Warming of northern peatlands increases the global temperature overshoot challenge.

Meeting the Paris Agreement's temperature goals requires limiting future carbon emissions, yet current policies make temporarily overshooting the 1.5°C target likely. The potential climate feedback from destabilizing peatlands, storing large amounts of carbon, remains poorly quantified.

The Oncologist, 2025, Vol, XX, Issue XX Predictive role of ARID1A and B2M mutations and the antigen presentation pathway in the efficacy of definitive chemoradiotherapy for cervical cancer.

Background And Purpose: Definitive chemoradiotherapy (dCRT) is the standard treatment for locally advanced cervical cancer (LACC), yet patients experience considerable variability in disease-free survival (DFS). This study aimed to identify molecular biomarkers associated with response to dCRT in cervical cancer.Materials and methods: We retrospectively analyzed targeted next-generation sequencing data from tumor biopsy samples of 31 patients diagnosed with FIGO stage IIB-IVA LACC.

Inflamed Microglia like Macrophages in the Central Nervous System of Prodromal Parkinson's Disease.

We investigated the role of inflammation in the pathogenesis of prodromal Parkinson's Disease (PD), performing single-cell RNAseq analysis of cerebrospinal fluid (CSF) and blood from 111 individuals, comparing control subjects with early prodromal PD and later PD to patients with multiple sclerosis (MS). Surprisingly, we identified a pleocytosis in the CSF, most pronounced in patients with early PD. Single-cell RNAseq revealed increases in CSF-specific microglia-like macrophages expressing JAK-STAT and TNFα signaling signatures in prodromal PD, with a lack of T cell activation in the CSF.

The subfornical organ is a nucleus for gut-derived T cells that regulate behaviour.

Specialized immune cells that reside in tissues orchestrate diverse biological functions by communicating with parenchymal cells. The contribution of the innate immune compartment in the meninges and the central nervous system (CNS) is well-characterized; however, whether cells of the adaptive immune system reside in the brain and are involved in maintaining homeostasis is unclear. Here we show that the subfornical organ (SFO) of the brain is a nucleus for parenchymal αβ T cells in the steady-state brain in both mice and humans.

Gut microbiota alterations in golden snub-nosed monkeys during food shortage and parturition-nursing periods.

Adopting unique survival strategies during spring food shortages and simultaneous parturition and nursing is crucial for golden snub-nosed monkeys. Social behaviors, such as altruism within one-male units (OMUs), are decisive for family health, but the role of microbiota in regulating these behaviors remains unknown. We conducted the gut microbiota from members of 10 OMUs using 16S RNA sequencing technology.

SKA3 promotes lung adenocarcinoma progression via the EGFR/E2F1/SKA3/integrin β1 signaling loop.

Spindle and kinetochore-associated complex subunit 3 (SKA3) contributes to tumor growth and metastasis, but its specific roles have not been clearly elucidated. In this study, we found that SKA3 contributed to lung adenocarcinoma (LUAD) progression by interacting with integrin β1. The expression characteristics of SKA3 in LUAD patients were analyzed by The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) datasets and validated in 33 paired LUAD tissues by immunohistochemistry.

Comparison of High-Resolution Gridded Emission Maps of Anthropogenic Carbon Dioxide in Europe: GRACED & CAMS-REG.

Gridded maps of CO emissions are increasingly being applied in emission change analyses and atmospheric studies. In this study, we compared two high-resolution gridded estimates of anthropogenic CO emissions in Europe for 2019-2021: the near-real-time Global gridded daily CO emission data set (GRACED, latest updated version May 2024) and the Copernicus Atmosphere Monitoring Service regional inventory (CAMS-REG, v6 for 2019-2020, and v7 for 2021). Total CO emissions of the two data sets are comparable, with a 2.

Single-nucleus RNA sequencing of human periventricular white matter in vascular dementia.

