PROTAC (Proteolysis-Targeting Chimera), an emerging drug development strategy based on small molecule technology, has garnered widespread attention due to its high efficiency, broad applicability, low resistance, and dosage advantages. However, PROTAC molecules still exhibit certain limitations that require urgent resolution. Although significant progress has been made in designing PROTACs that target various disease-related proteins, research on drug delivery systems (DDS) for PROTACs remains relatively limited. This review aims to explore the critical role of delivery system design in addressing the inherent challenges associated with PROTAC molecules from a novel perspective. Beginning with five major challenges-insufficient targeting, poor pharmacokinetic properties, low cell permeability, limited accessibility, and the Hook effect-this article introduces formulation strategies to mitigate these deficiencies. It discusses potential solutions through targeted modifications, nano-delivery systems, intelligent response systems, and membrane biomimetic technologies, among others. Furthermore, it elucidates the mechanisms and principles underlying these approaches and analyzes the advantages of various delivery strategies. The insights provided in this review offer insights for designing delivery systems tailored to PROTACs with diverse characteristics for different disease applications.

Undruggable targets are those of therapeutical significance but challenging for conventional drug design approaches. Such targets often exhibit unique features, including highly dynamic structures, a lack of well-defined ligand-binding pockets, the presence of highly conserved active sites, and functional modulation by protein-protein interactions. Recent advances in computational simulations and artificial intelligence have revolutionized the drug design landscape, giving rise to innovative strategies for overcoming these obstacles. In this review, we highlight the latest progress in computational approaches for drug design against undruggable targets, present several successful case studies, and discuss remaining challenges and future directions. Special emphasis is placed on four primary target categories: intrinsically disordered proteins, protein allosteric regulation, protein-protein interactions, and protein degradation, along with discussion of emerging target types. We also examine how AI-driven methodologies have transformed the field, from applications in protein-ligand complex structure prediction and virtual screening to de novo ligand generation for undruggable targets. Integration of computational methods with experimental techniques is expected to bring further breakthroughs to overcome the hurdles of undruggable targets. As the field continues to evolve, these advancements hold great promise to expand the druggable space, offering new therapeutic opportunities for previously untreatable diseases.

Human RNase MRP is a ribonucleoprotein (RNP) enzyme that processes precursor rRNA (pre-rRNA) at ITS1 site 2 and may have additional activities. It is an endonuclease related to RNase P, which processes pre-tRNAs and pre-tRNA-like substrates. In Saccharomyces cerevisiae, these two RNPs utilize distinct catalytic RNAs with eight shared and one or two specific protein subunits. However, the human RNase MRP-specific protein subunits remain unidentified. Our genome-wide forward genetic screening identifies two poorly characterized human genes, which we name ribonuclease MRP subunit P24 (RMP24) and RMP64. We show that Rmp24 and Rmp64 are required for pre-rRNA ITS1 site 2 processing and associate with MRP RNA but are not required for RNase P activity and do not associate with RNase P-specific H1 RNA. Despite limited sequence homology, Rmp24 and Rmp64 exhibit predicted structural similarities to two RNase MRP-specific components in S. cerevisiae. Collectively, our functional screening and validation reveal two protein components unique to human nuclear RNase MRP.

The human solute carrier (SLC) superfamily of ~460 membrane transporters remains the largest understudied protein family despite its therapeutic potential. To advance SLC research, we developed a comprehensive knowledgebase that integrates systematic multi-omics data sets with selected curated information from public sources. We annotated SLC substrates through literature curation, compiled SLC disease associations using data mining techniques, and determined the subcellular localization of SLCs by combining annotations from public databases with an immunofluorescence imaging approach. This SLC-centric knowledge is made accessible to the scientific community via a web portal featuring interactive dashboards and visualization tools. Utilizing this systematically collected and curated resource, we computationally derived an integrated functional landscape for the entire human SLC superfamily. We identified clusters with distinct properties and established functional distances between transporters. Based on all available data sets and their integration, we assigned biochemical/biological functions to each SLC, making this study one of the largest systematic annotations of human gene function and a potential blueprint for future research endeavors.

