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Lin, K.-T.

Publications and source records attributed to Lin, K.-T..

10 recordsLinked to original sources

The Spliceosome Scaffold Component BCAS2 Promotes Pancreatic Cancer Progression through Weak 5 Splice Site Dependent Splicing Regulation

Pancreatic ductal adenocarcinoma (PDAC) remains one of the deadliest malignancies. Dysregulated RNA splicing has emerged as a critical mechanism contributing to PDAC progression. However, whether structural components of the spliceosome regulate oncogenic alternative splicing was not known. Here, we identify the nineteen complex (NTC) component BCAS2/SPF27 as a critical regulator of PDAC progression. Elevated expression of BCAS2 in PDAC is associated with poor patient outcomes. Transcriptomic analyses revealed that BCAS2 specifically regulates alternative exons with weak splice sites. In particular, BCAS2 promotes SOS1 exon 21 inclusion and consequently RAC-signaling activation. Furthermore, splice-switching antisense oligonucleotide (ASO) mediated skipping of SOS1 exon 21 suppressed PDAC proliferation and migration. Our findings uncover a role of BCAS2 in the regulation of weak splice site usage and identify the BCAS2/SOS1/RAC signaling axis as a potential therapeutic vulnerability in pancreatic cancer.

cancer biology↗

A Single-Aliquot, Enrichment-Free Workflow for High-Throughput Plasma Proteome and N-Glycoproteome Profiling

High cancer mortality rates highlight an urgent need for early detection. Plasma proteomics and glycoproteomics provide minimally invasive routes for biomarker discovery, yet achieving an optimal balance among profiling depth, throughput, and longitudinal reproducibility remains a major challenge for clinical application and translation. To overcome this bottleneck, we present a single-aliquot, enrichment-free, paired-run dual-omics pipeline that concurrently profiles the global plasma proteome and N-glycoproteome from unenriched plasma. Following depletion of top14 abundant plasma proteins, we implemented sequential 23-min narrow-window data-independent acquisition (DIA) and 42-min stepped-collision-energy data-dependent (SCE-DDA) runs from the same plasma digest, delivering a clinical throughput of [~]24 patients/day with deep proteome coverage of 3,756{+/-}413 protein groups (PGs) and 1,226{+/-}78 glycopeptides per sample, including 303 FDA-approved drug targets. Cross-platform benchmarking with a previous generation instrument demonstrated significantly faster (>10-20 fold) profiling speed to achieve 113 PGs/min and high protein abundance reproducibility (Pearson r > 0.9), confirming cross-instrument transferability. Application to a 300-participant lung cohort (cancer, LDCT-detected non-cancer nodules, and controls) revealed differential expression of S100 and annexin family proteins between cancer and nodules. Paired glycoproteomic analysis (n=30) identified site-specific N-glycosylation alterations in FN1, IGHG2, C3, and MET independent of total protein abundance, uncovering additional biomarker candidates for early lung cancer detection. Together, this dual-omics strategy enables deep, scalable, and reproducible plasma analysis, supporting longitudinal biomarker discovery and validation across instruments and laboratories.

biochemistry↗

On-target toxicity limits the efficacy of CDK11 inhibition against cancers with 1p36 deletions

The cyclin-dependent kinase CDK11 is an understudied kinase that has been the subject of conflicting reports regarding its function in cancer. Here, we combine genetic and pharmacological approaches to demonstrate that CDK11 is a critical regulator of cancer cell survival that is required for RNA splicing and the expression of homologous recombination genes. Inhibition of CDK11 disrupts genome stability, promotes the retention of intronic sequences in mature mRNAs, and induces synthetic lethality with PARP inhibitors. Through integrative analysis of functional genomics datasets, we identify heterozygous deletions of chromosome 1p36 - which encompasses CDK11 and its activating cyclin CCNL2 - as a recurrent and predictive biomarker of sensitivity to CDK11 inhibition. To assess the therapeutic potential of CDK11, we develop MEL-495R, a selective and orally bioavailable CDK11 inhibitor. Additionally, we establish a genetically-engineered mouse model that allows us to differentiate between the on-target and off-target effects of CDK11 inhibitors in vivo. Using this platform, we demonstrate that MEL-495R induces widespread on-target toxicity, revealing a narrow therapeutic index. Together, these findings define CDK11 as a core cancer dependency, uncover a chromosomal deletion that sensitizes tumors to CDK11 inhibition, and provide a generalizable strategy for deconvolving drug efficacy and toxicity in vivo for novel oncology targets.

