Biology subjects

Camacho, C. J.

Publications and source records attributed to Camacho, C. J..

9 recordsLinked to original sources

bioRxiv2025

Cell-type-agnostic differential gene expression uncovers conserved principles of cellular regulation

Cellular responses to perturbagens--including pharmacological compounds and genetic manipulations--remain incompletely characterized, as conventional approaches are constrained by cell-type-specific biases. Here, we derive consensus signatures (CS) that uncover conserved principles not of gene expression, but of fundamental cellular regulation. Quantified by aggregating differential gene expression responses across diverse cell types, time points, and doses, these CS retain the core features of individual experiments while preserving biological relevance. As proof of concept, genome-wide CS screening identified three knockdown-resistant genes--CCNA1, ORC1, and SOX2--that also engage in their reciprocal up-regulation. Expression of this network is modulated by the factor E2F2, revealing a mechanism by which proliferative signaling persists despite diverse genetic and chemical perturbations. Crucially, we identify that ORC1 down-regulation by specific CDK4/6 inhibitors singularly disrupts this feedback loop, providing a direct route to suppress E2F2-driven proliferation. More generally, we demonstrate for the first time that CS can accurately predict RNA-seq responses in novel cell lines, uncovering evolutionarily conserved mechanisms that regulate fundamental biological processes beyond context-specific variability.

systems biology↗

bioRxiv2024

Genetic and physical interactions reveal overlapping and distinct contributions to meiotic double-strand break formation in C. elegans

Double-strand breaks (DSBs) are the most deleterious lesions experienced by our genome. Yet, DSBs are intentionally induced during gamete formation to promote the exchange of genetic material between homologous chromosomes. While the conserved topoisomerase-like enzyme Spo11 catalyzes DSBs, additional regulatory proteins-- referred to as "Spo11 accessory factors"-- regulate the number, timing, and placement of DSBs during meiotic prophase ensuring that SPO11 does not wreak havoc on the genome. Despite the importance of the accessory factors, they are poorly conserved at the sequence level suggesting that these factors may adopt unique functions in different species. In this work, we present a detailed analysis of the genetic and physical interactions between the DSB factors in the nematode Caenorhabditis elegans providing new insights into conserved and novel functions of these proteins. This work shows that HIM-5 is the determinant of X-chromosome-specific crossovers and that its retention in the nucleus is dependent on DSB-1, the sole accessory factor that interacts with SPO-11. We further provide evidence that HIM-5 mediates interactions with the different accessory factors sub-groups, providing insights into how components on the DNA loops may interact with the chromosome axis.

developmental biology↗

bioRxiv2022

Omicron and Alpha P680H block SARS-CoV2 spike protein from accessing cholinergic inflammatory pathway via α9-nAChR mitigating the risk of MIS-C

Sequence homology between neurotoxins and the site encompassing the furin cleavage site 680SPRRAR685 in the spike protein (S) of CoV2 suggested that this site could interact with nicotinic acetylcholine receptors (nAChRs). Molecular dynamics simulations confirm robust structural similarity between wild-type (WT) CoV2 and the binding motif of -conotoxin to 9 nAChR, which is known to modulate IL-1{beta} in immune cells. We show that the structural integrity of this binding motif is eliminated by Alpha P681H mutation, reemerged in Delta variant P681R, and disappeared again with Omicron N679H/P681H. Interactions between the toxin-mimic CoV2 motif and 9-nAChR are expected to trigger the release of pro-inflammatory cytokines an effect that is mollified by Alpha and Omicron. Clinical features of this interaction site are relevant because, contrary to most regions in the S protein, the furin binding site does not appear to trigger an immune response prior to cleavage, indicating that the cholinergic pathway should be activated in the respiratory tract and nasal mucosa where 9-nAChR co-localizes with the virus. The correlation of changes on this motif by the different variants closely matches the reported cases of Multisystem Inflammatory Syndrome in Children by the CDC, and predicts significant mitigation of MIS-C with the Omicron variant. Our findings strongly motivate further study of this cholinergic pathway as one source of the cytokine storm triggered by CoV2.

