Carlos Talavera‐López

ORCID: 0000-0001-8590-2393
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About
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Research Areas
  • Single-cell and spatial transcriptomics
  • Trypanosoma species research and implications
  • Insect symbiosis and bacterial influences
  • Iron Metabolism and Disorders
  • Research on Leishmaniasis Studies
  • Malaria Research and Control
  • Gene Regulatory Network Analysis
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Cell Image Analysis Techniques
  • Helminth infection and control
  • Cancer Genomics and Diagnostics
  • T-cell and B-cell Immunology
  • Complement system in diseases
  • Cancer Cells and Metastasis
  • COVID-19 Clinical Research Studies
  • Neurogenesis and neuroplasticity mechanisms
  • X-ray Diffraction in Crystallography
  • SARS-CoV-2 and COVID-19 Research
  • Parasites and Host Interactions
  • Mosquito-borne diseases and control
  • Crystallization and Solubility Studies
  • Extracellular vesicles in disease
  • Receptor Mechanisms and Signaling
  • Congenital heart defects research
  • Supramolecular Chemistry and Complexes

University of Würzburg
2023-2025

Helmholtz Zentrum München
2022-2024

Technical University of Munich
2024

Wellcome Sanger Institute
2019-2022

Karolinska Institutet
2013-2022

Ludwig-Maximilians-Universität München
2022

European Bioinformatics Institute
2019-2021

The Francis Crick Institute
2016-2021

Universitat de les Illes Balears
2012-2019

Fundació Universitat-Empresa de les Illes Balears
2016

Conifers have dominated forests for more than 200 million years and are of huge ecological economic importance. Here we present the draft assembly 20-gigabase genome Norway spruce (Picea abies), first available any gymnosperm. The number well-supported genes (28,354) is similar to >100 times smaller Arabidopsis thaliana, there no evidence a recent whole-genome duplication in gymnosperm lineage. Instead, large size seems result from slow steady accumulation diverse set long-terminal repeat...

10.1038/nature12211 article EN cc-by-nc-sa Nature 2013-05-01

Abstract Cardiovascular disease is the leading cause of death worldwide. Advanced insights into mechanisms and therapeutic strategies require a deeper understanding molecular processes involved in healthy heart. Knowledge full repertoire cardiac cells their gene expression profiles fundamental first step this endeavour. Here, using state-of-the-art analyses large-scale single-cell single-nucleus transcriptomes, we characterize six anatomical adult heart regions. Our results highlight...

10.1038/s41586-020-2797-4 article EN cc-by Nature 2020-09-24

Abstract Expression Atlas is EMBL-EBI’s resource for gene and protein expression. It sources compiles data on the abundance localisation of RNA proteins in various biological systems contexts provides open access to this research community. With increased availability single cell RNA-Seq datasets public archives, we have now extended with a new added-value service display expression cells. Single Cell was launched 2018 currently includes 123 studies from 12 species. The website can be...

10.1093/nar/gkz947 article EN cc-by Nucleic Acids Research 2019-10-16
Lisa Sikkema Ciro Ramírez-Suástegui Daniel Strobl Tessa E. Gillett Luke Zappia and 92 more Elo Madissoon Nikolay S. Markov Laure‐Emmanuelle Zaragosi Yuge Ji Meshal Ansari Marie‐Jeanne Arguel Leonie Apperloo Martin Banchero Christophe Bécavin Marijn Berg Evgeny Chichelnitskiy Mei-I Chung Antoine Collin Aurore Gay Janine Gote-Schniering Baharak Hooshiar Kashani Kemal İnecik Manu Jain Theodore S. Kapellos Tessa Kole Sylvie Leroy Christoph H. Mayr Amanda J. Oliver Michael von Papen Lance Peter Chase J. Taylor Thomas Walzthoeni Chuan Xu Linh T. Bui Carlo De Donno Leander Dony Alen Faiz Minzhe Guo Austin J. Gutierrez Lukas Heumos Ni Huang Ignacio L. Ibarra Nathan D. Jackson Preetish Kadur Lakshminarasimha Murthy Mohammad Lotfollahi Tracy Tabib Carlos Talavera‐López Kyle J. Travaglini Anna Wilbrey-Clark Kaylee B. Worlock Masahiro Yoshida Yuexin Chen James S. Hagood Ahmed Agami Péter Horváth Joakim Lundeberg Charles‐Hugo Marquette Gloria Pryhuber Chistos Samakovlis Xin Sun Lorraine B. Ware Kun Zhang Maarten van den Berge Yohan Bossé Tushar J. Desai Oliver Eickelberg Naftali Kaminski Mark A. Krasnow Robert Lafyatis Marko Nikolić Joseph E. Powell Jayaraj Rajagopal Mauricio Rojas Orit Rozenblatt–Rosen Max A. Seibold Dean Sheppard Douglas P. Shepherd Don D. Sin Wim Timens Alexander M. Tsankov Jeffrey A. Whitsett Yan Xu Nicholas E. Banovich Pascal Barbry Thu Elizabeth Duong Christine S. Falk Kerstin B. Meyer Jonathan A. Kropski Dana Pe’er Herbert B. Schiller Purushothama Rao Tata Joachim L. Schultze Sara A. Teichmann Alexander V. Misharin Martijn C. Nawijn Malte D. Luecken Fabian J. Theis

