Transcriptomic Landscape Research Articles

Decoding Acute Myeloid Leukemia: A Clinician’s Guide to Functional Profiling

Acute myeloid leukemia (AML) is a complex clonal disorder characterized by clinical, genetic, metabolomic, and epigenetic heterogeneity resulting in the uncontrolled proliferation of aberrant blood-forming precursor cells. Despite advancements in the understanding of the genetic, metabolic, and epigenetic landscape of AML, it remains a significant therapeutic challenge. Functional profiling techniques, such as BH3 profiling (BP), gene expression profiling (GEP), proteomics, metabolomics, drug sensitivity/resistance testing (DSRT), CRISPR/Cas9, and RNAi screens offer valuable insights into the functional behavior of leukemia cells. BP evaluates the mitochondrial response to pro-apoptotic BH3 peptides, determining a cell’s apoptotic threshold and its reliance on specific anti-apoptotic proteins. This knowledge can pinpoint vulnerabilities in the mitochondria-mediated apoptotic pathway in leukemia cells, potentially informing treatment strategies and predicting therapeutic responses. GEP, particularly RNA sequencing, evaluates the transcriptomic landscape and identifies gene expression alterations specific to AML subtypes. Proteomics and metabolomics, utilizing mass spectrometry and nuclear magnetic resonance (NMR), provide a detailed view of the active proteins and metabolic pathways in leukemia cells. DSRT involves exposing leukemia cells to a panel of chemotherapeutic and targeted agents to assess their sensitivity or resistance profiles and potentially guide personalized treatment strategies. CRISPR/Cas9 and RNAi screens enable systematic disruption of genes to ascertain their roles in leukemia cell survival and proliferation. These techniques facilitate precise disease subtyping, uncover novel biomarkers and therapeutic targets, and provide a deeper understanding of drug-resistance mechanisms. Recent studies utilizing functional profiling have identified specific mutations and gene signatures associated with aggressive AML subtypes, aberrant signaling pathways, and potential opportunities for drug repurposing. The integration of multi-omics approaches, advances in single-cell sequencing, and artificial intelligence is expected to refine the precision of functional profiling and ultimately improve patient outcomes in AML. This review highlights the diverse landscape of functional profiling methods and emphasizes their respective advantages and limitations. It highlights select successes in how these methods have further advanced our understanding of AML biology, identifies druggable targets that have improved outcomes, delineates challenges associated with these techniques, and provides a prospective view of the future where these techniques are likely to be increasingly incorporated into the routine care of patients with AML.

Transcriptome profiling uncovers differentially expressed genes linked to nutritional quality in vegetable soybean

Vegetative soybean (maodou or edamame) serves as a nutrient-rich food source with significant potential for mitigating global nutritional deficiencies. This study undertook a thorough examination of the nutritional profiles and transcriptomic landscapes of six soybean cultivars, including three common cultivars (Heinong551, Heinong562, and Heinong63) and three fresh maodou cultivars (Heinong527, HeinongXS4, and HeinongXS5). Nutrient analysis of the seeds disclosed notable differences in the levels of protein, fat, soluble sugars, vitamin E, calcium, potassium, magnesium, manganese, iron, and zinc across the cultivars. Through comparative transcriptome profiling and RNA sequencing, distinct variations in differentially expressed genes (DEGs) were identified between fresh and traditional maodou cultivars. Functional enrichment analyses underscored the involvement of DEGs in critical biological processes, such as nutrient biosynthesis, seed development, and stress responses. Additionally, association studies demonstrated robust correlations between specific DEG expression patterns and seed nutrient compositions across the different cultivars. Sankey diagrams illustrated that DEGs are strongly linked with seed quality traits, revealing potential molecular determinants that govern variations in nutritional content. The identified DEGs and their relationships with nutritional profiles offer valuable insights for breeding programs focused on developing cultivars with improved nutritional quality, tailored to specific dietary needs or industrial applications.