biophysics↗

bioRxiv2021

Heterotypic Assembly Mechanism Regulates CHIP E3 Ligase Activity

The E3 ubiquitin ligases CHIP/CHN-1 and UFD-2 team up to accelerate ubiquitin chain formation. However, it remained largely unclear how the high processivity of this E3 set is achieved. Here we studied the molecular mechanism and function of the CHN-1/UFD-2 complex in Caenorhabditis elegans. Our data show that UFD-2 binding promotes the cooperation between CHN-1 and ubiquitin-conjugating E2 enzymes by stabilizing the CHN-1 U-box dimer. The HSP-1 chaperone outcompetes UFD-2 for CHN-1 binding and promotes the auto-inhibited CHN-1 state by acting on the conserved position of the U-box domain. The interaction with UFD-2 enables CHN-1 to efficiently ubiquitinate S-Adenosylhomocysteinase (AHCY-1), an enzyme crucial for lipid metabolism. Our results define the molecular mechanism underlying the synergistic cooperation of CHN-1 and UFD-2 in substrate ubiquitylation. HIGHLIGHTSO_LIE3 ligase UFD-2 stimulates ubiquitylation activity of CHIP/CHN-1 C_LIO_LIUFD-2 binding promotes dimerization of CHIP/CHN-1 U-box domains and utilization of E2 enzymes C_LIO_LIHSP70/HSP-1 by latching the U-box and TPR domains stabilizes the autoinhibitory state of CHIP/CHN-1, limiting interactions with E2s and UFD-2 C_LIO_LIAssembly with UFD-2 enables CHIP/CHN-1 to regulate lipid metabolism by ubiquitylation of S-Adenosylhomocysteinase C_LI

molecular biology↗

bioRxiv2020

A robust and versatile nanobody platform for drug delivery

Therapeutic and diagnostic efficacies of numerous small biomolecules and chemical compounds are hampered by the short half-lives. Here we report the development of a repertoire of diverse, high-affinity albumin-nanobodies (NbHSA) to facilitate drug delivery. By integrating biophysics, and hybrid structural biology, we have systematically characterized the NbHSA for albumin binding, mapped the epitopes, and resolved the architecture of a tetrameric Nb-albumin complex. We employed quantitative proteomics for accurate, multiplex Nb pharmacokinetic analysis. Using a humanized albumin mouse model, we found that the NbHSA has outstanding pharmacokinetics; the most stable NbHSA has a 771-fold T1/2 improvement compared with a control Nb. Interestingly, the pharmacokinetics of NbHSA is related to their biophysical and structural properties. To demonstrate the utility of NbHSA, we developed a highly stable NbHSA-hIL-2 cytokine conjugate "Duraleukin" and confirmed its improved anticancer properties than hIL-2 alone. We envision that this high-quality Nb resource will advance research into novel biotherapeutics.

bioengineering↗

bioRxiv2020

On the molecular mechanism of SARS-CoV-2 retention in the upper respiratory tract

Cell surface receptor engagement is a critical aspect of viral infection. At low pH, binding of SARS-CoV and its ACE2 receptor has a tight interaction that catalyzes the fusion of the spike and endosomal membranes followed by genome release. Largely overlooked has been the role of neutral pH in the respiratory tract, where we find that SARS-CoV stabilizes a transition state that enhances the off-rate from its receptor. An alternative pH-switch is found in CoV-2-like coronaviruses of tropical pangolins, but with a reversed phenotype where the tight interaction with ACE2 is at neutral pH. We show that a single point mutation in pangolin-CoV, unique to CoV-2, that deletes the last His residue in their receptor binding domain perpetuates this tight interaction independent of pH. This tight bond, not present in previous respiratory syndromes, implies that CoV-2 stays bound to the highly expressed ACE2 receptors in the nasal cavity about 100 times longer than CoV. This finding supports the unfamiliar pathology of CoV-2, observed virus retention in upper respiratory tract1, longer incubation times and extended periods of shedding. Implications to combat pandemics that, like SARS-CoV-2, export evolutionarily successful strains via higher transmission rates due to retention in nasal epithelium and their evolutionary origin are discussed.

