Find research datasets worth reusing

opencc-by-4.0Dec 2021View details →

Supplementary data for "Effect of Human Disturbance on Bird Telomere Length: An Experimental Approach"

Abstract Human recreational activities increase worldwide in space and frequency leading to higher rates of encounter between humans and wild animals. Because wildlife often perceive humans as predators, this increase in human disturbance may have negative consequences for the individuals and also for the viability of populations. Up to now, experiments on the effects of human disturbance on wildlife have mainly focused on individual behavioral and stress-physiological reactions, on breeding success, and on survival. However, the effects on other physiological parameters and trans-generational effects remain poorly understood. We used a low-intensity experimental disturbance in the field to explore the impacts of human disturbance on telomere length in great tit (Parus major) populations and found a clear effect of disturbance on telomere length. Adult males, but not females, in disturbed plots showed shorter telomere lengths when compared to control plot. Moreover, variation in telomere length of adult great tits was reflected in the next generation, as we found a positive correlation between telomere length of the chicks and of their fathers. Given that telomere length has been linked to animal lifespan, our study highlights that activities considered to be of little concern (i.e., low levels of disturbance) can have a long-lasting impact on the physiology and survival of wild animals and their next generation.

opencc-by-4.0Dec 2021View details →

Lizards from warm and declining populations are born with extremely short telomeres

These two datasets report the information at the populational ("Population_Biogeography2017-2018.csv") and individual ("Telomere_Zootocavivipara_2015-2017.csv") levels. At populational level, we studied the covariation of multiple biogeographic measures to obtain an integrative index of population extinction risk. At individual level, we examined what factors best explained the variation in lizard telomere length. We also uploaded the R code ("DataAnalysis_Telomerelizards_AndreazDupoue.R") used to analyse these data, in which we detailed all variables.

opencc-by-4.0Mar 2018View details →

Data archive for Pepper, Bateson and Nettle, 'Telomeres as integrative markers of exposure to stress and adversity: A systematic review and meta-analysis'

Data archive for the paper 'Telomeres as integrative markers of exposure to stress and adversity: A systematic review and meta-analysis' by Gillian Pepper, Melissa Bateson and Daniel Nettle. This version was uploaded in July 2018 after peer-review in the journal Royal Society Open Science. Compared to earlier version, it incorporates some minor error correction to the dataset, and reflects the revised analyses we performed after peer review.  Our protocol and recording guide, which were preregistered on the Open Science Framework in 2016, are also included here, as is our PRISMA diagram. The data file 'unprocessed data' contains the data as extracted from the literature, with associations shown both as provided in the original papers, and converted to correlation coefficients. The algorithms for converting all the different associations to correlation coefficients are described in the flowchart and implemented in the R script 'effect conversion algorithms.r'. The data file 'processed data.csv' is the dataset analysed in the paper. Compared to 'unprocessed data.csv', it excludes: associations from studies of non-human animals; duplicate associations; a small number of associations from studies of medical treatments; and associations considered subparts or subscales of other associations. These exclusions are outlined in Methods section of the paper. In addition, in the processed data file, all correlations are aligned in direction so as to make them comparable (variable 'ValencedEffect'); and all associations are assigned to broad and fine categories.The script 'unprocessed to processed.r' makes the processed data file from the unprocessed one, or you can simply work from the processed one directly.  The R script 'telomere metanalysis script RSOS REVISED.r' reproduces the analyses found in the paper. This version of the archive (July 17 2018) contains one small correction in the data files compared to all earlier versions.

opencc-by-4.0Jul 2023View details →

Size, age, telomere and ecophysiology data of Gallotia galloti lizard species sampled in Tenerife

The dataset is used in the manuscript "Nina Serén, Rodrigo Megía-Palma, Tatjana Simčič, Miha Krofel, Fabio Maria Guarino, Catarina Pinho, Anamarija Žagar, Miguel A. Carretero. Functional responses in a lizard along a 3.5 km altitudinal gradient. Journal of Biogeography (under review)." The dataset consists of measurements of individual lizards of the species Gallotia galloti, each tagged with a unique CODE. Data include year of sampling, population name, exact elevation (in meters above sea level) and approximate elevation (rounded to the nearest hundred, in meters), and sex. Measurements were as follows: Snout Vent Length (in millimeters), Mass (in grams), AGE_Consensus (in years), Relative Telomere Length, PMA(29ºC, 33 ºC and 37ºC) (Potential metabolic activity measured at experimental conditions of 29˚C, 33ºC and 37ºC, respectively,in µLO2/mg prot/h), Catalase (in relative units U/mg protein), EWLa (accumulated evaporative water loss (in grams) and Temperature_8AM-5PM (measurements of cloacal temperature at hourly intervals starting at 8AM and ending at 5PM).