Comparative meta-analysis of transcriptomic studies in spinal muscular atrophy: comparison between tissues and mouse models

Abstract Background Spinal Muscular Atrophy (SMA), a neuromuscular disorder that leads to weakness in the muscles due to degeneration of motor neurons. Mutations in the survival motor neuron 1 (SMN1) gene leads to the deficiency of SMN protein that causes SMA. The molecular alterations associated with SMA extends across the transcriptome and proteome. Although several studies have examined the transcriptomic profile of SMA, the difference in experimental settings across these studies highlight the need for a comparative meta-analysis to better understand these differences. Methods and data We conducted a systematic comparative meta-analysis of publicly available gene expression data from six selected studies to elucidate variations in the transcriptomic landscape across different experimental conditions, including tissue types and mouse models. We used both microarray and RNA-seq datasets, retrieved from Gene Expression Omnibus (GEO) and ArrayExpress (AE). Methods included normalization, differential expression analysis, gene-set enrichment analysis (GSEA), network reconstruction and co-expression analysis. Results Differential expression analysis revealed varying numbers of differentially expressed genes ranging between zero and 1,655 across the selected studies. Notably, the Metallothionein gene Mt2 was common in several of the eight comparisons. This highlights its role in oxidative stress and detoxification. Additionally, genes such as Hspb1, St14 and Sult1a1 were among the top ten differentially expressed genes in more than one comparison. The Snrpa1 gene, involved in pre-mRNA splicing, was upregulated in the spinal cord and has a strong correlation with other differentially expressed genes from other comparisons in our network reconstruction analysis. Gene-set enrichment analysis identified significant GO terms such as contractile fibers and myosin complexes in more than one comparison which highlights its significant role in SMA. Conclusions Our comparative meta-analysis identified only few genes and pathways that were consistently dysregulated in SMA across different tissues and experimental settings. Conversely, many genes and pathways appeared to play a tissue-specific role in SMA. In comparison with the original studies, reproducibility was rather weak.

EPCO-42. SINGLE-CELL MULTIOMIC ANALYSIS OF BRAIN METASTASES ACROSS MULTIPLE PRIMARY TUMOR TYPES

Abstract Brain metastases are the most common form of intracranial tumor in adults, however the prognosis remains dismal due to lack of effective treatments and limited understanding of the underlying physiology allowing them to thrive in the foreign cell type environment of the brain. Here we characterized the transcriptomic and epigenomic landscape of 35 human brain metastases obtained from surgical resection using combined scRNA-seq and ATAC-seq spanning the most prevalent primary tumor types including lung adenocarcinoma (n=16), melanoma (n=14), breast (n=10), and renal cell carcinoma (n=6). Varying molecular subtypes across primary tumors were included allowing for a comprehensive analysis between and within primary tumor types. Approximately 200,000 cells total were profiled to a sequencing depth of 50,000 mean reads per cell with 2,500 median genes per cell. ATAC-seq libraries were sequenced to a depth of 25,000 reads per cell with 10-15,000 median fragments per cell. Unbiased clustering and integrated analysis identified various cell types within the tumor, immune microenvironment, and normal brain tissue. Tumor cell identities were confirmed throughout multiple clusters via inferred copy number alteration analyses. Integration with primary tumor atlases highlight differences between cell states of primary and metastatic tumors, revealing shifts of enhancer function in transcriptional regulation of metastatic cells. Overall, our findings describe the genetic and epigenetic states of metastatic cells contributing to the understanding of CNS metastatic colonization.