Vascular dementia (VaD) refers to a variety of dementias driven by cerebrovascular disease and is the second leading cause of dementia globally. VaD may be caused by ischemic strokes, intracerebral hemorrhage, and/or cerebral small vessel disease, commonly identified as white matter hyperintensities on MRI. The mechanisms underlying these white matter lesions in the periventricular brain are poorly understood.

Decoding transcriptomic signatures of cysteine string protein alpha-mediated synapse maintenance.

Synapse maintenance is essential for generating functional circuitry, and decrement in this process is a hallmark of neurodegenerative disease. Yet, little is known about synapse maintenance in vivo. Cysteine string protein α (CSPα), encoded by the gene, is a synaptic vesicle chaperone that is necessary for synapse maintenance and linked to neurodegeneration.

Chemoradiotherapy-induced ACKR2 tumor cells drive CD8 T cell senescence and cervical cancer recurrence.

Tumor recurrence after chemoradiotherapy is challenging to overcome, and approaches to predict the recurrence remain elusive. Here, human cervical cancer tissues before and after concurrent chemoradiotherapy (CCRT) analyzed by single-cell RNA sequencing reveal that CCRT specifically promotes CD8 T cell senescence, driven by atypical chemokine receptor 2 (ACKR2) CCRT-resistant tumor cells. Mechanistically, ACKR2 expression is increased in response to CCRT and is also upregulated through the ligation of CC chemokines that are produced by activated myeloid and T cells.

Exploring Appropriate Reference Intervals and Clinical Decision Limits for Glucose-6-Phosphate Dehydrogenase Activity in Individuals From Guangzhou, China.

Background: Quantitative detection of glucose-6-phosphate dehydrogenase (G6PD) is commonly done to screen for G6PD deficiency. However, current reference intervals (RIs) of G6PD are unsuitable for evaluating G6PD-activity levels with local populations or associating variants with hemolysis risk to aid clinical decision-making. We explored appropriate RIs and clinical decision limits (CDLs) for G6PD activity in individuals from Guangzhou, China.

Complete Mitochondrial Genome and Phylogenetic Analysis of (Aves: Passeriformes: Muscicapidae).

(Vieillot, 1817), the White-browed Bush Robin, is a small passerine bird widely distributed in Asian countries. Here, we successfully sequenced its mitogenome using the Illumina Novaseq 6000 platform (Illumina, San Diego, CA, USA) for PE 2 × 150 bp sequencing. Combined with other published mitogenomes, we conducted the first comprehensive comparative mitogenome analysis of Muscicapidae birds and reconstructed the phylogenetic relationships between Muscicapidae and related groups.

scNAT: a deep learning method for integrating paired single-cell RNA and T cell receptor sequencing profiles.

Many deep learning-based methods have been proposed to handle complex single-cell data. Deep learning approaches may also prove useful to jointly analyze single-cell RNA sequencing (scRNA-seq) and single-cell T cell receptor sequencing (scTCR-seq) data for novel discoveries. We developed scNAT, a deep learning method that integrates paired scRNA-seq and scTCR-seq data to represent data in a unified latent space for downstream analysis.

Decoding transcriptomic signatures of Cysteine String Protein alpha-mediated synapse maintenance.

Synapse maintenance is essential for generating functional circuitry and decrement in this process is a hallmark of neurodegenerative disease. While we are beginning to understand the basis of synapse formation, much less is known about synapse maintenance . Cysteine string protein α (CSPα), encoded by the gene, is a synaptic vesicle chaperone that is necessary for synapse maintenance and linked to neurodegeneration.

A statistical framework to identify cell types whose genetically regulated proportions are associated with complex diseases.

Finding disease-relevant tissues and cell types can facilitate the identification and investigation of functional genes and variants. In particular, cell type proportions can serve as potential disease predictive biomarkers. In this manuscript, we introduce a novel statistical framework, cell-type Wide Association Study (cWAS), that integrates genetic data with transcriptomics data to identify cell types whose genetically regulated proportions (GRPs) are disease/trait-associated.