opencc-by-4.0Jul 2023View details →

ScRAPv20230731: Telomere-to-telomere assemblies of 142 strains characterize the genome structural landscape in Saccharomyces cerevisiae

Saccharomyces cerevisiae Reference Assembly Panel (ScRAP) v20230731 > The haplotype-resolved and/or collapsed T2T genome assemblies for 142 S. cerevisiae strains isolated from diverse geographical and ecological niches.

opencc-by-4.0Dec 2019View details →

TARA-PACIFIC_telomere-length

Samples : High molecular weigth DNA was extracted from an apex of coral nubbins from the TARA-Pacific CS40 sampling. Telomere length was measured using Telomere Restriction Fragment assay using radioactive probes to measure the host telomere length sequence (TTAGGG)n, also referred as T2, or the symbionts telomere length sequence (TTTAGGG)n, also referred as T3. Measurements was successfully performed for the host telomere repeat sequence on 1098 samples, for the symbiont repeat sequence on 882 samples, measurements were successfully performed several times with the host telomere probe for 248 samples and with the symbiont telomere probe for 115 samples.     File structure Variables : 1-sampleID: TARA PACIFIC Colony ID barcod 2- sampling-design: TARA PACIFIC Colony ID encoding for sampling, the island, site and colony (ex: OA000-I01S01C001 stands for Island 1, site 1 and coral colony 1) 3-n: Number of measurements done with the host telomere probe (TTAGGG)*. 4- Mean: Host mean telomere length measured in kilobases.* 5- standard-deviation: Standard deviation of the mean measured between the number of measurements done with the host telomere probe (TTAGGG)*. 6-percentile-50: Host median telomere length measured in kilobases.* 7-percentile-75: Host 3rd quartile telomere length limit below which lies 75% of the signal, measured in kilobases.* 8-percentile-25: Host 1st quartile telomere length limit below which lies 25% of the signal, measured in kilobases.* 9-interpercentile-p75-p25-distance: Distance between host_percentile-25 and host_percentile-75 telomere length, measured in kilobases.* 10-n: Number of measurements done with the symbiont telomere probe (TTTAGGG)*. 4- Mean: Symbiont mean telomere length measured in kilobases.* 5- standard-deviation: Standard deviation of the mean measured between the number of measurements done with the symbiont telomere probe (TTAGGG)*. 6-percentile-50: Symbiont median telomere length measured in kilobases.* 7-percentile-75: Symbiont 3rd quartile telomere length limit below which lies 75% of the signal, measured in kilobases.* 8-percentile-25: Symbiont 1st quartile telomere length limit below which lies 25% of the signal, measured in kilobases.* 9-interpercentile-p75-p25-distance: Distance between symbiont_percentile-25 and symbiont_percentile-75 telomere length, measured in kilobases.* * When signal was undetected measurements is encoded by “not available”.

opencc-zeroJan 2022View details →

Data from: Telomere heritability and parental age at conception effects in a wild avian population

Individual variation in telomere length is predictive of health and mortality risk across a range of species. However, the relative influence of environmental and genetic variation on individual telomere length in wild populations remains poorly understood. Heritability of telomere length has primarily been calculated using parent–offspring regression which can be confounded by shared environments. To control for confounding variables, quantitative genetic 'animal models' can be used, but few studies have applied animal models in wild populations. Furthermore, parental age at conception may also influence offspring telomere length, but most studies have been cross-sectional. We investigated within- and between- parental age at conception effects and heritability of telomere length in the Seychelles warbler using measures from birds caught over 20 years and a multi-generational pedigree. We found a weak negative within-paternal age at conception effect (as fathers aged, their offspring had shorter telomeres) and a weak positive between-maternal age at conception effect (females that survived to older ages had offspring with longer telomeres). Animal models provided evidence that heritability and evolvability of telomere length was low in this population, and that variation in telomere length was not driven by early-life effects of hatch period or parental identities. qPCR plate had a large influence on telomere length variation and not accounting for it in the models would have underestimated heritability. Our study illustrates the need to include and account for technical variation in order to accurately estimate heritability, as well as other environmental effects, on telomere length in natural populations.

