restricted ligands to drive cell-type-specific transcription through cAMP-mediated activation of protein kinase A (PKA), which activates the transcription factor CREB1 through two parallel modes: direct phosphorylation at serine 133, and inhibition of salt-inducible kinases (SIK) that restrain the CRTC coactivators. How these modes integrate and contribute to signaling across cell types has remained unresolved, obscured by genetic redundancy and essentiality. Here we combine focused genetic analyses with a cross-lineage transcriptomic survey to dissect these parallel inputs. In Creb1/Atf1/Crem triple-knockout cells, a non-phosphorylatable mutant CREB1S133A fully rescued endogenous target gene activation, while Crtc1/Crtc2/Crtc3 ablation abolished transcription even with intact CREB1 serine 133 phosphorylation. As part of this mechanism, we found the annotated repressor ICER can instead act as a positive regulator, substituting for full-length CREB1 paralogs to drive a feedforward loop. Across melanocytes, hepatocytes, osteocytes, macrophages, and neurons, SIK inhibition recapitulated cAMP-PKA-driven transcription across both shared and cell-type-specific gene expression programs, with neurons a notable exception. These results invert the canonical model, placing CRTC recruitment as the dominant driver of CREB1-mediated transcription across diverse lineages, reframing how cAMP-PKA signaling can be interpreted and therapeutically targeted.

cell biology↗

bioRxiv2026

SLC16A6 is a tyrosine transporter for the melanosome

Cells enable specialized metabolism by compartmentalizing metabolic pathways into distinct organelles, which requires the membrane transport of metabolites. In melanocytes, the amino acid tyrosine is imported into developing melanosomes for the synthesis of the UV-protective pigment melanin1,2. In spite of extensive biochemical characterization, the identity of the melanosomal tyrosine transporter remains unknown. Here, we identify SLC16A6 as an orphan melanosome-localized metabolite transporter. Genetic screens reveal that SLC16A6 expression is driven by the SOX10-MITF axis, the well-characterized master regulatory program governing melanogenesis and melanosomal homeostasis3,4. By redirecting SLC16A6 to the plasma membrane with an S240A mutation5, we demonstrate that SLC16A6 transports tyrosine, a process competitively inhibited by other bulky amino acids. We further determine that SLC16A6 is sufficient for in vitro melanosomal tyrosine uptake. Genetic depletion of SLC16A6 triggered loss of melanosome biogenesis and function as well as depletion of most melanosomal components. Collectively, these findings establish SLC16A6 as a melanosomal tyrosine transporter that is essential for melanosome biogenesis.

cell biology↗

bioRxiv2024

Lysosomal reduced thiols are essential for mouse embryonic development

While it has been appreciated for decades that lysosomes can import cysteine, its for organismal physiology is unclear. Recently, the MFSD12 transmembrane protein was shown to be necessary to import cysteine into lysosomes (and melanosomes), enabling the study of these processes using genetic tools. Here, we find that mice lacking Mfsd12 die between embryonic days 10.5-12.5, suggesting that MFSD12 is essential for organogenesis. Within lysosomes, it is well known that a significant fraction of the cysteine is converted into cystine (oxidized cysteine), which accumulates and can be released into the cytosol via the CTNS (cystinosin) transporter. However, in contrast to Mfsd12, loss of Ctns results in live animals, indicating that it is not an essential gene. This suggests that the essential function of MFSD12 is not to enable cystine storage for use in the cytosol but rather to supply reduced cysteine to the lysosomal lumen itself. Consistent with this idea, the treatment of breeding heterozygous mice with cysteamine, a lysosome-penetrant thiol, rescued the development of Mfsd12 knockout mice and resulted in live births. Our work implicates lysosomal thiol import as an essential metabolic pathway and provides tools for deciphering its complex genetic and metabolic interactions.

cell biology↗

bioRxiv2022

NRF2 activation induces NADH-reductive stress providing a metabolic vulnerability in lung cancer