Solute carriers (SLCs), the largest superfamily of transporter proteins in humans with about 450 members, control the movement of molecules across membranes. A typical human cell expresses over 200 different SLCs, yet their collective influence on cell phenotypes is not well understood due to overlapping substrate specificities and expression patterns. To address this, we performed systematic pairwise gene double knockouts using CRISPR-Cas12a and -Cas9 in human colon carcinoma cells. A total of 1,088,605 guide combinations were used to interrogate 35,421 SLC-SLC and SLC-enzyme double knockout combinations across multiple growth conditions, uncovering 1236 genetic interactions with a growth phenotype. Further exploration of an interaction between the mitochondrial citrate/malate exchanger SLC25A1 and the zinc transporter SLC39A1 revealed an unexpected role for SLC39A1 in metabolic reprogramming and anti-apoptotic signaling. This full-scale genetic interaction map of human SLC transporters is the backbone for understanding the intricate functional network of SLCs in cellular systems and generates hypotheses for pharmacological target exploitation in cancer and other diseases. The results are available at https://re-solute.eu/resources/dashboards/genomics/ .

Nicotinamide adenine dinucleotide kinase (NADK) catalyses the phosphorylation of NAD+ to produce NAD phosphate, the oxidized form of NADPH, a cofactor that serves a critical role in driving reductive metabolism. Cancer cells co-express two distinct NAD kinases that differ by localization (NADK, cytosol; NADK2, mitochondria). CRISPR screens performed across hundreds of cancer cell lines indicate that both are dispensable for growth in conventional culture media. By contrast, NADK deletion impaired cell growth in human plasma-like medium. Here we trace this conditional NADK dependence to the availability of folic acid. NADPH is the preferred cofactor of dihydrofolate reductase (DHFR), the enzyme that mediates metabolic activation of folic acid. We find that NADK is required for enabling cytosolic NADPH-driven DHFR activity sufficient to maintain folate-dependent nucleotide synthesis under low folic acid conditions. Our results reveal a basis for conditional NADK essentiality and suggest that folate availability determines whether DHFR activity can be sustained by alternative electron donors such as NADH.

Paralogs often exhibit functional redundancy, allowing them to effectively compensate for each other's loss. However, this buffering mechanism is frequently disrupted in cancer, exposing unique paralog-specific vulnerabilities. Here, we identify a selective dependency on the splicing factor TRA2A. We find that TRA2A and its paralog TRA2B are synthetic lethal partners that function as widespread and largely redundant activators of both alternative and constitutive splicing. While loss of TRA2A alone is typically neutral due to compensation by TRA2B, we discover that a subset of cancer cell lines are highly TRA2A-dependent. Upon TRA2A depletion, these cell lines exhibit a lack of paralog buffering specifically on shared splicing targets, leading to defects in mitosis and cell death. Notably, TRA2B overexpression rescues both the aberrant splicing and lethality associated with TRA2A loss, indicating that paralog compensation is dosage-sensitive. Together, these findings reveal a complex dosage-dependent relationship between paralogous splicing factors, and highlight how dysfunctional paralog buffering can create a selective dependency in cancer.

Cells are bathed in the extracellular fluids in which the extracellular pH (pHe) is maintained to a narrow range, and abnormal pHe is related to multiple diseases. However, the genes and signaling pathways underlying cell response to abnormal pHe remain unclear. Identification of genes responsive to extreme pHe challenge has great value in both basic research and medicine. Here, we performed genome-wide CRISPR screening to reveal genes and pathways related to insect cell response to abnormal pHe. Cells of the Bombyx mori embryonic cell line (BmE) genome-scale CRISPR screening cell library (BmEGCKLib) were cultured in different pHe (the physiological pH 6.3 as control; pH 5.0, 5.5, 6.6 and 6.95 as abnormal pHe). In the four extreme pH groups, we identified 44 overlapped fitness genes and 24 overlapped positive selected genes respectively. We also performed Kyoto Encyclopedia of Genes and Genomes pathways enrichment analysis for the selected genes. The "phosphatidylinositol signaling system", "mRNA surveillance pathway" and "spliceosome pathway" were significantly enriched in the negative selection, suggesting that cellular signal transduction and mRNA quality play essential roles for cells to resist to abnormal pHe. This is the first time to provide insight into insect cell response to abnormal pHe on a genome-scale.

Unbiased forward genetic screens have been extensively employed in biological research to elucidate functional genomics. In pooled clustered regularly interspaced short palindromic repeats (CRISPR) perturbation screens, various genetically encoded gain-of-function or loss-of-function mutations are introduced into a heterogeneous population of cells. Subsequently, these cells are screened for phenotypes, perturbation-associated genotypes are analyzed and a connection between genotype and phenotype is determined. CRISPR screening techniques enable the investigation of important biological questions, such as how bacterial toxins kill cells and cause disease. However, the broad spectrum of effects caused by diverse toxins presents a challenge when selecting appropriate screening strategies. Here, we provide a step-by-step protocol for a genome-wide pooled CRISPR perturbation screen to study bacterial toxins. We describe technical considerations, pilot experiments, library construction, screen execution, result analysis and validation of the top enriched hits. These screens are applicable for many different types of toxins and are anticipated to reveal a repertoire of host factors crucial in the intoxication pathway, such as receptors, trafficking/translocation factors and substrates. The entire protocol takes 21-27 weeks and does not require specialized knowledge beyond basic biology.