opencc-by-4.0Apr 2024View details →

Annotation files related to the Telomere-to-Telomere genome assembly of the clubroot pathogen Plasmodiophora brassicae (GCA_036867785.1)

This repository contains annotation files related to the T2T genome aseembly of Plasmodiophora brassicae. Link to the NCBI genome submission- https://www.ncbi.nlm.nih.gov/bioproject/1071157 Description of the files : GCA_036867785.1_ULAVAL_Pb3A_genomic.fna - Soft-masked genome sequence FASTA file representing 20 chromosomes. sequence_report.jsonl - Detailed information about individual chromosome seqeunce. PBTT_annotation.gtf - GTF file corresponding to the genomic FASTA file.The GTF file was generated by BRAKER3 and contains information about all possible transcripts. PBTT_CDS_longest_isoform.fasta - Contains 10521 FASTA sequences representing the CDS of only the longest isoform of the gene models. PBTT_protein_longest_isoform.fasta - Contains 10521 FASTA sequences representing the amino acid sequences of only the longest isoform of the gene models.

opencc-by-4.0Nov 2024View details →

Dataset supporting the tool 'delfies: a Python package for the detection of DNA breakpoints with neo-telomere addition'

<h2>Purpose</h2> These data can be used to test my tool <a href="https://github.com/bricoletc/delfies">delfies </a>on real data, to get a concrete sense of its inputs/outputs and test that it is  properly installed. <h2>Description</h2> <h3>Genome</h3> I downloaded the genome of Oscheius onirici, accession: <a href="https://www.ebi.ac.uk/ena/browser/view/GCA_932521025.1">GCA_932521025</a>. I subsampled the genome to the last 2kbp of chromosome I, which contains an elimination breakpoint,  using `seqkit` v2.8.2, giving the FASTA file in this release. <h3>Sequencing data</h3> I then downloaded the following sequencing data for *O. onirici*, from the European Nucleotide Archive: <ul> <li>ERR5967937: Illumina NovaSeq 6000 paired end short reads. Reads are 2x150bp with average per-base quality of Q27.</li> <li>ERR10796202: Oxford Nanopore PromethION long reads. Reads have average length 11.9kbp and average per-base quality Q11.4.</li> <li>ERR7979900: Pacific Biosciences (PacBio) Sequel II long reads. Reads have average length 11.1kbp and average per-base quality Q28. </li> </ul> And aligned them to the above genome with `minimap2` version 2.26-r1175, using the following presets:  "map-ont" for the Nanopore data, "map-hifi" for the PacBio data, "sr" for the Illumina data. After sorting with `samtools`, this gives the BAM files in this release. <h3>Running delfies</h3> I then ran `delfies` version 0.6.0 on each BAM and genome, as: ```sh delfies --threads 16 \     --telo_forward_seq TTAGGC \     --breakpoint_type all \     --min_mapq 20 \     --min_supporting_reads 6 \     \${genome} \${bam} \${odirname} ``` The three resulting output directories are in this release, prefixed with `delfies_`. A single, identical breakpoint is found using all three BAMs (see files '*breakpoint_locations.bed'). <h3>Data source</h3> The above raw data were produced and released by the Wellcome Sanger Institute as part of projects  <a href="https://www.ebi.ac.uk/ena/browser/view/PRJEB51305">PRJEB51305</a> and <a href="https://www.ebi.ac.uk/ena/browser/view/PRJEB59023">PRJEB59023.</a>

opencc-zeroApr 2022View details →

Data from: Telomere length declines with age, but relates to immune function independent of age in a wild passerine

Telomere length (TL) shortens with age but telomere dynamics can relate to fitness components independent of age. Immune function often relates to such fitness components and can also interact with telomeres. Studying the link between TL and immune function may therefore help us understand telomere-fitness associations. We assessed the relationships between erythrocyte TL and four immune indices (haptoglobin, natural antibodies, complement activity, heterophil-lymphocyte ratio; n=477-589), from known-aged individuals of a wild passerine (Malurus coronatus). As expected, we find that TL significantly declined with age. To verify whether associations between TL and immune function were independent of parallel age-related changes (e.g. immunosenescence), we statistically controlled for sampling age, and used within-subject centring of TL to separate relationships within or between individuals. We found that TL positively predicted complement activity at the between-individual level (individuals with longer average TL had higher complement activity), but no other immune indices. In contrast, age predicted levels of natural antibodies and heterophil-lymphocyte ratio, allowing inference that respective associations between TL and age with immune indices are independent. Any links existing between TL and fitness are therefore unlikely to be strongly mediated by innate immune function, while TL and immune indices appear independent expressions of individual heterogeneity.