Multiple cancers regulate oxidative stress by activating the transcription factor NRF2 through mutation of its negative regulator KEAP1. NRF2 has been studied extensively in KEAP1-mutant cancers, however the role of this pathway in cancers with wildtype KEAP1 remains poorly understood. To answer this question, we induced NRF2 via pharmacological inactivation of KEAP1 in a panel of 50+ non-small lung cancer cell lines. Unexpectedly, marked decreases in viability were observed in >13% of the cell lines--an effect that was completely rescued by NRF2 ablation. Genome-wide and targeted CRISPR screens revealed that NRF2 induces NADH-reductive stress, through the upregulation of the NAD+-consuming enzyme ALDH3A1. Leveraging these findings, we show that cells treated with KEAP1 inhibitors or those with endogenous KEAP1 mutations are selectively vulnerable to Complex I inhibition, which impairs NADH oxidation capacity and potentiates reductive stress. Thus, we identify reductive stress as a metabolic vulnerability in NRF2-activated lung cancers.

molecular biology↗

bioRxiv2021

Massively parallel pooled screening reveals genomic determinants of nanoparticle-cell interactions

To accelerate the translation of cancer nanomedicine, we hypothesize that integrated genomic screens will improve understanding of the cellular processes governing nanoparticle trafficking. We developed a massively parallel high-throughput screening method leveraging barcoded, pooled cancer cell lines annotated with multi-omic data to investigate cell association patterns across a nanoparticle library spanning a range of formulations with clinical potential. This approach identified both the materials properties and cell-intrinsic features mediating nanoparticle-cell association. Coupling the data with machine learning algorithms, we constructed genomic nanoparticle trafficking networks and identified nanoparticle-specific biomarkers, including gene expression of SLC46A3. We engineered cell lines to validate SLC46A3 as a biomarker whose expression inversely predicts liposomal nanoparticle uptake both in vitro and in vivo. We further demonstrated the predictive capabilities extend beyond liposomal nanoparticles, regulating both uptake and transfection efficacy of solid lipid nanoparticles. Our work establishes the power of massively parallel pooled cell screens for nanoparticle delivery and enables the identification and utilization of biomarkers to rationally design nanoformulations for specific patient populations.

bioengineering↗

bioRxiv2020

Genome-wide CRISPR screens reveal multitiered mechanisms through which mTORC1 senses mitochondrial dysfunction

In mammalian cells, nutrients and growth factors signal through an array of upstream proteins to regulate the mTORC1 growth control pathway. Because the full complement of these proteins has not been systematically identified, we developed a FACS-based CRISPR-Cas9 genetic screening strategy to pinpoint genes that regulate mTORC1 activity. Along with almost all known positive components of the mTORC1 pathway, we identified many new genes that impact mTORC1 activity, including DCAF7, CSNK2B, SRSF2, IRS4, CCDC43, and HSD17B10. Using the genome-wide screening data, we generated a focused sublibrary containing single guide RNAs (sgRNAs) targeting hundreds of genes and carried out epistasis screens in cells lacking nutrient- and stress-responsive mTORC1 modulators, including GATOR1, AMPK, GCN2, and ATF4. From these data, we pinpointed mitochondrial function as a particularly important input into mTORC1 signaling. While it is well appreciated that mitochondria signal to mTORC1, the mechanisms are not completely clear. We find that the kinases AMPK and HRI signal, with varying kinetics, mitochondrial distress to mTORC1, and that HRI acts through the ATF4-dependent upregulation of both Sestrin2 and Redd1. Loss of both AMPK and HRI is sufficient to make mTORC1 largely resistant to mitochondrial dysfunction. Taken together, our data reveal a catalog of genes that impact the mTORC1 pathway and clarify the multifaceted ways in which mTORC1 senses mitochondrial dysfunction.

cell biology↗

bioRxiv2020

CRISPR screens in physiologic medium reveal conditionally essential genes in human cells

Forward genetic screens across hundreds of diverse cancer cell lines have started to define the genetic dependencies of proliferating human cells and how these vary by genotype and lineage. Most screens, however, have been carried out in culture media that poorly resemble metabolite availability in human blood. To explore how medium composition influences gene essentiality, we performed CRISPR-based screens of human cancer cell lines cultured in traditional versus human plasma-like medium (HPLM). Sets of medium-dependent fitness genes span several cellular processes and can vary with both natural cell-intrinsic diversity and the specific combination of basal and serum components that comprise typical culture media. Notably, we traced the causes for each of three conditional growth phenotypes to the availability of metabolites uniquely defined in HPLM versus traditional media. Our findings reveal the profound impact of medium composition on gene essentiality in human cells, and also suggest general strategies for using genetic screens in HPLM to uncover new cancer vulnerabilities and gene-nutrient interactions.

cancer biology↗