The NatA complex is composed of the NAA10, NAA15, and HYPK sub-units. It is primarily responsible for N-terminal acetylation, a critical post-translational modification in eukaryotes. Pathogenic variants within NAA10 cause Ogden Syndrome (OS), which is characterized by varying degrees of intellectual disability, hypotonia, developmental delay, and cardiac abnormalities. Although the cardiac manifestations of the disease have been described extensively in case reports, there has not been a study focusing on the cardiac manifestations and their recommended clinical cardiac management. In this study, we describe the cardiac manifestations of OS in a cohort of 85 probands. We found increased incidence of structural and electrophysiologic abnormalities, with particularly high prevalence of QT interval prolongation. Sub-analysis showed that male probands and those with variants within the NAA15-binding domain had more severe phenotypes than females or those with variants outside of the NAA15-binding domain. Our results suggest that an OS diagnosis should be accompanied by full cardiac workup with emphasis on echocardiogram for structural defects and EKG/Holter monitoring for electrophysiologic abnormalities. Additionally, we strongly recommend that the use of QT-prolonging drugs be followed up with routine electrophysiological monitoring or consultation with a pediatric cardiologist. We hope this study guides clinicians and caregivers treating patients with OS and moves the field toward a standardized diagnostic workup for patients with this condition.

Regulatory DNA provides a platform for transcription factor binding to encode cell-type-specific patterns of gene expression. However, the effects and programmability of regulatory DNA sequences remain difficult to map or predict. Here, we develop variant effects from flow-sorting experiments with CRISPR targeting screens (Variant-EFFECTS) to introduce hundreds of designed edits to endogenous regulatory DNA and quantify their effects on gene expression. We systematically dissect and reprogram 3 regulatory elements for 2 genes in 2 cell types. These data reveal endogenous binding sites with effects specific to genomic context, transcription factor motifs with cell-type-specific activities, and limitations of computational models for predicting the effect sizes of variants. We identify small edits that can tune gene expression over a large dynamic range, suggesting new possibilities for prime-editing-based therapeutics targeting regulatory DNA. Variant-EFFECTS provides a generalizable tool to dissect regulatory DNA and to identify genome editing reagents that tune gene expression in an endogenous context.

Variants in genes encoding multiple subunits of the RNA Polymerase III complex which synthesizes rRNAs, tRNAs, and other small RNAs were previously associated with neurological disorders, such as syndromic hypomyelination leukodystrophies, pontocerebellar hypoplasia, and cerebellofaciodental syndrome. One new such candidate is BRF2, which encodes a TFIIB-like factor that recruits the RNA polymerase III complex to type 3 promoters to initiate transcription of U6, RnaseP, and 7SK RNAs.

We combined sequencing with functional analyses to investigate the effects of BRF2 variants.

We observe that a previously reported significant underrepresentation of double transmission of a splice variant results in recessive lethality in three large Icelandic families with multiple perinatal losses. Using data aggregation, we identified an additional seven individuals worldwide from three unrelated families carrying biallelic variants in BRF2. Affected individuals present a variable phenotype ranging from severe craniofacial anomalies with early death to intellectual disability with motor and speech development. In silico 3D modelling and functional analyses showed functional impairment of the identified variants, e.g., differences in target loci occupancy. Zebrafish knocked down for the orthologous brf2 presented with abnormal escape response, reduced swimming velocity and head size, and craniofacial malformations. These defects were complemented by the human wild-type but not mutated BRF2 mRNA further demonstrating their deleteriousness.

Overall, our results support the association of biallelic BRF2 variants with a novel neurodevelopmental disease and provide an additional link between RNA polymerase III, its targets and craniofacial anomalies.

The mevalonate (MVA) pathway plays a critical role in cholesterol biosynthesis, protein prenylation, and metabolic reprogramming, all of which contribute to cancer progression and therapy resistance. Targeting the MVA pathway with statins and other inhibitors has shown promise in preclinical studies; however, clinical outcomes remain controversial, raising concerns about translating these findings into effective treatments. Additionally, the interaction between the MVA pathway and radiation therapy (RT) is not yet fully understood, as RT upregulates the pathway, which can enhance tumor cell survival. This review summarizes the current literature on MVA pathway inhibition in cancer therapy, focusing on its potential to enhance the efficacy of RT. A better understanding of the pathway's role in radiation responses will be essential to translate combination therapies that target this pathway.