Single-cell technologies have transformed our understanding of human tissues. Yet, studies typically capture only a limited number donors and disagree on cell type definitions. Integrating many single-cell datasets can address these limitations individual the variability present in population. Here we integrated Human Lung Cell Atlas (HLCA), combining 49 respiratory system into single atlas spanning over 2.4 million cells from 486 individuals. The HLCA presents consensus re-annotation with...

10.1038/s41591-023-02327-2 article EN cc-by Nature Medicine 2023-06-01
Christoph Muus Malte D. Luecken Gökcen Eraslan Avinash Waghray Graham Heimberg and 95 more Lisa Sikkema Yoshihiko Kobayashi Eeshit Dhaval Vaishnav Ayshwarya Subramanian Christopher Smilie Karthik Jagadeesh Thu Elizabeth Duong Evgenij Fiškin Elena Torlai Triglia Meshal Ansari Peiwen Cai Brian Lin Justin Buchanan Sijia Chen Jian Shu Adam L. Haber Hattie Chung Daniel T. Montoro Taylor Adams Hananeh Aliee Jane Samuel Allon Zaneta Andrusivova Ilias Angelidis Orr Ashenberg Kevin Baßler Christophe Bécavin Inbal Benhar Joseph Bergenstråhle Ludvig Bergenstråhle Liam Bolt Emelie Braun Linh T. Bui Mark Chaffin Evgeny Chichelnitskiy Joshua Chiou Thomas M. Conlon Michael S. Cuoco Marie Deprez David S. Fischer Astrid Gillich Joshua Gould Minzhe Guo Austin J. Gutierrez Arun C Habermann Tyler Harvey Peng He Xiaomeng Hou Lijuan Hu Alok Jaiswal Peiyong Jiang Theodoros Kapellos Christin S Kuo Ludvig Larsson Michael Leney-Greene Kyungtae Lim Monika Litviňuková Lu Ji Leif S. Ludwig Wendy Luo Henrike Maatz Elo Madissoon Lira Mamanova Kasidet Manakongtreecheep Charles‐Hugo Marquette Ian M. Mbano Alexi McAdams Ross J. Metzger Ahmad N. Nabhan Sarah K. Nyquist Lolita Penland Olivier Poirion Sergio Poli CanCan Qi Rachel Queen Daniel Reichart Iván O. Rosas Jonas C. Schupp Rahul Sinha Rene Sit Kamil Slowikowski Michal Slyper Neal Smith Alex Sountoulidis Maximilian Strunz Dawei Sun Carlos Talavera‐López Peng Tan Jessica Tantivit Kyle J. Travaglini Nathan R. Tucker Katherine Vernon Marc H. Wadsworth Julia Waldman Xiuting Wang Wenjun Yan

ABSTRACT The COVID-19 pandemic, caused by the novel coronavirus SARS-CoV-2, creates an urgent need for identifying molecular mechanisms that mediate viral entry, propagation, and tissue pathology. Cell membrane bound angiotensin-converting enzyme 2 (ACE2) associated proteases, transmembrane protease serine (TMPRSS2) Cathepsin L (CTSL), were previously identified as mediators of SARS-CoV2 cellular entry. Here, we assess cell type-specific RNA expression ACE2 , TMPRSS2 CTSL through integrated...

10.1101/2020.04.19.049254 preprint EN cc-by-nd bioRxiv (Cold Spring Harbor Laboratory) 2020-04-20

The function of a cell is defined by its intrinsic characteristics and niche: the tissue microenvironment in which it dwells. Here we combine single-cell spatial transcriptomics data to discover cellular niches within eight regions human heart. We map cells microanatomical locations integrate knowledge-based unsupervised structural annotations. also profile cardiac conduction system

10.1038/s41586-023-06311-1 article EN cc-by Nature 2023-07-12

ABSTRACT Organ- and body-scale cell atlases have the potential to transform our understanding of human biology. To capture variability present in population, these must include diverse demographics such as age ethnicity from both healthy diseased individuals. The growth size number single-cell datasets, combined with recent advances computational techniques, for first time makes it possible generate comprehensive large-scale through integration multiple datasets. Here, we integrated Human...

