Biology subjects

Elledge, S.

Publications and source records attributed to Elledge, S..

9 recordsLinked to original sources

bioRxiv2025

Correction: Replication of BRIT1/MCPH1 G2/M Checkpoint Function Confirms Original Conclusions

In our 2005 PNAS publication1, we reported that BRIT1/MCPH1 is required for proper activation of the G2/M checkpoint in response to DNA damage. A recent analysis using image comparison software, Proofig, identified a duplicated panel in Figure 2A, stemming from a figure assembly error in which data from a prior experiment involving a different gene (Claspin)2 were inadvertently reused. As the original data are no longer accessible due to the age of the experiment, we have independently repeated the G2/M checkpoint analysis. The new results fully confirm the original conclusion: BRIT1 depletion compromises G2/M arrest following ionizing radiation. This replication supports the integrity of our original findings and is provided in support of a formal correction requested by PNAS.

cell biology↗

bioRxiv2025

An RNA Splicing System that Excises Transposons from Animal mRNAs

All genomes harbor mobile genetic parasites called transposable elements (TEs). Here we describe a system, which we term SOS splicing, that protects C. elegans and human genes from DNA transposon-mediated disruption by excising these TEs from host mRNAs. SOS splicing, which operates independently of the spliceosome, is a pattern recognition system triggered by base-pairing of inverted terminal repeat elements, which are a defining feature of the DNA transposons. We identify three factors required for SOS splicing in both C. elegans and human cells; AKAP17A, which binds TE-containing mRNAs; the RNA ligase RTCB; and CAAP1, which bridges RTCB and AKAP17A, allowing RTCB to ligate mRNA fragments generated by TE excision. We propose that SOS splicing is a novel, conserved, and RNA structure-directed mode of mRNA splicing and that one function of SOS splicing is to genetically buffer animals from the deleterious effects of TE-mediated gene perturbation.

genetics↗

bioRxiv2024

Harnessing GPT-4 for Automated Curation of E3-Substrate Relationships in the Ubiquitin-Proteasome System

The ubiquitin-proteasome system (UPS) is a complex regulatory network involving around 600 E3 ligases that collectively govern the stability of the human proteome by targeting thousands of proteins for degradation. Understanding this network requires integrating vast amounts of information on gene and protein interactions scattered across unstructured literature. Historically, manual curation has been the gold standard for transforming such data into structured databases, but this process is time-consuming, prone to error, and unable to keep up with the rapid growth of scientific publications. To address these limitations, we developed a scalable, cost-effective workflow using GPT-4, a large language model (LLM), to automate the curation of degradative E3-substrate relationships from the literature. By mining approximately two million PubMed papers, we identified 7,829 degradation-related abstracts and curated a structured database of 3,294 unique E3-substrate pairs using GPT-4, achieving an annotation accuracy rate approaching that of human experts. The resulting database of E3-substrate pairs offers valuable insights into the ubiquitin-proteasome system by highlighting understudied E3s and previously unknown UPS substrates in proteome-wide stability experiments. This automated approach represents substantial increase in productivity compared to manual curation and stands as the largest effort to date utilizing LLMs for the automated curation of protein-protein regulatory relationships. We further showed that our approach is generalizable to other enzyme-substrate families, such as deubiquitinases, kinases, and phosphatases. Overall, our study demonstrates the potential of LLMs as a scalable technology for large-scale curation of signalling relationships, substituting and complementing manual curation to accelerate biological research.

cell biology↗

bioRxiv2024

Proteasomal control of anti-CRISPRs for the regulation of CRISPR/Cas9 activity using Cas9-ACROBAT

Small molecule-mediated proteasomal degradation of proteins is a powerful tool for synthetic regulation of biological activity. To control Cas9 activity in cells, we engineered an anti-CRISPR protein, AcrIIA4, fused to a degradation (dTAG) or small molecule assisted shutoff (SMASh) tag. Co-expression of the tagged AcrIIA4 along with Cas9 and riboswitch-regulated sgRNAs enables precise tunable control of CRISPR activity by small molecule addition.

cell biology↗

bioRxiv2023

Efficient encoding of large antigenic spaces by epitope prioritization with Dolphyn

We investigated a relatively underexplored component of the gut-immune axis by profiling the antibody response to gut phages using Phage Immunoprecipitation Sequencing (PhIP-Seq). To enhance this approach, we developed Dolphyn, a novel method that uses machine learning to select peptides from protein sets and compresses the proteome through epitope-stitching. Dolphyn improves the fraction of gut phage library peptides bound by antibodies from 10% to 31% in healthy individuals, while also reducing the number of synthesized peptides by 78%. In our study on gut phages, we discovered that the immune system develops antibodies to bacteria-infecting viruses in the human gut, particularly E.coli-infecting Myoviridae. Cost-effective PhIP-Seq libraries designed with Dolphyn enable the assessment of a wider range of proteins in a single experiment, thus facilitating the study of the gut-immune axis.

bioengineering↗

bioRxiv2021

Cell-surface tethered promiscuous biotinylators enable small-scale surface proteomics of human exosomes