CCRG-02. MICRORNA TARGETING LOGIC IN DIRECT NEURONAL REPROGRAMMING OF GLIOBLASTOMA

Abstract microRNA (miR)-124 is one of the main drivers of mitotic exit during neurogenesis, which is recapitulated in miR-9/9* and -124 (miR-9/9*-124)-mediated direct neuronal reprogramming. In the reprogramming of various cell types, miR-9/9*-124 induce non-neuronal cell fate erasure before activating the neuronal program. Regardless of the different starting transcriptome landscapes, a core gene regulatory network (GRN) is always targeted by miR-9/9*-124, with cell cycle progression as the most significant pathway. We reason that miR-9/9*-124 can induce cell fate erasure in cancerous cells by repressing similar GRNs, using glioblastoma multiforme (GBM) as a paradigm. Mechanistic insights into GBM fate erasure by miR-9/9*-124 while inducing the postmitotic state would facilitate the understanding of GRNs that govern the tumorigenic identity of GBMs and potentially offer novel therapeutic implications. Indeed, miR-9/9*-124 readily induces mitotic exit in patient-derived GBM cell lines, represses GBM cell fates, and promotes neuronal identity over time as assessed by RNA-seq. Mice receiving GBM intracerebral xenografts with miR-9/9*-124 survived significantly longer than those receiving non-specific control miRNA. Global profiling of miRNA targeting activity by AGO2-eCLIP reveals that miR-124 binds to transcripts enriched in G1/S transition and mitogen response. Conversely, miR-506—a miR-124 homolog—despite of sharing identical seed sequences, has significantly less targeting activity and fails to stop cell cycle progression. We are currently dissecting how the difference in the miRNA 3’ sequence renders contrasting biological outcomes. Preliminary data suggests that the length of miRNA alone alters targeting specificity to cell cycle transcripts. However, different permutations of miRNA 3’ sequence, though sufficient to induce mitotic exit, are not all competent to achieve neuronal reprogramming, indicating that mitotic exit and neurogenic activities of miR-124 could be decoupled. We hope that understanding the grammar logic of miRNA targeting would provide deeper insights into how miRNAs can be leveraged to manipulate GBM identity.

Single-cell transcriptomic and cross-species comparison analyses reveal distinct molecular changes of porcine testes during puberty

The pig is an important model for studying human diseases and is also a significant livestock species, yet its testicular development remains underexplored. Here, we employ single-cell RNA sequencing to characterize the transcriptomic landscapes across multiple developmental stages of Bama pig testes from fetal stage through infancy, puberty to adulthood, and made comparisons with those of humans and mice. We reveal an exceptionally early onset of porcine meiosis shortly after birth, and identify a distinct subtype of porcine spermatogonia resembling transcriptome state 0 spermatogonial stem cells identified in humans, which were previously thought to be primate specific. We also discover the persistent presence of proliferating progenitors for myoid cells in postnatal testes. The regulatory roles of Leydig cell steroidogenesis and estrogen synthesis in supporting cell lineages are also explored, including the potential impact of estrogen on Sertoli cell maturation and spermatogenesis. Overall, this study offers valuable insights into porcine testicular development, paving the way for future research in reproductive biology, advancements in agricultural breeding, and potential applications in translational medicine.

Evolutionary Characteristics in Primary Aldosteronism Patients.

Primary aldosteronism is predominantly caused by excessive aldosterone production from the adrenal cortex, and the aldosterone-producing structures could take many forms, like adenomas, nodules, micronodules, and so on. Most studies of primary aldosteronism were limited to the hotspot driver genes responsible for autonomous aldosterone production; however, the panoramic genetic architecture and genomic alterations of aldosterone-producing structures and their adjacent hyperplasia glands remain unknown. In this study, whole-exome sequencing and transcriptome sequencing (RNA-seq) analyses were performed using functional nodules and matched hyperplasia tissues, which were microdissected guided by aldosterone synthase immunohistochemistry. Phylogenetic trees were constructed based on the shared and unique mutations, gene mutation spectrums, and clonal characteristics. The rates of mutations represented higher means of functional nodules than hyperplasia samples, and the little mutational overlap was shown between the 2 groups on phylogenetic trees. The mutations of the aldosterone driver gene (KCNJ5 or CACNA1D) were only observed in functional nodules and indicated almost the largest values of cancer cell fraction. Moreover, the functional nodules also harbored some potential variants related to cell proliferation, which were not detected in hyperplasia tissues. Transcriptome analysis suggested that only 25.5% upregulated and 23.3% downregulated genes overlapped between functional nodules and hyperplasia tissues. This study demonstrated a genetic and transcriptome landscape of aldosterone-producing structures and adjacent hyperplasia glands in primary aldosteronism. The results indicated independent clonal origins on functional nodules and hyperplasia tissues, and little mutual evolutionary relationship was found on their phylogenetic trees.

Transcriptomic profiling of 'Candidatus Liberibacter asiaticus' in different citrus tissues reveals novel insights into Huanglongbing pathogenesis.

