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CLN3 transcript complexity revealed by long-read RNA sequencing analysis.

BACKGROUND: Batten disease is a group of rare inherited neurodegenerative diseases. Juvenile CLN3 disease is the most prevalent type, and the most common pathogenic variant shared by most patients is the "1-kb" deletion which removes two internal coding exons (7 and 8) in CLN3. Previously, we identified two transcripts in patient fibroblasts homozygous for the 1-kb deletion: the 'major' and 'minor' transcripts. To understand the full variety of disease transcripts and their role in disease pathogenesis, it is necessary to first investigate CLN3 transcription in "healthy" samples without juvenile CLN3 disease. METHODS: We leveraged PacBio long-read RNA sequencing datasets from ENCODE to investigate the full range of CLN3 transcripts across various tissues and cell types in human control samples. Then we sought to validate their existence using data from different sources. RESULTS: We found that a readthrough gene affects the quantification and annotation of CLN3. After taking this into account, we detected over 100 novel CLN3 transcripts, with no dominantly expressed CLN3 transcript. The most abundant transcript has median usage of 42.9%. Surprisingly, the known disease-associated 'major' transcripts are detected. Together, they have median usage of 1.5% across 22 samples. Furthermore, we identified 48 CLN3 ORFs, of which 26 are novel. The predominant ORF that encodes the canonical CLN3 protein isoform has median usage of 66.7%, meaning around one-third of CLN3 transcripts encode protein isoforms with different stretches of amino acids. The same ORFs could be found with alternative UTRs. Moreover, we were able to validate the translational potential of certain transcripts using public mass spectrometry data. CONCLUSION: Overall, these findings provide valuable insights into the complexity of CLN3 transcription, highlighting the importance of studying both canonical and non-canonical CLN3 protein isoforms as well as the regulatory role of UTRs to fully comprehend the regulation and function(s) of CLN3. This knowledge is essential for investigating the impact of the 1-kb deletion and rare pathogenic variants on CLN3 transcription and disease pathogenesis.

Humans

The Cln3-Cdc28 kinase complex of S. cerevisiae is regulated by proteolysis and phosphorylation.

In Saccharomyces cerevisiae, several of the proteins involved in the Start decision have been identified; these include the Cdc28 protein kinase and three cyclin-like proteins, Cln1, Cln2 and Cln3. We find that Cln3 is a very unstable, low abundance protein. In contrast, the truncated Cln3-1 protein is stable, suggesting that the PEST-rich C-terminal third of Cln3 is necessary for rapid turnover. Cln3 associates with Cdc28 to form an active kinase complex that phosphorylates Cln3 itself and a co-precipitated substrate of 45 kDa. The cdc34-2 allele, which encodes a defective ubiquitin conjugating enzyme, dramatically increases the kinase activity associated with Cln3, but does not affect the half-life of Cln3. The Cln--Cdc28 complex is inactivated by treatment with non-specific phosphatases; prolonged incubation with ATP restores kinase activity to the dephosphorylated kinase complex. It is thus possible that phosphate residues essential for Cln-Cdc28 kinase activity are added autocatalytically. The multiple post-translational controls on Cln3 activity may help Cln3 tether division to growth.

Base Sequence

Is START a switch?

The cell cycle in Saccharomyces cerevisiae is controlled by regulation of START in late G1. The CLN1, CLN2 and CLN3 family of cyclin homologues is required for cells to pass START. They probably act by activating the CDC28 protein kinase. Expression of CLN1 or CLN3 under the control of an inducible promoter shows that transcription of either gene is sufficient for cyclin-deficient strains arrested in G1 to traverse START. A model of START regulation involves activation of CDC28 kinase by any CLN protein, leading to activation of CLN1 and CLN2 transcription in a positive feedback loop and passage through START. The cell cycle-dependent transcriptional regulators SWI4 and SWI6 may be components of the feedback loop. Cell cycle commitment entails resistance to the inhibitory action of mating factor, which correlates with peak levels of CLN1 and CLN2 mRNAs. FAR1 encodes an alpha-factor-dependent inhibitor of CLN function whose expression is markedly reduced at the time of START. The interplay of all these factors may sharpen the START transition such that it is close to an all-or-nothing switch event. This may be important for several START-dependent events to be activated at the same time, leading to coordinated cell cycle progression.