opencc-by-4.0Oct 2022View details →

Cytoplasmic components of the machinery mediating telomere-led rapid chromosome movements in mouse meiosis

Telomere-led rapid chromosome movements (RPMs) are a prominent characteristic of chromosome dynamics during meiosis. Although of crucial importance in maintaining germ cell integrity, the extranuclear portion of the machinery supporting RPMs in mammals is poorly understood. Using an unbiased proteomic approach to identify motor proteins associated to microtubules in mouse meiotic cells, complemented with co-immunoprecipitation confirmation, we uncovered kinesins as candidate of the machinery mediating RPMs in mouse spermatocytes. Further biochemical, microscopy, and functional analysis shows that KIF5B and KIF2B interact with KASH5 and act as motor proteins mediating the LINC complex-microtubule interactions. Our results show that member of the kinesin family of molecular motors act as novel critical modules of the machinery promoting complex dynamic chromosomes in mammals.

opencc-zeroJul 2024View details →

Genetic variability and telomeres: Insights from a tropical avian hybrid zone

Telomere lengths and telomere dynamics can correlate with lifespan, behavior, and individual quality. Such relationships have spurred interest in understanding variation in telomere lengths and their dynamics within and between populations. Many studies have identified how environmental processes can influence telomere dynamics, but the role of genetic variation is much less well characterized. To provide a novel perspective on how telomeric variation relates to genetic variability, we longitudinally sampled individuals across a narrow hybrid zone (n = 127 samples), wherein two Manacus species characterized by contrasting genome-wide heterozygosity interbreed. We measured individual (n = 66) and population (n = 3) differences in genome-wide heterozygosity and, among hybrids, amount of genetic admixture using RADseq-generated SNPs. We tested for population differences in telomere lengths and telomere dynamics. We then examined how telomere lengths and telomere dynamics covaried with genome-wide heterozygosity within populations. Hybrid individuals exhibited longer telomeres, on average, than individuals sampled in the adjacent parental populations. No population differences in telomere dynamics were observed. Within the parental population characterized by relatively low heterozygosity, higher genome-wide heterozygosity was associated with shorter telomeres and higher rates of telomere shortening – a pattern that was less apparent in the other populations. All of these relationships were independent of sex, despite the contrasting life histories of male and female manakins. Our study highlights how population comparisons can reveal interrelationships between genetic variation and telomeres, and how naturally occurring hybridization and genome-wide heterozygosity can relate to telomere lengths and telomere dynamics.

opencc-zeroJul 2024View details →

Are urbanization and brood parasitism associated with differences in telomere lengths in song sparrows?

Urbanization reflects a major form of environmental change impacting wild birds globally. Whereas urban habitats may provide increased availability of water, some food items, and reduced predation levels compared to rural, they can also present novel stressors including increased light at night, ambient noise, and reduced nutrient availability. Urbanization can also alter levels of brood parasitism, with some host species experiencing elevated levels of brood parasitism in urban areas compared to rural areas. Though the demographic and behavioral consequences of urbanization and brood parasitism have received considerable attention, their consequences for cellular-level processes are less understood. Telomeres provide an opportunity to understand the cellular consequences of different environments as they are a well-established metric of biological state that can be associated with residual lifespan, disease risk, and behaviour, and are known to be sensitive to environmental conditions. Here we examine the relationships between urbanization, brood parasitism, and blood telomere lengths in adult and nestling song sparrows (Melospiza melodia). Song sparrows are a North American songbird found in both urban and rural habitats that experience high rates of brood parasitism by brown-headed cowbirds (Molothrus ater) in the urban, but not the rural, sites in our study system. Among adults and nestlings from non-parasitized nests, we found no differences in relative telomere lengths between urban and rural habitats. However, among urban nestlings, the presence of a brood parasite in the nest was associated with significantly shorter relative telomere lengths compared to when a brood parasite was absent. Our results suggest a novel, indirect, impact of urbanization on nestling songbirds through the physiological impacts of brood parasitism.

opencc-by-4.0Jul 2024View details →

Nanotiming: single-molecule based, telomere-to-telomere DNA replication timing profiling by nanopore sequencing