'Candidatus Liberibacter asiaticus' (Las) is a gram-negative bacterial pathogen associated with citrus huanglongbing (HLB) or greening disease. Las is transmitted by the Asian citrus psyllid (ACP) where it colonizes the phloem tissue, resulting in substantial economic losses to citrus industry worldwide. Despite extensive efforts, effective management strategies against HLB remain elusive, necessitating a deeper understanding of the pathogen's biology. Las undergoes cell-to-cell movement through phloem flow and colonizes different tissues in which Las may have varying interactions with the host. Here, we investigate the transcriptomic landscape of Las in citrus seed coat vasculatures, enabling a complete gene expression profiling of Las genome and revealing unique transcriptomic patterns compared to previous studies using midrib tissues. Comparative transcriptomics between seed coat, midrib and ACP identified specific responses and metabolic states of Las in different host tissue. Two Las virulence factors that exhibit higher expression in seed coat can suppress callose deposition. Therefore, they may contribute to unclogging sieve plate pores during Las colonization in seed coat vasculature. Furthermore, analysis of regulatory elements uncovers a potential role of LuxR-type transcription factors in regulating Liberibacter effector gene expression during plant colonization. Together, this work provides novel insights into the pathogenesis of the devastating citrus HLB.

Genomic and transcriptomic landscape of human gastrointestinal stromal tumors

Gastrointestinal stromal tumor (GISTs) are clinically heterogenous exhibiting varying degrees of disease aggressiveness in individual patients. We comprehensively describe the genomic and transcriptomic landscape of a cohort of 117 GISTs including 31 low-risk, 18 intermediate-risk, 29 high-risk, 34 metastatic and 5 neoadjuvant GISTs from 105 patients. GISTs have notably low tumor mutation burden but widespread copy number variations. Aggressive GISTs harbor remarkably more genomic aberrations than low-/intermediate-risk GISTs. Complex genomic alterations, chromothripsis and kataegis, occur selectively in aggressive GISTs. Despite the paucity of mutations, recurrent inactivating YLPM1 mutations are identified (10.3%, 7 of 68 patients), enriched in high-risk/metastatic GIST and functional study further demonstrates YLPM1 inactivation promotes GIST proliferation, growth and oxidative phosphorylation. Spatially and temporally separated GISTs from individual patients demonstrate complex tumor heterogeneity in metastatic GISTs. Finally, four prominent subtypes are proposed with different genomic features, expression profiles, immune characteristics, clinical characteristics and subtype-specific treatment strategies. This large-scale analysis depicts the landscape and provides further insights into GIST pathogenesis and precise treatment.

Driver mutations associated with signatures of platinum sensitivity in germ cell tumors

We sought to evaluate the genomic and transcriptomic landscapes in primary and metastatic germ cell tumors (GCTs; N = 138) to uncover factors that drive cisplatin resistance. Prevalence was calculated for platinum-resistant alterations (PRAs; KRAS, TP53, and KIT mutations, and MDM2 amplification) and high copy number amplifications (CNA ≥ 6 copies). Tumors were designated as chemo-naïve (PreC, N = 66) or post-chemotherapy (PostC, N = 17). A transcriptomic signature associated with platinum sensitivity (PSS, high suggests increased sensitivity) was applied. KIT mutations were observed in 14.5% of primary versus 1.8% of met and 0% of lymph. TP53 mutations were identified in 10% of primary GCTs versus 17% of met and 16.7% of lymph. MDM2 CNAs were similar between sites. PRA-positive PreC GCTs had significantly lower average PSS scores compared to PRA-negative tumors. Lower PSS scores in chemo-naïve tumors were associated with PRAs, suggesting a potential mechanism for platinum resistance.

Microplastics exacerbate tissue damage and promote carcinogenesis following liver infection in mice

Cancer is a leading cause of death worldwide, posing a substantial threat to human well-being. Microplastics (MPs) exposure can harm human health and the carcinogenicity of MP remains uncertain. In this study, we investigated carcinogenesis by MPs exposure. We observed MP significantly exacerbated hepatic injury in infectious conditions. In addition, cancer-related p53 and p21 signals are activated by MPs. Analysis of the liver transcriptomic landscape uncovered a noteworthy intensification of the carcinogenesis pathway by MPs compared with pre-infection. The transcription factor SALL2 could act as an oncogenic promoter in the promotion of cancer regulated by MPs. Further, big data analysis presents the correlation between MPs pollution and human hepatocellular carcinoma. This work revealed a toxic amplification effect of the non-bioactive MPs on the bioactive pathogens. This finding provides new insight into understanding the potential toxicity of the MPs.

