Unbiased interrogation of functional lysine residues in human proteome

Mapping functional elements of the DNA damage response through base editor screens

Maintaining genomic stability is vital for cellular equilibrium. In this study, we combined CRISPR-mediated base editing with pooled screening technologies to identify numerous mutations in lysine residues and protein-coding genes. The loss of these lysine residues and genes resulted in either sensitivity or resistance to DNA-damaging agents. Among the identified variants, we characterized both loss-of-function and gain-of-function mutations in response to DNA damage. Notably, we discovered that the K494 mutation of C17orf53 disrupts its interaction with RPA proteins, leading to increased sensitivity to cisplatin. Additionally, our analysis identified STK35 as a previously unrecognized gene involved in DNA damage response (DDR) pathways, suggesting that it may play a critical role in DNA repair. We believe that this resource will offer valuable insights into the broader functions of DNA damage response genes and accelerate research on variants relevant to cancer therapy.

Protocol for high-throughput screening of functional lysine residues in cell fitness

Amino acid residues are crucial to protein structure and function and have links to various human diseases. Here, we present a protocol for screening functional lysine residues across the human genome. We describe steps for designing lysine codon-targeting single-guide RNAs (sgRNAs), constructing an sgRNA library, conducting cell fitness screenings, and acquiring screening results. This approach leverages base editing and high-throughput screening techniques to systematically examine functional amino acid residues. For complete details on the use and execution of this protocol, please refer to Bao et al.1.

Functional profiling of serine, threonine and tyrosine sites

Systematic perturbation of amino acids at endogenous loci provides diverse insights into protein function. Here, we performed a genome-wide screen to globally assess the cell fitness dependency of serine, threonine and tyrosine residues. Using an adenine base editor, we designed a whole-genome library comprising 817,089 single guide RNAs to perturb 584,337 S, T and Y sites. We identified 3,467 functional substitutions affecting cell fitness and 677 of them involving phosphorylation, including numerous phosphorylation-mediated gain-of-function substitutions that regulate phosphorylation levels of itself or downstream factors. Furthermore, our findings highlight that specific substitution types, notably serine to proline, are crucial for maintaining domain structure broadly. Lastly, we demonstrate that 309 enriched hits capable of initiating cell overproliferation might be potential cancer driver mutations. This study represents an extensive functional profiling of S, T and Y residues and provides insights into the distinctive roles of these amino acids in biological mechanisms and tumor progression.

Covalent fragment-based drug discovery for target tractability

An important consideration in drug discovery is the prioritization of tractable protein targets that are not only amenable to binding small molecules, but also alter disease biology in response to small molecule binding. Covalent fragment-based drug discovery has emerged as a powerful approach to aid in the identification of such protein targets. The application of irreversible binding mechanisms enables the identification of fragment hits for challenging-to-target proteins, allows proteome-wide screening in a cellular context, and makes it possible to determine functional effects with modestly potent ligands without the requirement for extensive compound optimization. Here, we provide an overview of recent approaches to covalent fragment-based screening and discuss how these have been applied to establish the tractability of unexplored binding sites on protein targets.

CRISPR screens in mechanism and target discovery for AML

CRISPR-based screens have discovered novel functional genes involving in diverse tumor biology and elucidated the mechanisms of the cancer pathological states. Recently, with its randomness and unbiasedness, CRISPR screens have been used to discover effector genes with previously unknown roles for AML. Those novel targets are related to AML survival resembled cellular pathways mediating epigenetics, synthetic lethality, transcriptional regulation, mitochondrial and energy metabolism. Other genes that are crucial for pharmaceutical targeting and drug resistance have also been identified. With the rapid development of novel strategies, such as barcodes and multiplexed mosaic CRISPR perturbation, more potential therapeutic targets and mechanism in AML will be discovered. In this review, we present an overview of recent progresses in the development of CRISPR-based screens for the mechanism and target identification in AML and discuss the challenges and possible solutions in this rapidly growing field.

Deconstructing cancer with precision genome editing

Recent advances in genome editing technologies are allowing investigators to engineer and study cancer-associated mutations in their endogenous genetic contexts with high precision and efficiency. Of these, base editing and prime editing are quickly becoming gold-standards in the field due to their versatility and scalability. Here, we review the merits and limitations of these precision genome editing technologies, their application to modern cancer research, and speculate how these could be integrated to address future directions in the field.

Detection and Analysis of Short Linear Motif-Based Protein-Protein Interactions with SLiMAn2 Web Server

Interactomics is bringing a deluge of data regarding protein-protein interactions (PPIs) which are involved in various molecular processes in all types of cells. However, this information does not easily translate into direct and precise molecular interfaces. This limits our understanding of each interaction network and prevents their efficient modulation. A lot of the detected interactions involve recognition of short linear motifs (SLiMs) by a folded domain while others rely on domain-domain interactions. Functional SLiMs hide among a lot of spurious ones, making deeper analysis of interactomes tedious. Hence, actual contacts and direct interactions are difficult to identify.Consequently, there is a need for user-friendly bioinformatic tools, enabling rapid molecular and structural analysis of SLiM-based PPIs in a protein network. In this chapter, we describe the use of the new webserver SLiMAn to help digging into SLiM-based PPIs in an interactive fashion.

The case of the missing Ks: Base editor screen to assess cellular fitness at single lysines

In this issue of Molecular Cell, Bao et al.1 set out to elucidate "functional lysines" in the genome using adenine base editors. The study reveals several cases of alteration of functions that previous canonical CRISPR-Cas9 screens were unable to detect.