Cell Cycle

Mapping the gene for juvenile onset neuronal ceroid lipofuscinosis to chromosome 16 by linkage analysis.

The ceroid-lipofuscinoses are a group of inherited neurodegenerative disorders characterised by the accumulation of autofluorescent lipopigment in neurones and other cell types. The underlying biochemical defect is unknown. Juvenile onset neuronal ceroid lipofuscinosis (Batten disease; Spielmeyer-Vogt disease) is an autosomal recessive trait. Linkage studies were undertaken to determine the location of the Batten disease (CLN3) mutation. Studies were carried out on 205 members of 42 families in which there were 76 affected individuals. Families originated from 7 North European countries and Canada. Serum samples from 23 families, including a total of 48 affected children, were tested for a set of "classical markers." A positive lod score was found with the haptoglobin (Hp) system. The combined male and female maximum lod score was 3.00 at theta = 0.00 and theta = 0.26, respectively. This provided an indication of localisation to the long arm of chromosome 16. Linkage analysis was then carried out in 42 families using DNA markers for loci on human chromosome 16. The maximal lod score between Batten disease and the locus D16S148 calculated for combined sexes was 6.05. No recombinants were observed. Multilocus analysis using 5 loci indicated the most likely order to be HP-D16S151-D16S150-CLN3-D16S148-D16S147. Work is in progress to refine the genetic and physical localisation of the Batten disease gene using additional markers in this region and a panel of somatic cell hybrids. Methods are now available which should allow the gene to be isolated and characterised.

Child

A cyclin protein modulates mitosis in the budding yeast Saccharomyces cerevisiae.

For the budding yeast Saccharomyces cerevisiae the mitotic cell cycle is coordinated with cell mass at the regulatory step "start". The threshold amount of cell mass (reflected as a "critical size") necessary for "start" is proportional to nutrient quality. This relationship leads to a transient accumulation of cells at "start", termed nutrient modulation, upon enrichment of nutrient conditions. Nutrient enrichment abruptly increases the critical size needed for "start", causing the smaller cells, produced in the previous cell cycle, to be delayed at "start" while growing larger. Here we show that, in S. cerevisiae, a second cell-cycle step, at mitosis, also exhibits nutrient modulation, and is, therefore, another point of cell-cycle regulation. At both mitosis and "start", nutrient modulation was found through mutation to be regulated by the activity of the cyclin-related WHI1 (CLN3) gene product.

Culture Media

Different G1 cyclins control the timing of cell cycle commitment in mother and daughter cells of the budding yeast S. cerevisiae.

Growth of S. cerevisiae cells by budding gives rise to asymmetric progeny cells: a larger "mother" cell and a smaller "daughter" cell. The mother cell transits a brief G1 phase before forming a new bud and beginning DNA replication. The daughter cell stays in G1 for a longer period, growing in size before initiating a new cell cycle. We show that the timing of cell cycle initiation in mother and daughter cells is governed by different G1 cyclins. In daughter cells, transcription of CLN1 and CLN2 is induced in a size-dependent manner, and these cyclins are necessary for the normal timing of cell cycle initiation. CLN3 is not required in daughter cells, but is crucial for mother cells, in which the G1 phase is much longer in the absence of this cyclin.

CDC28 Protein Kinase, S cerevisiae

SIT4 protein phosphatase is required for the normal accumulation of SWI4, CLN1, CLN2, and HCS26 RNAs during late G1.