Characterization of cell surface proteome differences between cancer and healthy cells is a valuable approach for the identification of novel diagnostic and therapeutic targets. However, selective sampling of surface proteins for proteomics requires large samples (>10e7 cells) and long labeling times. These limitations preclude analysis of material-limited biological samples or the capture of rapid surface proteomic changes. Here, we present two labeling approaches to tether exogenous peroxidases (APEX2 and HRP) directly to cells, enabling rapid, small-scale cell surface biotinylation without the need to engineer cells. We used a novel lipidated DNA-tethered APEX2 (DNA-APEX2), which upon addition to cells promoted cell agnostic membrane-proximal labeling. Alternatively, we employed horseradish peroxidase (HRP) fused to the glycan binding domain of wheat germ agglutinin (WGA-HRP). This approach yielded a rapid and commercially inexpensive means to directly label cells containing common N-Acetylglucosamine (GlcNAc) and sialic acid glycans on their surface. The facile WGA-HRP method permitted high surface coverage of cellular samples and enabled the first comparative surface proteome characterization of cells and cell-derived exosomes, leading to the robust quantification of 1,020 cell and exosome surface proteins. We identified a newly-recognized subset of exosome-enriched markers, as well as proteins that are uniquely upregulated on Myc oncogene-transformed prostate cancer exosomes. These two cell-tethered enzyme surface biotinylation approaches are highly advantageous for rapidly and directly labeling surface proteins across a range of material-limited sample types.

biochemistry↗

bioRxiv2020

Clonal expansion of personalized anti-tumor T cells from circulation using tumor organoid-immune co-cultures

Tumor-specific cytotoxic T cells are effective tools for cancer immunotherapy, but the ability to generate them continues to be a challenge. Furthermore, there are no compelling approaches to empirically identify tumor-targeting T cells and T cell receptors by exploiting the multitude of antigens on tumor cell surfaces. Here, we use patients peripheral blood and autologous tumor organoids to enrich tumor-specific cytotoxic T cells with patient-specific killing mechanisms and a tissue-resident memory phenotype. We further demonstrate that these organoid-primed T (opT) cells undergo several orders of magnitude of clonal expansion and express T cells receptors and check-point proteins unique to each patient. Importantly, transferring the TCRs to heterologous T cells was sufficient to confer tumor recognition in a patient-specific manner. Thus, we report a patient-specific and antigen-agnostic platform for expansion of tumor-targeting T cells and identification of cancer-targeting TCRs from the peripheral blood of pancreatic cancer patients that can be exploited for immunotherapy applications.

cancer biology↗

bioRxiv2020

Trimeric SARS-CoV-2 Spike interacts with dimeric ACE2 with limited intra-Spike avidity

A serious public health crisis is currently unfolding due to the SARS-CoV-2 pandemic. SARS-CoV-2 viral entry depends on an interaction between the receptor binding domain of the trimeric viral Spike protein (Spike-RBD) and the dimeric human angiotensin converting enzyme 2 (ACE2) receptor. While it is clear that strategies to block the Spike/ACE2 interaction are promising as anti-SARS-CoV-2 therapeutics, our current understanding is insufficient for the rational design of maximally effective therapeutic molecules. Here, we investigated the mechanism of Spike/ACE2 interaction by characterizing the binding affinity and kinetics of different multimeric forms of recombinant ACE2 and Spike-RBD domain. We also engineered ACE2 into a split Nanoluciferase-based reporter system to probe the conformational landscape of Spike-RBDs in the context of the Spike trimer. Interestingly, a dimeric form of ACE2, but not monomeric ACE2, binds with high affinity to Spike and blocks viral entry in pseudotyped virus and live SARS-CoV-2 virus neutralization assays. We show that dimeric ACE2 interacts with an RBD on Spike with limited intra-Spike avidity, which nonetheless contributes to the affinity of this interaction. Additionally, we demonstrate that a proportion of Spike can simultaneously interact with multiple ACE2 dimers, indicating that more than one RBD domain in a Spike trimer can adopt an ACE2-accessible "up" conformation. Our findings have significant implications on the design strategies of therapeutic molecules that block the Spike/ACE2 interaction. The constructs we describe are freely available to the research community as molecular tools to further our understanding of SARS-CoV-2 biology.

biochemistry↗

bioRxiv2017

Extending Chemical Perturbations Of The Ubiquitin Fitness Landscape In A Classroom Setting

Although the primary protein sequence of ubiquitin (Ub) is extremely stable over evolutionary time, it is highly tolerant to mutation during selection experiments performed in the laboratory. We have proposed that this discrepancy results from the difference between fitness under laboratory culture conditions and the selective pressures in changing environments over evolutionary time scales. Building on our previous work (Mavor et al 2016), we used deep mutational scanning to determine how twelve new chemicals (3-Amino-1,2,4-triazole, 5-fluorocytosine, Amphotericin B, CaCl2, Cerulenin, Cobalt Acetate, Menadione, Nickel Chloride, p-fluorophenylalanine, Rapamycin, Tamoxifen, and Tunicamycin) reveal novel mutational sensitivities of ubiquitin residues. We found sensitization of Lys63 in eight new conditions. In total, our experiments have uncovered a sensitizing condition for every position in Ub except Ser57 and Gln62. By determining the Ubiquitin fitness landscape under different chemical constraints, our work helps to resolve the inconsistencies between deep mutational scanning experiments and sequence conservation over evolutionary timescales.\n\nBuilds onMavor D, Barlow KA, Thompson S, Barad BA, Bonny AR, Cario CL, Gaskins G, Liu Z, Deming L, Axen SD, Caceres E, Chen W, Cuesta A, Gate R, Green EM, Hulce KR, Ji W, Kenner LR, Mensa B, Morinishi LS, Moss SM, Mravic M, Muir RK, Niekamp S, Nnadi CI, Palovcak E, Poss EM, Ross TD, Salcedo E, See S, Subramaniam M, Wong AW, Li J, Thorn KS, Conchuir SO, Roscoe BP, Chow ED, DeRisi JL, Kortemme T, Bolon DN, Fraser JS. Determination of Ubiquitin Fitness Landscapes Under Different Chemical Stresses in a Classroom Setting. eLife. 2016.\n\nImpact StatementWe organized a project-based course that used deep mutational scanning in multiple chemical conditions to resolve the inconsistencies between tolerance to mutations in laboratory conditions and sequence conservation over evolutionary timescales.

bioinformatics↗