Clear cell renal cell carcinoma (ccRCC), despite having a low mutational burden, is considered immunogenic because it occasionally undergoes spontaneous regressions and often responds to immunotherapies. The signature lesion in ccRCC is inactivation of the VHL tumor suppressor gene and consequent upregulation of the HIF transcription factor. An earlier case report described a ccRCC patient who was cured by an allogeneic stem cell transplant and later found to have donor-derived T cells that recognized a ccRCC-specific peptide encoded by a HIF-responsive endogenous retrovirus (ERV), ERVE-4. We report that ERVE-4 is one of many ERVs that are induced by HIF, translated into HLA-bound peptides in ccRCCs, and capable of generating antigen-specific T cell responses. Moreover, ERV expression can be induced in non-ccRCC tumors with clinical-grade HIF stabilizers. These findings have implications for leveraging ERVs for cancer immunotherapy.

The DNA damage response (DDR) is a multifaceted network of pathways that preserves genome stability1,2. Unravelling the complementary interplay between these pathways remains a challenge3,4. Here we used CRISPR interference (CRISPRi) screening to comprehensively map the genetic interactions required for survival during normal human cell homeostasis across all core DDR genes. We captured known interactions and discovered myriad new connections that are available online. We defined the molecular mechanism of two of the strongest interactions. First, we found that WDR48 works with USP1 to restrain PCNA degradation in FEN1/LIG1-deficient cells. Second, we found that SMARCAL1 and FANCM directly unwind TA-rich DNA cruciforms, preventing catastrophic chromosome breakage by the ERCC1-ERCC4 complex. Our data yield fundamental insights into genome maintenance, provide a springboard for mechanistic investigations into new connections between DDR factors and pinpoint synthetic vulnerabilities that could be exploited in cancer therapy.

We describe a scalable and cost-effective sgRNA synthesis workflow that reduces costs by over 70% through the use of large pools of microarray-derived oligos encoding unique sgRNA spacers. These subpool oligos are assembled into full-length dsDNA templates via Golden Gate Assembly before in vitro transcription with T7 RNA polymerase. RNA-seq analysis reveals severe biases in spacer representation, with some spacers being highly overrepresented while others are completely absent. Consistent with previous studies, we identify guanine-rich sequences within the first four nucleotides of the spacer, immediately downstream of the T7 promoter, as the primary driver of this bias. To address this issue, we introduced a guanine tetramer upstream of all spacers, which reduced bias by an average of 19% in sgRNA libraries containing 389 spacers. However, this modification also increased the presence of high-molecular-weight RNA species after transcription. We also tested two alternative bias-reduction strategies: compartmentalizing spacers within emulsions and optimizing DNA input and reaction volumes. Both methods independently reduced bias in 2,626-plex sgRNA libraries, though to a lesser extent than the guanine tetramer approach. These advancements enhance both the affordability and uniformity of sgRNA libraries, with broad implications for improving CRISPR-Cas9 screens and optimizing guide RNA design for other CRISPR and nuclease systems.

Artificial intelligence (AI) can transform drug discovery and early drug development by addressing inefficiencies in traditional methods, which often face high costs, long timelines, and low success rates. In this review we provide an overview of how to integrate AI to the current drug discovery and development process, as it can enhance activities like target identification, drug discovery, and early clinical development. Through multiomics data analysis and network-based approaches, AI can help to identify novel oncogenic vulnerabilities and key therapeutic targets. AI models, such as AlphaFold, predict protein structures with high accuracy, aiding druggability assessments and structure-based drug design. AI also facilitates virtual screening and de novo drug design, creating optimized molecular structures for specific biological properties. In early clinical development, AI supports patient recruitment by analyzing electronic health records and improves trial design through predictive modeling, protocol optimization, and adaptive strategies. Innovations like synthetic control arms and digital twins can reduce logistical and ethical challenges by simulating outcomes using real-world or virtual patient data. Despite these advancements, limitations remain. AI models may be biased if trained on unrepresentative datasets, and reliance on historical or synthetic data can lead to overfitting or lack generalizability. Ethical and regulatory issues, such as data privacy, also challenge the implementation of AI. In conclusion, in this review we provide a comprehensive overview about how to integrate AI into current processes. These efforts, although they will demand collaboration between professionals, and robust data quality, have a transformative potential to accelerate drug development.