Spatial transcriptomic landscape unveils immunoglobin-associated senescence as a hallmark of aging.

To systematically characterize the loss of tissue integrity and organ dysfunction resulting from aging, we produced an in-depth spatial transcriptomic profile of nine tissues in male mice during aging. We showed that senescence-sensitive spots (SSSs) colocalized with elevated entropy in organizational structure and that the aggregation of immunoglobulin-expressing cells is a characteristic feature of the microenvironment surrounding SSSs. Immunoglobulin G (IgG) accumulated across the aged tissues in both male and female mice, and a similar phenomenon was observed in human tissues, suggesting the potential of the abnormal elevation of immunoglobulins as an evolutionarily conserved feature in aging. Furthermore, we observed that IgG could induce a pro-senescent state in macrophages and microglia, thereby exacerbating tissue aging, and that targeted reduction of IgG mitigated aging across various tissues in male mice. This study provides a high-resolution spatial depiction of aging and indicates the pivotal role of immunoglobulin-associated senescence during the aging process.

Single-cell transcriptomic analysis reveals the commonality of immune response upon H1N1 influenza virus infection in mice and humans

Seasonal influenza A virus (IAV), particularly the H1N1 subtype, poses a significant public health threat because of its substantial morbidity and mortality rates worldwide. Understanding the immune response to H1N1 is crucial for developing effective treatments and vaccines. In this study, we deciphered the single-cell transcriptomic landscape of peripheral blood mononuclear cells (PBMCs) from H1N1-infected humans and lung tissue samples from H1N1-infected mice by mining HIN1-related single-cell RNA sequencing data from the GEO database. We observed similar changes in immune cell composition following H1N1 infection, with an increase in macrophages but a decrease in T cells in both species. Moreover, significant transcriptional changes in bystander immune cells upon H1N1 infection were identified, with the upregulation of the chemokine CCL2 in human PBMCs and increased expression of interferon-stimulated genes such as Ifit3, Ifit1 and Isg15 in mouse pulmonary immune cells. Intercellular cross-talk analysis highlighted enhanced interactions among bystander immune cells during H1N1 infection, with neutrophils in humans and macrophages in mice showing the most remarkable increases in interaction intensity. Transcription factor analysis revealed the conserved upregulation of key antiviral regulons, including STAT1 and IRF7, in T cells across both species, highlighting their pivotal roles in antiviral defense. These results suggest that humans and mice exhibit common immune responses to H1N1 infection, underscoring the similarity of vital immune mechanisms across species. The conserved immune mechanisms identified in this study provide potential therapeutic targets for enhancing antiviral immunity. Our research underscores the importance of understanding species-specific and conserved immune responses to H1N1 and offers insights that could inform the development of novel antiviral therapies and improve clinical outcomes for individuals affected by influenza.

Coexpression Regulation of New and Ancient Genes in the Dynamic Transcriptome Landscape of Stem and Rhizome Development in "Bainianzhe"-An Ancient Chinese Sugarcane Variety Ratooned for Nearly 300 Years.

The sucrose yield in sugarcane largely depends on stem morphology, including length, diameter and sugar content, making sugarcane stem a key trait in breeding. The "Bainianzhe" variety from Songxi County, Fujian Province, possesses both aerial stems and rhizomes, providing a unique model for studying stem development. We performed a spatiotemporal transcriptomic analysis of the base, middle and apical sections of both aerial stems and rhizomes. The analysis categorized transcriptomes by developmental stage-base, middle and apical-rather than environmental differences. Apical segments were enriched with genes related to cell proliferation, while base segments were linked to senescence and fibrosis. Gene regulatory networks revealed key TFs involved in stem development. Orphan genes may be involved in rhizome development through coexpression networks. Plant hormones, especially genes involved in ABA and GAs synthesis, were highly expressed in rhizomes. Thiamine-related genes were also more prevalent in rhizomes. Furthermore, the apical segments of rhizomes enriched in photosynthesis-related genes suggest adaptations to light exposure. Low average temperatures in Songxi have led to unique cold acclimation in Bainianzhe, with rhizomes showing higher expression of genes linked to unsaturated fatty acid synthesis and cold-responsive calcium signalling. This indicates that rhizomes may have enhanced cold tolerance, aiding in the plant's overwintering success.