In Saccharomyces cerevisiae, the RNA levels of the G1 cyclins CLN1, CLN2, and HCS26 increase dramatically during the late G1 phase of the cell cycle. The SIT4 gene, which encodes a serine/threonine protein phosphatase, is required for the normal accumulation of CLN1, CLN2, and HCS26 RNAs during late G1. This requirement for SIT4 in normal G1 cyclin RNA accumulation is at least partly via SWI4. Strains containing mutations in SIT4 are sensitive to the loss of either CLN2 or CLN3 function. At the nonpermissive temperature, temperature-sensitive sit4 strains are blocked for both bud emergence and DNA synthesis. Heterologous expression of CLN2 in the absence of SIT4 function results in DNA synthesis, but most of the cells are still blocked for bud emergence. Therefore, SIT4 is required for at least two late G1 or G1/S functions: the normal accumulation of G1 cyclin RNAs (which is required for DNA synthesis) and some additional function that is required for bud emergence or cell cycle progression through late G1 or G1/S.

Cyclins

CLB5: a novel B cyclin from budding yeast with a role in S phase.

Budding yeast strains have three CLN genes, which have limited cyclin homology. At least one of the three is required for cell cycle START. Four B cyclins are known in yeast; two have been shown to function in mitosis. We have discovered a fifth B-cyclin gene, called CLB5, which when cloned on a CEN plasmid can rescue strains deleted for all three CLN genes. CLB5 transcript abundance peaks in G1, coincident with the CLN2 transcript but earlier than the CLB2 transcript. CLB5 deletion does not cause lethality, either alone or in combination with other CLN or CLB deletions. However, strains deleted for CLB5 require more time to complete S phase, suggesting that CLB5 promotes some step in DNA synthesis. CLB5 is the only yeast cyclin whose deletion lengthens S phase. CLB5 may also have some role in promoting the G1/S transition, because cln1 cln2 strains require both CLN3 and CLB5 for viability on glycerol media and cln1,2,3- strains require CLB5 for rescue by the Drosophila melanogaster cdc2 gene. In conjunction with cln1,2,3- rescue by CLB5 overexpression and the coincident transcriptional regulation of CLB5 and CLN2, these observations are suggestive of partial functional redundancy between CLB5 and CLN genes.

Amino Acid Sequence

Genetic pleiotropy underlying obesity and autoimmune disorders: a large-scale cross-trait gwas analysis in European ancestry populations.

BACKGROUND: Obesity and autoimmune disorders represent a significant comorbidity burden, yet their shared genetic architecture is not fully understood. Elucidating the pleiotropic genetic basis underlying both conditions is crucial for unraveling the mechanisms driving their co-occurrence and advancing therapeutic strategies. METHODS: We conducted a large-scale cross-trait analysis integrating genome-wide association study (GWAS) summary data for obesity and 17 autoimmune diseases. Genetic correlations were assessed using LD score regression and high-definition likelihood. Cross-trait pleiotropic analysis was performed using Stratified Pleiotropic Locus Mapping (PLACO) to identify shared loci, followed by Bayesian colocalization to confirm shared causal variants. Gene-level and tissue-specific heritability analyses were conducted, and drug targets were prioritized via summary-based Mendelian randomization (SMR). Finally, immune co-localization and bidirectional Mendelian randomization were employed to elucidate immunological mechanisms and causal relationships. RESULTS: Our analysis identified eight autoimmune diseases with significant genetic correlations to obesity. We discovered 10,324 pleiotropic SNPs, which mapped to 52 independent risk loci, with nine loci confirmed as shared causal variants by colocalization. Gene-level analysis revealed 133 unique pleiotropic genes, including CLN3, SH2B1, and MMEL1, enriched in pathways of hematopoietic cell differentiation and immune homeostasis. Tissue-specific heritability was most prominent in the spleen, whole blood, and EBV-transformed lymphocytes. Immuno-co-localization implicated six IgD+ CD38- %B cell-related traits as key pathological conduits. Bidirectional Mendelian randomization established a causal role of obesity in hypothyroidism, psoriasis, and multiple sclerosis, while revealing an inverse causal association of type 1 diabetes with obesity risk. CONCLUSIONS: This study demonstrates a robust shared genetic foundation between obesity and multiple autoimmune diseases, pinpointing specific pleiotropic loci, genes, and immune cell subsets. Our findings provide a mechanistic framework for their comorbidity and highlight potential targets for therapeutic intervention.

Humans