The cell cycle, a critical and intricate biological process, comprises various phases, and its dysregulation plays a pivotal role in tumorigenesis and metastasis. The exploration of cell cycle-based molecular subtypes across pan-cancers, along with the application of synthetic lethality concepts, holds promise for advancing cancer therapies.

A pan-cancer analysis was conducted to assess the cell cycle serves as a reliable signature for classifying molecular subtypes and to understand the potential clinical application of genes as potential drug targets based on synthetic lethality.

Molecular subtypes derived from cell cycle features in certain cancers, particularly kidney-related malignancies, exhibited distinct immune characteristics. Synthetic lethal interactions within the cell cycle pathway were common, with significant genetic interactions further identifying potential drug targets through the exploitation of genetic relationships with key driver genes. Additionally, miRNAs and lncRNAs may influence the cell cycle through miRNA:mRNA interactions and ceRNA networks, thereby enriching the genetic interaction landscape.

These findings suggest that the cell cycle pathway could serve as a promising molecular subtype signature to enhance cancer prognostication and offer potential targets for anticancer drug development through synthetic lethality.

Essential genes are indispensable for the survival of cancer cell. CRISPR/Cas9-based pooled genetic screens have distinguished the essential genes and their functions in distinct cellular processes. Nevertheless, the landscape of essential genes at the single cell levels and the effect on the tumor microenvironment (TME) remains limited. Here, we identified 396 essential protein-coding genes (ESPs) by integration of 8 genome-wide CRISPR loss-of-function screen datasets of colorectal cancer (CRC) cell lines and single-cell RNA sequencing (scRNA-seq) data of CRC tissues. Then, 29 essential long non-coding genes (ESLs) were predicted using Hypergeometric Test (HT) and Personalized PageRank (PPR) algorithms based on ESPs and co-expressed network constructed from scRNA-seq. CRISPR/Cas9 knockout experiment verified the effect of several ESPs and ESLs on the survival of CRC cell line. Furthermore, multi-omics features of ESPs and ESLs were illustrated by examining their expression patterns and transcription factor (TF) regulatory network at the single cell level, as well as DNA mutation and DNA methylation events at bulk level. Finally, through integrating multiple intracellular regulatory networks with cell-cell communication network (CCN), we elucidated that CD47 and MIF are regulated by multiple CRC essential genes, and the anti-cancer drugs sunitinib can interfere the expression of them potentially. Our findings provide a comprehensive asset of CRC ESPs and ESLs, sheding light on the mining of potential therapy targets for CRC.

Human genome sequencing efforts in healthy and diseased individuals continue to identify a broad spectrum of genetic variants associated with predisposition, progression, and therapeutic outcomes for diseases like cancer1-6. Insights derived from these studies have significant potential to guide clinical diagnoses and treatment decisions; however, the relative importance and functional impact of most genetic variants remain poorly understood. Precision genome editing technologies like base and prime editing can be used to systematically engineer and interrogate diverse types of endogenous genetic variants in their native context7-9. We and others have recently developed and applied scalable sensor-based screening approaches to engineer and measure the phenotypes produced by thousands of endogenous mutations in vitro 10-12. However, the impact of most genetic variants in the physiological in vivo setting, including contextual differences depending on the tissue or microenvironment, remains unexplored. Here, we integrate new cross-species base editing sensor libraries with syngeneic cancer mouse models to develop a multiplexed in vivo platform for systematic functional analysis of endogenous genetic variants in primary and disseminated malignancies. We used this platform to screen 13,840 guide RNAs designed to engineer 7,783 human cancer-associated mutations mapping to 489 endogenous protein-coding genes, allowing us to construct a rich compendium of putative functional interactions between genes, mutations, and physiological contexts. Our findings suggest that the physiological in vivo environment and cellular organotropism are important contextual determinants of specific gene-variant phenotypes. We also show that many mutations and their in vivo effects fail to be detected with standard CRISPR-Cas9 nuclease approaches and often produce discordant phenotypes, potentially due to site-specific amino acid selection- or separation-of-function mechanisms. This versatile platform could be deployed to investigate how genetic variation impacts diverse in vivo phenotypes associated with cancer and other genetic diseases, as well as identify new potential therapeutic avenues to treat human disease.

We present GuideScan2 for memory-efficient, parallelizable construction of high-specificity CRISPR guide RNA (gRNA) databases and user-friendly design and analysis of individual gRNAs and gRNA libraries for targeting coding and non-coding regions in custom genomes. GuideScan2 analysis identifies widespread confounding effects of low-specificity gRNAs in published CRISPR screens and enables construction of a gRNA library that reduces off-target effects in a gene essentiality screen. GuideScan2 also enables the design and experimental validation of allele-specific gRNAs in a hybrid mouse genome. GuideScan2 will facilitate CRISPR experiments across a wide range of applications.