Single-Cell Analysis Reveals the Cellular and Molecular Changes of Liver Injury and Fibrosis in Mice During the Progression of Schistosoma japonicum Infection

Schistosomiasis is a parasitic disease that poses a serious threat to human health. However, the pathogenic mechanism during the progression of Schistosoma japonicum infection remains unclear. In order to elucidate this mechanism, we used single-cell RNA sequencing (scRNA-seq) to investigate the transcriptome characteristics of the cellular (single-cell) landscape in the livers of mice infected with Schistosoma japonicum, which were divided into three groups: uninfected mice (0 week (w)), infected mice at 6 w post-infection (the acute phase), and infected mice at 10 w post-infection (the chronic phase). A total of 31,847 liver cells were included and clustered into 21 groups. The cells and T-cells had high heterogeneity in the liver during the progression of schistosome infection. The number and intensity of the intercellular interactions significantly increased at 6 w after infection but decreased at 10 w. The inflammatory signaling pathways chemoattractant cytokine ligand (CCL)5-chemokine C-C-motif receptor (CCR)5 between macrophages and T-cells were predominant at 6 w post-infection; the CCL6-CCR2 signaling pathway between macrophages was predominant at 10 w. The CD80 signaling pathway related to T-cell activation was increased at 6 w after infection, and increased expression of its receptor CD28 on the surfaces of CD4+ and CD8+ T-cells was confirmed by flow cytometry, suggesting an increase in their activation. In addition, scRNA-seq and quantitative reverse transcription polymerase chain reaction (qRT-PCR) confirmed that the intercellular communication between secretory phosphoprotein 1 (SPP1)-cluster of differentiation (CD44), insulin-like growth factor (IGF)-1-IGF1r and visfatin-insulin receptor (Insr) associated with bone metabolism and insulin metabolism was increased and enhanced in the liver at 6 w post-infection. Overall, we provide the comprehensive single-cell transcriptome landscape of the liver in mice during the progression of schistosome infection and delineate the key cellular and molecular events involved in schistosome infection-induced liver injury and fibrosis. The elevated CCL5-CCR5 and CCL6-CCR2 signaling pathways in the liver may be a drug target for liver injury and fibrosis caused by schistosome infection, respectively.

Transcriptomic landscape identifies two unrecognized ependymoma subtypes and novel pathways in medulloblastoma.

A landscape built using only Transcriptomic analysis for medulloblastoma and ependymoma reveals novel insights about subtype specific biology.

Microbial and Transcriptomic Landscape Associated With Neutrophil Extracellular Traps in Perianal Fistulizing Crohn's Disease.

Perianal fistulizing Crohn's disease (pfCD) poses significant healing challenges, closely associated with neutrophil extracellular traps (NETs). This study aimed to investigate the microbe-host interactions influencing NETs in pfCD. From January 2019 to July 2022, patients with pfCD were screened at Ren Ji Hospital. Patients in remission following comprehensive treatment were recruited. We documented clinical characteristics, medication regimens, healing outcomes, and infliximab levels in fistula tissues. NET positivity was confirmed by positive results in citrullinated histone H3 (CitH3) enzyme-linked immunosorbent assay (ELISA) and dual immunofluorescence staining for myeloperoxidase and CitH3. Microbial and transcriptomic profiles from fistula tissues, obtained during surgery, were analyzed using 16S rRNA gene sequencing and RNA sequencing. Differences in microbiome and transcriptomic profiles were evaluated, and their relationships were assessed using Mantel's and Spearman's coefficients. Significant differences in microbial communities were found between groups (P = .007). Representatively differential microbes such as Prevotella bivia, Streptococcus gordonii, and Bacteroides dorei were enriched in NETs-positive fistulas (P < .05). Functional analysis of microbes revealed reduced ubiquinol biosynthesis and butanoate production in NETs-negative fistulas (P < .05). Transcriptomic analysis indicated increased neutrophil and monocyte infiltration in NETs-positive fistulas, associated with pathways involving bacterial response, neutrophil chemotaxis, secretory processes, and peptidase activity (P < .05). Species prevalent in NETs-positive fistulas correlated positively with immune responses and wound healing pathways, whereas bacteria in NETs-negative fistulas correlated negatively. NETs were negatively associated with tissue infliximab levels (P = .001) and healing outcomes (P = .025). Our findings reveal unique microbial and transcriptomic signatures associated with NETs in pfCD, highlighting their profound influence on clinical outcomes.