biophysics↗

bioRxiv2020

Loss of pH switch unique to SARS-CoV2 supports unfamiliar virus pathology

Cell surface receptor engagement is a critical aspect of viral infection. This paper compares the dynamics of virus-receptor interactions for SARS-CoV (CoV1) and CoV2. At low (endosomal) pH, the binding free energy landscape of CoV1 and CoV2 interactions with the angiotensin-converting enzyme 2 (ACE2) receptor is almost the same. However, at neutral pH the landscape is different due to the loss of a pH-switch (His445Lys) in the receptor binding domain (RBD) of CoV2 relative to CoV1. Namely, CoV1 stabilizes a transition state above the bound state. In situations where small external strains are applied by, say, shear flow in the respiratory system, the off rate of the viral particle is enhanced. As a result, CoV1 virions are expected to detach from cell surfaces in time scales that are much faster than the time needed for other receptors to reach out and stabilize virus attachment. On the other hand, the loss of this pH-switch, which sequence alignments show is unique to CoV2, eliminates the transition state and allows the virus to stay bound to the ACE2 receptor for time scales compatible with the recruitment of additional ACE2 receptors diffusing in the cell membrane. This has important implications for viral infection and its pathology. CoV1 does not trigger high infectivity in the nasal area because it either rapidly drifts down the respiratory tract or is exhaled. By contrast, this novel mutation in CoV2 should not only retain the infection in the nasal cavity until ACE2-rich cells are sufficiently depleted, but also require fewer particles for infection. This mechanism explains observed longer incubation times, extended period of viral shedding, and higher rate of transmission. These considerations governing viral entry suggest that number of ACE2-rich cells in human nasal mucosa, which should be significantly smaller for children (and females relative to males), should also correlate with onset of viral load that could be a determinant of higher virus susceptibility. Critical implications for the development of new vaccines to combat current and future pandemics that, like SARS-CoV2, export evolutionarily successful strains via higher transmission rates by viral retention in nasal epithelium are also discussed.

biophysics↗

bioRxiv2019

De novo emergence of adaptive membrane proteins from thymine-rich intergenic sequences

Recent evidence demonstrates that novel protein-coding genes can arise de novo from intergenic loci. This evolutionary innovation is thought to be facilitated by the pervasive translation of intergenic transcripts, which exposes a reservoir of variable polypeptides to natural selection. Do intergenic translation events yield polypeptides with useful biochemical capacities? The answer to this question remains controversial. Here, we systematically characterized how de novo emerging coding sequences impact fitness. In budding yeast, overexpression of these sequences was enriched in beneficial effects, while their disruption was generally inconsequential. We found that beneficial emerging sequences have a strong tendency to encode putative transmembrane proteins, which appears to stem from a cryptic propensity for transmembrane signals throughout thymine-rich intergenic regions of the genome. These findings suggest that novel genes with useful biochemical capacities, such as transmembrane domains, tend to evolve de novo within intergenic loci that already harbored a blueprint for these capacities.

evolutionary biology↗

bioRxiv2018

Proteome-scale detection of drug-target interactions using correlations in transcriptomic perturbations

The development of an expanded chemical space for screening is an essential step in the challenge of identifying chemical probes for new, genomic-era protein targets. However, the difficulty of identifying targets for novel compounds leads to the prioritization of synthesis linked to known active scaffolds that bind familiar protein families, slowing the exploration of available chemical space. To change this paradigm, we validated a new pipeline capable of identifying compound-protein interactions even for compounds with no similarity to known drugs. Based on differential mRNA profiles from drug treatments and gene knockdowns across multiple cell types, we show that drugs cause gene regulatory network effects that correlate with those produced by silencing their target protein-coding gene. Applying supervised machine learning to exploit compound-knockdown signature correlations and enriching our predictions using an orthogonal structure-based screen, we achieved top-10/top-100 target prediction accuracies of 26%/41%, respectively, on a validation set 152 FDA-approved drugs and 3104 potential targets. We further predicted targets for 1680 compounds and validated a total of seven novel interactions with four difficult targets, including non-covalent modulators of HRAS and KRAS. We found that drug-target interactions manifest as gene expression correlations between drug treatment and both target gene knockdown and up/down-stream knockdowns. These correlations provide biologically relevant insight on the cell-level impact of disrupting protein interactions, highlighting the complex genetic phenotypes of drug treatments. Our pipeline can accelerate the identification and development of novel chemistries with potential to become drugs by screening for compound-target interactions in the full human interactome.

genomics↗