Alternative polyadenylation (APA) is an important contributor to the regulation of gene expression in plants. One subunit of the complex that cleaves and polyadenylates mRNAs in the nucleus, CPSF30 (for the 30 kD subunit of the mammalian Cleavage and Polyadenylation Specificity Factor), has been implicated in a wide-ranging network of regulatory events. CPSF30 plays roles in root development, flowering time, and response to biotic and abiotic stresses. CPSF30 also is a conduit that links cellular signaling and RNA modification with alternative RNA processing events and transcriptional dynamics. While much is known about CPSF30 and its roles in plants, questions remain regarding the connections between CPSF30-mediated APA and the downstream events that lead to specific phenotypic outcomes. To address these, we conducted a detailed analysis of poly(A) site usage in the CPSF30 mutant. Our results corroborate earlier reports that link CPSF30 with a distinctive cis element (AAUAAA) that is present 10-30 nts upstream of some, but not all, plant pre-mRNAs. Interestingly, our results reveal a distinctive shift in poly(A) site in mutants deficient in CPSF30, resulting in cleavage and polyadenylation at the location of motifs similar to AAUAAA. Importantly, CPSF30-associated APA had at best a small impact on mRNA functionality. These results necessitate the formulation of new hypotheses for mechanisms by which CPSF30-mediated APA influences physiological processes.

Extrachromosomal circular DNA (ecDNA) are commonly produced within the nucleus to drive genome dynamics and heterogeneity, enabling cancer cell evolution and adaptation. However, the mechanisms underlying ecDNA biogenesis remain poorly understood. Here using genome-wide CRISPR screening in human cells, we identified the BRCA1-A and the LIG4 complexes mediate ecDNA production. Following DNA fragmentation, the upstream BRCA1-A complex protects DNA ends from excessive resection, promoting end-joining for circularization. Conversely, the MRN complex, which mediates end resection and thus antagonizes the BRCA1-A complex, suppresses ecDNA formation. Downstream, LIG4 conservatively catalyzes ecDNA production in Drosophila and mammals, with patient tumor ecDNA harboring junctions marked by LIG4 activity. Notably, disrupting LIG4 or BRCA1-A in cancer cells impairs ecDNA-mediated adaptation, hindering resistance to both chemotherapy and targeted therapies. Together, our study reveals the roles of the LIG4 and BRCA1-A complexes in ecDNA biogenesis, and uncovers new therapeutic targets to block ecDNA-mediated adaptation for cancer treatment.

We encountered two affected male patients born to non-consanguineous parents, who presented with prenatal-onset severe growth impairment, primary microcephaly, developmental delay, adrenal insufficiency, congenital glaucoma, delayed bone aging, craniosynostosis, congenital tracheal stenosis, and primary hypogonadism. By exome sequencing, we identified compound heterozygous TEDC1 variants (NM_001134877.1 c.[104-5C>G];[787delG] p.[?];[(Ala263LeufsTer29)] in both affected siblings. We confirmed that the splice site variant, c.104-5C>G, leads to no TEDC1 protein production via nonsense-mediated mRNA decay. The frameshift variant located in the last coding exon, c.787delG, produces a C-terminally truncated protein, which impairs the binding with TEDC2. Thus, both variants are thought to be loss-of-function. TEDC1 and TEDC2 are both required for centriole stability and cell proliferation. Our in vitro experiments using patient-derived cells revealed cell cycle abnormality. Our in vivo study using tedc1-/- zebrafish generated by CRISPR/Cas9 successfully recapitulated the growth impairment and cranial bone dysplasia as seen in our patients. The tedc1-/- mutant zebrafish were sterile and did not have developed gonads. Furthermore, we showed that biallelic TEDC1 deletion causes cilia abnormalities through defective acetylated tubulins.

SPOUT1/CENP-32 encodes a putative SPOUT RNA methyltransferase previously identified as a mitotic chromosome associated protein. SPOUT1/CENP-32 depletion leads to centrosome detachment from the spindle poles and chromosome misalignment. Aided by gene matching platforms, here we identify 28 individuals with neurodevelopmental delays from 21 families with bi-allelic variants in SPOUT1/CENP-32 detected by exome/genome sequencing. Zebrafish spout1/cenp-32 mutants show reduction in larval head size with concomitant apoptosis likely associated with altered cell cycle progression. In vivo complementation assays in zebrafish indicate that SPOUT1/CENP-32 missense variants identified in humans are pathogenic. Crystal structure analysis of SPOUT1/CENP-32 reveals that most disease-associated missense variants are located within the catalytic domain. Additionally, SPOUT1/CENP-32 recurrent missense variants show reduced methyltransferase activity in vitro and compromised centrosome tethering to the spindle poles in human cells. Thus, SPOUT1/CENP-32 pathogenic variants cause an autosomal recessive neurodevelopmental disorder: SpADMiSS (SPOUT1 Associated Development delay Microcephaly Seizures Short stature) underpinned by mitotic spindle organization defects and consequent chromosome segregation errors.