Dataset for the manuscript "Nanotiming: telomere-to-telomere DNA replication timing profiling by nanopore sequencing" by Theulot et al ,2024 (https://doi.org/10.1038/s41467-024-55520-3) related to the github repository (https://github.com/LacroixLaurent/NanoTiming) <ul> <li>WT_rep3.tar.gz contains fast5 file from an experiment where yeast BT1 strain was grown for one doubling time with 5µM BrdU then DNA was sequenced on R9.4.1 ONT flowcell</li> <li>mod_mapping.bam contains the bam file resulting from the BrdU base calling with megalodon (v2.2.9) using our BT1 reference genome and our BrdU aware model for base-calling</li> <li>WT_rep3_nanoT.bed.gz contains the reads coordinates from the mod_mappings file</li> <li>WT_rep3_nanoT_alldata.rds contains the BrdU profiles for each reads of the mod_mappings file, with the BrdU signal binned in 1kb non overlaping windows</li> <li>WT_rep3_nanoT.rds contains the genomic BrdU signal profiles by 1kb non overlaping windows</li> <li>TeloLengthDataNanoT.rds contains all the telomeric sequences extracted from the experiments reported in the Figure 4 and S19 to S23 of the manuscript with the associated filtering information and nanotiming signal.</li> </ul>

opencc-by-4.0Dec 2018View details →

Code and data archive for Nettle et al. 'Consequences of measurement error in qPCR telomere data: A simulation study'

Code and data for Nettle et al. 'Consequences of measurement error in qPCR telomere data: A simulation study' Updated version of March 2019 Main simulation functions are contained in the script ‘simulation.functions.r’. When called, these functions (listed below) return datasets with requested properties containing both the ideal values of the quantities (Cqs, TS, etc.), and their post-error measured values. This allows the user to determine the differences between ideal and measured values, and perform other analyses. All simulation parameter values are user-specifiable. The script ‘paper.results.r’ reproduces all the figures and simulation results from the main paper. 'paper.results.r' also reads in the two .csv files of empirical data (dataset1 and dataset2). Datasets consist of observations from n individuals. The steps common to all of the simulation functions are as follows: <ul> <li>A vector of n true single copy gene abundances, true.dna.scg is defined, drawn from a normal distribution with mean b and standard deviation var.sample.size (b is a constant).</li> <li>A vector of n relative telomere lengths, true.telo.var is defined, drawn from a normal distribution with mean 1 and standard deviation telomere.var.</li> <li>Hence, the true abundance of the telomere sequence is defined, as a*true.dna.scg*true.telo.var. Here, a is a scaling constant representing how many copies of the telomeric sequence there are per single copy gene in the average sample.</li> <li>Ideal Cq values for both reactions are defined as f – log2(true.dna.scg) and f – log2(true.dna.telo), where f is a constant representing the chosen fluorescence threshold.</li> <li>Measurement errors in the Cqs are generated from a normal distribution with mean 0; standard deviations given by error.scg and error.telo; and a correlation between error.scg and error.telo given by error.cor.</li> <li>Hence, measured Cqs are generated, which can be compared to the ideal Cq values.</li> <li>TS ratios are calculated both on the measured Cqs, and the ideal ones.</li> </ul> The following functions are available. Specify desired parameter values in the parenthesis, e.g. generate.one.dataset(n=10000, error.telo=0.1, error.scg=0.1, error.cor=0). Default values in the simulation functions are generally those given in table 1 of the main paper. <ul> <li>generate.one.dataset() returns a simple dataset (one telomere measurement per individual) for chosen values of all the variables described in section 1. As well as ideal and measured Cqs, it returns ideal and measured TS ratios. It also returns the difference between the ideal and measured TS ratio, calculated two ways, computed (error.computed), and using equation (11) of online supplement 1 (error.analytic). Both methods produce the same number. This was included as an additional check of correctness of the simulation.</li> <li>generate.repeated.measure() returns a dataset where telomere lengths from the same individuals are measured twice, via two independent biological samples, and the true telomere length of each individual is assumed not to have changed at all. The data frame it returns is as for generate.one.dataset(), except that there are two of each variable (e.g. true.ts.1, true.ts.2, measured.ts.1, measured.ts.2, etc.).</li> <li>calculate.repeatability() calculates the repeatability of the measured T/S ratio (intra-class correlation coefficient) when generate.repeated.measure() is implemented using the given values for all the parameters. It requires prior installation of R package ‘irr’.</li> <li>compare.repeatability() returns the repeatability of the T/S ratio and the repeatability calculated on the raw Cq for the telomere reaction, for the given parameter values.</li> </ul>

opencc-zeroNov 2022View details →

Data for: Effects of long-term ethanol storage of blood samples on the estimation of telomere length