HCV- and HBV-mediated liver cancer converge on similar transcriptomic landscapes and immune profiles

Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related deaths worldwide, and a large proportion is attributable to viral causes, including hepatitis B (HBV) and C viruses (HCV). The pathogenesis of viral-mediated HCC can differ between HBV and HCV, but it is unclear how much these differences influence the tumors' final molecular and immune profiles. Additionally, there are known sex differences in the molecular etiology of HCC, but sex differences have not been explored in the context of viral-mediated HCC. To determine the extent to which the viral status and sex impact the molecular and immune profiles of HCC, we performed differential expression and immune cell deconvolution analyses. We identified a large number of differentially expressed genes unique to the HBV or HCV tumor:tumor-adjacent comparison. Pathway enrichment analyses demonstrated that changes unique to the HCV tumor:tumor-adjacent tissue were dominated by changes in immune pathways. Immune cell deconvolution demonstrated that HCV tumor-adjacent tissue had the largest immune cell infiltrate, with no difference in the immune profiles within HBV and HCV tumor samples. Overall, this work demonstrates the convergence of HBV- and HCV-mediated HCC on a similar transcriptomic landscape and immune profile despite differences in the surrounding tissue.

Dissecting the temporal genetic networks programming soybean embryo development from embryonic morphogenesis to post-germination

Key messageDesiccation-stage transcription factors perform similar functions, with early ones focused on desiccation tolerance and later ones on development. Gene networks governing late embryo development diverge between soybean and Arabidopsis.To understand gene activities programming seed embryo development, we profiled the soybean embryo transcriptome across embryonic morphogenesis through post-germination. Transcriptomic landscapes across embryo development feature highly prevalent transcripts, categorized into early and late groups, with shared and distinct functions. During the mid-storage reserve accumulation stage, the upregulated genes are enriched with regulatory tasks at both the transcriptional and chromatin levels, including DNA methylation and chromatin remodeling. The epigenetic-related functions also dominate in the upregulated genes during germination, involving core histone variants and histone chaperones. Gene network analysis reveals both stage-specific modules and modules active across multiple stages. The desiccation-associated gene module integrates diverse transcription factors (TFs) that are sequentially active during different desiccation stages, transitioning from abiotic stress functions early on to developmental functions later. Two TFs, active during the early and mid-desiccation stages were functionally assessed in Arabidopsis overexpression lines to uncover their potential roles in desiccation processes. Interestingly, nearly half of the Arabidopsis orthologs of soybean TFs active in the desiccation-associated module are inactive during Arabidopsis desiccation. Our results reveal that chromatin and transcriptional regulation coordinate during mid-storage reserve accumulation, while distinct epigenetic mechanisms drive germination. Additionally, gene modules either perform stage-specific functions or are required across multiple stages, and gene networks during late embryogenesis diverge between soybean and Arabidopsis. Our studies provide new information on the biological processes and gene networks underlying development from embryonic morphogenesis to post-germination.

Gene signatures for cancer research: A 25-year retrospective and future avenues.

Over the past two decades, extensive studies, particularly in cancer analysis through large datasets like The Cancer Genome Atlas (TCGA), have aimed at improving patient therapies and precision medicine. However, limited overlap and inconsistencies among gene signatures across different cohorts pose challenges. The dynamic nature of the transcriptome, encompassing diverse RNA species and functional complexities at gene and isoform levels, introduces intricacies, and current gene signatures face reproducibility issues due to the unique transcriptomic landscape of each patient. In this context, discrepancies arising from diverse sequencing technologies, data analysis algorithms, and software tools further hinder consistency. While careful experimental design, analytical strategies, and standardized protocols could enhance reproducibility, future prospects lie in multiomics data integration, machine learning techniques, open science practices, and collaborative efforts. Standardized metrics, quality control measures, and advancements in single-cell RNA-seq will contribute to unbiased gene signature identification. In this perspective article, we outline some thoughts and insights addressing challenges, standardized practices, and advanced methodologies enhancing the reliability of gene signatures in disease transcriptomic research.