The NatA complex is composed of the NAA10, NAA15, and HYPK subunits. It is primarily responsible for N-terminal acetylation, a critical post-translational modification in eukaryotes. Pathogenic variants within NAA10 cause Ogden Syndrome (OS), which is characterized by varying degrees of intellectual disability, hypotonia, developmental delay, and cardiac abnormalities. Although the cardiac manifestations of the disease have been described extensively in case reports, there has not been a study focusing on the cardiac manifestations and their recommended clinical cardiac management. In this study, we describe the cardiac manifestations of OS in a cohort of 85 probands. We found increased incidence of structural and electrophysiologic abnormalities, with particularly high prevalence of QT interval prolongation. Sub-analysis showed that male probands and those with variants within the NAA15-binding domain had more severe phenotypes than females or those with variants outside of the NAA15-binding domain. Our results suggest that an OS diagnosis should be accompanied by full cardiac workup with emphasis on echocardiogram for structural defects and EKG/Holter monitoring for electrophysiologic abnormalities. Additionally, we strongly recommend that the use of QT-prolonging drugs be followed up with routine electrophysiological monitoring or consultation with a pediatric cardiologist. We hope this study guides clinicians and caregivers treating patients with OS and moves the field toward a standardized diagnostic workup for patients with this condition.

Cis-regulatory elements (CREs), such as enhancers and promoters, are fundamental regulators of gene expression and, across different cell types, the MYC locus utilizes a diverse regulatory architecture driven by multiple CREs. To better understand differences in CRE function, we perform pooled CRISPR inhibition (CRISPRi) screens to comprehensively probe the 2.8 Mb topologically-associated domain containing MYC in 6 human cancer cell lines with nucleotide resolution. We map 32 CREs where inhibition leads to changes in cell growth, including 8 that overlap previously identified enhancers. Targeting specific CREs decreases MYC expression by as much as 60%, and cell growth by as much as 50%. Using 3-D enhancer contact mapping, we find that these CREs almost always contact MYC but less than 10% of total MYC contacts impact growth when silenced, highlighting the utility of our approach to identify phenotypically-relevant CREs. We also detect an enrichment of lineage-specific transcription factors (TFs) at MYC CREs and, for some of these TFs, find a strong, tumor-specific correlation between TF and MYC expression not found in normal tissue. Taken together, these CREs represent systematically identified, functional regulatory regions and demonstrate how the same region of the human genome can give rise to complex, tissue-specific gene regulation.

Hexokinase (HK) catalyzes the synthesis of glucose-6-phosphate, marking the first committed step of glucose metabolism. Most cancer cells express two homologous isoforms (HK1 and HK2) that can each bind to the outer mitochondrial membrane (OMM). CRISPR screens across hundreds of cancer cell lines indicate that both are dispensable for cell growth in traditional culture media. By contrast, HK2 deletion impairs cell growth in Human Plasma-Like Medium (HPLM). Here, we find that HK2 is required to maintain sufficient cytosolic (OMM-detached) HK activity under conditions that enhance HK1 binding to the OMM. Notably, OMM-detached rather than OMM-docked HK promotes "aerobic glycolysis" (Warburg effect), an enigmatic phenotype displayed by most proliferating cells. We show that several proposed theories for this phenotype cannot explain the HK2 dependence and instead find that HK2 deletion severely impairs glycolytic ATP production with little impact on total ATP yield for cells in HPLM. Our results reveal a basis for conditional HK2 essentiality and suggest that demand for compartmentalized ATP synthesis underlies the Warburg effect.

Taxane-based chemotherapy is the primary treatment for triple-negative breast cancer (TNBC), yet clinical outcomes remain unsatisfactory due to the persistence of chemoresistance. Identifying key factors that contribute to chemoresistance and understanding the associated molecular mechanisms is therefore essential.

The GEO databases were utilized to pinpoint factors related to chemoresistance, which were subsequently validated using clinical tissue samples. The role of UGCG in the malignant progression and chemoresistance of TNBC was assessed through various functional assays. Western blotting, qRT-PCR, and immunohistochemistry were employed to investigate the signaling pathways associated with UGCG in TNBC.