Telomeres, DNA structures located at the end of eukaryotic chromosomes, shorten with each cellular cycle. The shortening rate is affected by factors associated with stress, and, thus telomere length has been used as a biomarker of ageing, disease, and different life history trade-offs. Telomere research has received much attention in the last decades; however, there is still a wide variety of factors that may affect telomere measurements and to date no study has thoroughly evaluated the possible long-term effect of a storage medium on telomere measurements. In this study we evaluated the long-term effects of ethanol on relative telomere length (RTL) measured by qPCR, using blood samples of magpies collected over twelve years and stored in absolute ethanol at room temperature. We firstly tested whether storage time had an effect on RTL and secondly we modelled the effect of time of storage (from 1 to 12 years) in differences in RTL from DNA extracted twice in consecutive years from the same blood sample. We also tested whether individual amplification efficiencies were influenced by storage time, and whether this could affect our results. Our study provides evidence of an effect of storage time on telomere length measurements. Importantly, this effect shows a pattern of decreasing loss of telomere sequence with storage time that stops after approximate 4 years of storage, which suggests that telomeres may degrade in blood samples stored in ethanol. Our method to quantify the effect of storage time could be used to evaluate other storage buffers and methods. Our results highlight the need to evaluate the long-term effects of storage on telomere measurements, particularly in long-term studies.

opencc-by-4.0Feb 2023View details →

VISION Invited lecture - Genomic instability, microenvironment and telomere homeostasis in colorectal cancer

Recording and presentation of the invited lecture that took place online on 4 November 2021 - Pavel Vodička, MD, Ph.D. - Genomic instability, microenvironment and telomere homeostasis in colorectal cancer. Pavel Vodicka1,2,3, Sona Vodenkova1, Michal Kroupa1,3, Alena Opattova1,2,3, Kristyna Tomasova1,3, Ludmila Vodickova1,2,3 1 Institute of Experimental Medicine, Czech Acad. Sci., Videnska 1083, Prague 4, Czech Rep. 2 Inst. Biology and Med. Genet., 1st Faculty of Medicine, Charles University, Albertov 6, Prague 2, Czech Rep. 3 Biomedical Center, Faculty of Medicine in Pilsen, Charles University Prague, Pilsen, 30100, Czech Rep. Colorectal cancer (CRC) continues to be one of the leading malignancies and causes of tumour-related deaths worldwide. Both impaired DNA repair mechanisms and disrupted telomere length homeostasis represent potential culprits in CRC onset, its dissemination in the body and prognosis. Above parameters are becoming critical as prognostic markers, since CRC therapy is based on compounds interacting with DNA. DNA repair capacity in CRC patients have recently been studied in order to address prediction of therapy response. Due to the substantial interindividual variations in DNA repair capacities and relative telomere length, these markers may pose a possible contribution in individualized therapeutical regimen of CRC patients. Telomere attrition, responsible for replicative senescence in healthy cells, may become a hallmark of malignant transformation of the cell due to by-passing cell cycle checkpoints. Telomerase – a key enzyme keeping homeostasis of telomere - is almost ubiquitous in advanced solid cancers, including CRC, and its expression is fundamental to cell immortalization. Here we present our data based on the investigation of base excision repair capacities and relative telomere length in tumor tissues and adjacent non-malignant mucosa of sporadic CRC patients. The relative gene expression of telomerases is monitored as well. Particular attention will be dedicated to the CRC phenotypes and clinicopathological characteristics. We also addressed telomere homeostasis in peripheral blood lymphocytes of CRC patients in several consecutive samplings (at diagnosis, immediately after treatment and in additional follow-up intervals), which could provide us the insight into the treatment response. This aspect is of particular relevance, since there is currently a persistent effort to develop therapeutics, which are telomerase-specific and gentle to non-malignant tissue. However, in practice, we are at the dawn of clinical trials. Additionally, emerging crosstalks between DNA repair and telomere length homeostasis may cast some lights on a dynamic of genomic instability, a fundamental hallmark (or cause) of cancer. Acknowledgement: GACR 21-04607X, 19-10543S, AZV NV18/03/00199

publicDec 2024View details →

Data from: Sex-specific variation in foraging behavior is related to telomere length in a long-lived seabird

Open the record for dataset details and reuse information.