cancer biology↗

A Whole-Cell Screening Platform to Discover Cell Adhesion Molecules that Enable Programmable Bacterial Cell-Cell Adhesion

Developing programmable bacterial cell-cell adhesion is of significant interest due to its versatile applications. Current methods that rely on presenting cell adhesion molecules (CAMs) on bacterial surfaces are limited by the lack of a generalizable strategy to identify such molecules targeting bacterial membrane proteins in their natural states. Here, we introduce a whole-cell screening platform designed to discover CAMs targeting bacterial membrane proteins within a synthetic bacteria-displayed nanobody library. Leveraging the potency of the bacterial type IV secretion system--a contact-dependent DNA delivery nanomachine--we have established a positive feedback mechanism to selectively enrich for bacteria displaying nanobodies that target antigen-expressing cells. Our platform successfully identified functional CAMs capable of recognizing three distinct outer membrane proteins (TraN, OmpA, OmpC), demonstrating its efficacy in CAM discovery. This approach holds promise for engineering bacterial cell-cell adhesion, such as targeted antimicrobial interventions in the microbiome by deploying programmed inhibitor cells.

microbiology↗

Hydrogen Sulfide Coordinates Glucose Metabolism Switch through Destabilizing Tetrameric Pyruvate Kinase M2

Cancer cells reprogram their glucose metabolic pathway from oxidative phosphorylation toward aerobic glycolysis. Pyruvate kinase M2 (PKM2), which converts phosphoenolpyruvate (PEP) to pyruvate, is considered the rate-limiting enzyme involved in cancer glucose metabolism. By reducing PKM2 enzyme activity, cancer cells attain a greater fraction of glycolytic metabolites for macromolecule synthesis needed for rapid proliferation. Here we demonstrate that hydrogen sulfide (H2S) destabilizes PKM2 tetramer into dimer/monomer, leading to reduced PKM2 enzyme activity and an increase in the activation of nuclear transcriptional genes mediated by dimeric PKM2. Proteomic profiling of endogenous PKM2 reveals the occurrence of sulfhydration at cysteines, notably at cysteine 326. Blocking PKM2 sulfhydration at cysteine 326 through amino acid mutation stabilizes PKM2 tetramer and crystal structure further indicating that the tetramer organization of PKM2C326S is different from the currently known T or R states, revealing PKM2C326S as a newly identified form. The presence of a PKM2C326S mutant in cancer cells effectively rewires glucose metabolism to mitochondrial respiration, resulting in the significant inhibition of tumor growth. Collectively, PKM2 sulfhydration by H2S serves as a glucose metabolic rewiring mechanism in promoting tumorigenesis, and inhibition of PKM2 sulfhydration may be applied as a new therapeutic approach targeting cancer metabolism. One-Sentence SummaryH2S rewires glucose metabolism by destabilizing PKM2 tetramerization majorly through sulfhydration at cysteine 326 HighlightsO_LIH2S enhances PKM2 dissociation from tetramer to dimer to facilitate dimeric PKM2 nuclear translocation. C_LIO_LIH2S modifies PKM2 sulfhydration, notably at cysteine 326. C_LIO_LIThe crystal structure reveals PKM2C326S as a unique tetramer conformation. C_LIO_LIBlockage of PKM2 sulfhydration at C326 rewires cancer glucose metabolism and significantly inhibits tumor growth. C_LI

cancer biology↗

Loss of KRASG12D feedback regulation involving splicing factor SRSF1 accelerates pancreatic cancer

The gene encoding KRAS GTPase is recurrently mutated in pancreatic ductal adenocarcinoma (PDAC), triggering the formation of precursor lesions, i.e., acinar-to-ductal metaplasia (ADM) and pancreatic intraepithelial neoplasia (PanIN). However, the majority of pancreatic cells from KC (LSL-KrasG12D/+; Pdx-1-Cre) mice expressing the KrasG12D mutation remain morphologically normal for a long time, suggesting the existence of compensatory feedback mechanisms that buffer aberrant KrasG12D signaling, and that additional steps are required for disrupting cell homeostasis and promoting transformation. Here we report a feedback mechanism in which the ubiquitously expressed splicing factor SRSF1--which is associated with cell transformation in multiple cell types--is downregulated in the majority of morphologically normal pancreas cells with the KrasG12D mutation. Conversely, increasing SRSF1 expression disrupts cell homeostasis by activating MAPK signaling, in part by regulating alternative splicing and mRNA stability of interleukin 1 receptor type 1 (Il1r1). This disruption in homeostasis in turn accelerates KrasG12D-mediated PDAC initiation and progression. Our results demonstrate the involvement of SRSF1 in the pancreatic-cell homeostatic response against the KrasG12D mutation, dysregulation of which facilitates PDAC initiation. One-Sentence SummarySplicing factor SRSF1 is involved in KRASG12D feedback regulation and pancreatic-cancer tumorigenesis.