UGCG expression was notably elevated in chemoresistant breast cancer tissues and cells, as identified in GEO databases and confirmed through immunohistochemistry. Additionally, findings from our cohorts indicated that higher levels of UGCG expression correlated with a lower rate of pathological complete response (pCR), suggesting it could serve as an independent predictor of chemotherapy effectiveness. Gain- and loss-of-function experiments demonstrated that UGCG enhanced the proliferation, metastasis, and stemness of breast cancer cells. Furthermore, treatment with paclitaxel or docetaxel resulted in increased UGCG expression, which in turn reduced chemotherapy-induced cell apoptosis and improved drug resistance and metastatic capabilities. Mechanistically, UGCG was found to amplify the activation of NF-κB and Wnt/β-catenin pathways, and the use of inhibitors targeting these pathways diminished the UGCG-induced malignant effects.

Our findings underscore the significant role of UGCG in the chemoresistance and progression of breast cancer, suggesting it as a predictive biomarker and potential therapeutic target to combat chemoresistance in this disease.

High-throughput genetic screening serves as an indispensable approach for deciphering gene functions and the intricate relationships between phenotypes and genotypes. The CRISPR/Cas9 system, with its ability to precisely edit genomes on a large scale, has revolutionized the field by enabling the construction of comprehensive genomic libraries. This technology has become a cornerstone for genome-wide screenings in disease research. This review offers a comprehensive examination of how CRISPR/Cas9-based genetic screening has been leveraged to uncover genes that play a role in disease mechanisms, focusing on areas such as cancer development and viral replication processes. The insights presented in this review hold promise for the development of novel therapeutic strategies and precision medicine approaches.

The γ-tubulin (TUBG) meshwork is a central regulator of cellular architecture, orchestrating processes such as microtubule nucleation, mitochondrial organization, and genomic integrity. This study investigates the molecular impact of TUBG depletion on the cytoskeleton. Knockdown of TUBG using single guide RNA disrupted microtubule, vimentin, and lamin B networks while simultaneously reinforcing actin filaments structures. These findings suggest that actin reinforcement may act as a compensatory response to the broader disruption of cytoskeletal integrity. Expression of N-terminal (TUBG1-335) or C-terminal (TUBG334-451) fragments of TUBG1 partially restored these networks, with the C-terminal fragment demonstrating greater effectiveness reestablishing microtubule integrity. Both fragments stabilized vimentin filaments and the nuclear envelope, underscoring TUBG's dual structural and regulatory roles across multiple cytoskeletal systems. This study highlights the critical hubbing properties of TUBG in coordinating cytoskeletal integrity and its potential as a therapeutic target in cytoskeleton-related disorders.

RNase MRP and RNase P are evolutionarily related complexes that facilitate rRNA and tRNA biogenesis, respectively. The two enzymes share nearly all protein subunits and have evolutionarily related catalytic RNAs. Notably, RNase P includes a unique subunit, Rpp21, whereas no RNase MRP-specific proteins have been found in humans, limiting molecular analyses of RNase MRP function. Here, we identify the RNase MRP-specific protein, C18orf21/RMRPP1. RMRPP1 and Rpp21 display significant structural homology, but we identify specific regions that drive interactions with their respective complexes. Additionally, we reveal that RNase MRP is required for 40S, but not 60S, ribosome biogenesis uncovering an alternative pathway for ribosome assembly. Finally, we identify Nepro as an essential rRNA processing factor that associates with the RNase MRP complex. Together, our findings elucidate the molecular determinants of RNase MRP function and underscore its critical role in ribosome biogenesis.

All known protein components of one of the longest-studied human ribonucleoprotein ribozyme nuclear Ribonuclease MRP (RNase MRP), which processes pre-rRNA at ITS1 site 2, are shared with Ribonuclease P (RNase P), which cleaves pre-tRNA 5' leader sequences. Our genome-wide forward genetic screening identified two poorly characterized human genes, which we named RPP24 and RPP64. We show that these two genes are required for pre-rRNA ITS1 site 2 processing and their protein products efficiently associate with RNA MRP. Unlike all other human RNase MRP protein components, RPP24 and RPP64 are not required for RNase P activity and do not associate with RNase P-specific RNA H1. Despite extremely limited sequence homology, RPP24 and RPP64 exhibit predicted structural similarities to two RNase MRP-specific components in S. cerevisiae, with specific differences in RPP64 regions of substrate recognition. Collectively, our functional screening and validation revealed the first two protein components unique to human nuclear RNase MRP.