An open protocol for modeling T Cell Clonotype repertoires using TCRβ CDR3 sequences.

T cell receptor repertoires can be profiled using next generation sequencing (NGS) to measure and monitor adaptive dynamical changes in response to disease and other perturbations. Genomic DNA-based bulk sequencing is cost-effective but necessitates multiplex target amplification using multiple primer pairs with highly variable amplification efficiencies. Here, we utilize an equimolar primer mixture and propose a single statistical normalization step that efficiently corrects for amplification bias post sequencing.

Carbon Monitor Europe near-real-time daily CO emissions for 27 EU countries and the United Kingdom.

With the urgent need to implement the EU countries pledges and to monitor the effectiveness of Green Deal plan, Monitoring Reporting and Verification tools are needed to track how emissions are changing for all the sectors. Current official inventories only provide annual estimates of national CO emissions with a lag of 1+ year which do not capture the variations of emissions due to recent shocks including COVID lockdowns and economic rebounds, war in Ukraine. Here we present a near-real-time country-level dataset of daily fossil fuel and cement emissions from January 2019 through December 2021 for 27 EU countries and UK, which called Carbon Monitor Europe.

CarbonMonitor-Power near-real-time monitoring of global power generation on hourly to daily scales.

We constructed a frequently updated, near-real-time global power generation dataset: CarbonMonitor-Power since January, 2016 at national levels with near-global coverage and hourly-to-daily time resolution. The data presented here are collected from 37 countries across all continents for eight source groups, including three types of fossil sources (coal, gas, and oil), nuclear energy and four groups of renewable energy sources (solar energy, wind energy, hydro energy and other renewables including biomass, geothermal, etc.).

An open protocol for modeling T Cell Clonotype repertoires using TCRβ CDR3 sequences.

T cell receptor repertoires can be profiled using next generation sequencing (NGS) to measure and monitor adaptive dynamical changes in response to disease and other perturbations. Genomic DNA-based bulk sequencing is cost-effective but necessitates multiplex target amplification using multiple primer pairs with highly variable amplification efficiencies. Here, we utilize an equimolar primer mixture and propose a single statistical normalization step that efficiently corrects for amplification bias post sequencing.

Shift in the Mode of Carbon Cycling Recorded by Biomarkers and Carbon Isotopic Compositions in the Yanchang Formation, Ordos Basin: Autotrophy vs Heterotrophy.

Organic-rich shales and mudstones have long been investigated regarding the control of source, environment, climate, etc. on the enrichment of organic carbon. However, little is documented about how autotrophy and heterotrophy influence organic carbon cycling/export.

Near-real-time global gridded daily CO2 emissions 2021.

We present a near-real-time global gridded daily CO emissions dataset (GRACED) throughout 2021. GRACED provides gridded CO emissions at a 0.1° × 0.

Near-real-time daily estimates of fossil fuel CO emissions from major high-emission cities in China.

Cities in China are on the frontline of low-carbon transition which requires monitoring city-level emissions with low-latency to support timely climate actions. Most existing CO emission inventories lag reality by more than one year and only provide annual totals. To improve the timeliness and temporal resolution of city-level emission inventories, we present Carbon Monitor Cities-China (CMCC), a near-real-time dataset of daily CO emissions from fossil fuel and cement production for 48 major high-emission cities in China.

Carbon Monitor Cities near-real-time daily estimates of CO emissions from 1500 cities worldwide.

Building on near-real-time and spatially explicit estimates of daily carbon dioxide (CO) emissions, here we present and analyze a new city-level dataset of fossil fuel and cement emissions, Carbon Monitor Cities, which provides daily estimates of emissions from January 2019 through December 2021 for 1500 cities in 46 countries, and disaggregates five sectors: power generation, residential (buildings), industry, ground transportation, and aviation. The goal of this dataset is to improve the timeliness and temporal resolution of city-level emission inventories and includes estimates for both functional urban areas and city administrative areas that are consistent with global and regional totals. Comparisons with other datasets (i.