cancer biology↗

Systematic characterization of short intronic splicing-regulatory elements

Intronic splicing enhancers and silencers (ISEs and ISSs) are two groups of splicing-regulatory elements (SREs) that play critical roles in determining splice-site selection, particularly for alternatively spliced introns or exons. SREs are often short motifs; their mutation or dysregulation of their cognate proteins frequently causes aberrant splicing and results in disease. To date, however, knowledge about SRE sequences and how they regulate splicing remains limited. Here, using an SMN2 minigene, we generated a complete pentamer-sequence library that comprises all possible combinations of 5 nucleotides in intron 7, at a fixed site downstream of the 5' splice site. We systematically analyzed the effects of all 1023 mutant pentamers on exon 7 splicing, in comparison to the wild-type minigene, in HEK293 cells. Our data show that the majority of pentamers significantly affect exon 7 splicing: 584 of them are stimulatory and 230 are inhibitory. To identify actual SREs, we utilized a motif set enrichment analysis (MSEA), from which we identified groups of stimulatory and inhibitory SRE motifs. We experimentally validated several strong SREs in SMN1/2 and MAPT minigene settings. Our results provide a valuable resource for understanding how short RNA sequences regulate splicing. Many novel SREs can be explored further to elucidate their mechanism of action.

molecular biology↗

Differential functions of splicing factors in breast-cancer initiation and metastasis

Misregulation of alternative splicing is a hallmark of human tumors; yet to what extent and how it contributes to malignancy are only beginning to be unraveled. Here, we define which members of the splicing factor SR and SR-like families contribute to breast cancer, and uncover differences and redundancies in their targets and biological functions. We first identify splicing factors frequently altered in human breast tumors, and then assay their oncogenic functions using breast organoid models. Importantly we demonstrate that not all splicing factors affect mammary tumorigenesis. Specifically, upregulation of either SRSF4, SRSF6 or TRA2{beta} promotes cell transformation and invasion. By characterizing the targets of theses oncogenic factors, we identify a shared set of spliced genes associated with well-established cancer hallmarks. Finally, we demonstrate that the splicing factor TRA2{beta} is regulated by the MYC oncogene, plays a role in metastasis maintenance in vivo, and its levels correlate with breast-cancer-patient survival.

cancer biology↗

A human-specific switch of alternatively spliced AFMID isoforms contributes to TP53 mutations and tumor recurrence in hepatocellular carcinoma

Pre-mRNA splicing can contribute to the switch of cell identity that occurs in carcinogenesis. Here we analyze a large collection of RNA-Seq datasets and report that splicing changes in hepatocyte-specific enzymes, such as AFMID and KHK, are associated with HCC patients survival and relapse. The switch of AFMID isoforms is an early event in HCC development, and is associated with driver mutations in TP53 and ARID1A. Finally, we show that the switch of AFMID isoforms is human-specific and not detectable in other species, including primates. The integrative analysis uncovers a mechanistic link between splicing switches, de novo NAD+ biosynthesis, driver mutations, and HCC recurrence.

bioinformatics↗

De novo indels within introns contribute to ASD incidence

Copy number profiling and whole-exome sequencing has allowed us to make remarkable progress in our understanding of the genetics of autism over the past ten years, but there are major aspects of the genetics that are unresolved. Through whole-genome sequencing, additional types of genetic variants can be observed. These variants are abundant and to know which are functional is challenging. We have analyzed whole-genome sequencing data from 510 of the Simons Simplex Collections quad families and focused our attention on intronic variants. Within the introns of 546 high-quality autism target genes, we identified 63 de novo indels in the affected and only 37 in the unaffected siblings. The difference of 26 events is significantly larger than expected (p-val = 0.01) and using reasonable extrapolation shows that de novo intronic indels can contribute to at least 10% of simplex autism. The significance increases if we restrict to the half of the autism targets that are intolerant to damaging variants in the normal human population, which half we expect to be even more enriched for autism genes. For these 273 targets we observe 43 and 20 events in affected and unaffected siblings, respectively (p-value of 0.005). There was no significant signal in the number of de novo intronic indels in any of the control sets of genes analyzed. We see no signal from de novo substitutions in the introns of target genes.

genetics↗