10.1101/2022.03.10.483747 preprint EN cc-by-nd bioRxiv (Cold Spring Harbor Laboratory) 2022-03-11

Abstract The increasing availability of large-scale single-cell atlases has enabled the detailed description cell states. In parallel, advances in deep learning allow rapid analysis newly generated query datasets by mapping them into reference atlases. However, existing data transformations learned to map are not easily explainable using biologically known concepts such as genes or pathways. Here we propose expiMap, a informed deep-learning architecture that enables mapping. ExpiMap learns...

10.1038/s41556-022-01072-x article EN cc-by Nature Cell Biology 2023-02-02

Abstract Salamanders exhibit an extraordinary ability among vertebrates to regenerate complex body parts. However, scarce genomic resources have limited our understanding of regeneration in adult salamanders. Here, we present the ~20 Gb genome and transcriptome Iberian ribbed newt Pleurodeles waltl , a tractable species suitable for laboratory research. We find that embryonic stem cell-specific miRNAs mir-93b mir-427/430/302, as well Harbinger DNA transposons carrying Myb -like...

10.1038/s41467-017-01964-9 article EN cc-by Nature Communications 2017-12-21

A bstract Probabilistic models have provided the underpinnings for state-of-the-art performance in many single-cell omics data analysis tasks, including dimensionality reduction, clustering, differential expression, annotation, removal of unwanted variation, and integration across modalities. Many being deployed are amenable to scalable stochastic inference techniques, accordingly they able process datasets realistic growing sizes. However, community-wide adoption probabilistic approaches is...

10.1101/2021.04.28.441833 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2021-04-29

Trypanosoma cruzi, the etiologic agent of Chagas disease, is currently divided into six discrete typing units (DTUs), named TcI–TcVI. CL Brener, reference strain T. cruzi genome project, a hybrid with assembled 41 putative chromosomes. Gene copy number variation (CNV) well documented as an important mechanism to enhance gene expression and variability in cruzi. Chromosomal CNV (CCNV) another level which whole blocks genes are expanded simultaneously. Although karyotype not defined, several...

10.1186/s12864-015-1680-4 article EN cc-by BMC Genomics 2015-07-03

Background Trypanosoma rangeli is a hemoflagellate protozoan parasite infecting humans and other wild domestic mammals across Central South America. It does not cause human disease, but it can be mistaken for the etiologic agent of Chagas cruzi. We have sequenced T. genome to provide new tools elucidating distinct intriguing biology this species key pathways related interaction with its arthropod mammalian hosts. Methodology/Principal Findings The haploid ∼24 Mb in length, smallest least...

10.1371/journal.pntd.0003176 article EN cc-by PLoS neglected tropical diseases 2014-09-18

Adult neural stem cells, located in discrete brain regions, generate new neurons throughout life. These cells are specialized astrocytes, but astrocytes other regions do not under physiological conditions. After stroke, however, striatal undergo neurogenesis mice, triggered by decreased Notch signaling. We used single-cell RNA sequencing to characterize Notch-depleted vivo. Striatal were upstream of the neuronal lineage. As initiated neurogenesis, they became transcriptionally very similar...

10.7554/elife.59733 article EN cc-by eLife 2020-08-03

, a zoonotic kinetoplastid protozoan parasite, is the causative agent of American trypanosomiasis (Chagas disease). Having very plastic, repetitive and complex genome, parasite displays highly diverse repertoire surface molecules, with pivotal roles in cell invasion, immune evasion pathogenesis. Before 2016, complexity genomic regions containing these genes impaired assembly genome at chromosomal level, making it impossible to study structure function several thousand encoding molecules...

10.3389/fcimb.2021.614665 article EN cc-by Frontiers in Cellular and Infection Microbiology 2021-03-03

Spatial omics allow us to identify and analyze communities of cells coordinating specific functions within a tissue. While these communities, defined as cell niches, are fundamentally shaped by interactions between spatially neighboring cells, we lack computational frameworks that can leverage spatial data quantitatively characterize niches based on interaction events. To address this, introduce NicheCompass, graph deep learning method designed the principles cellular communication....

10.1101/2024.02.21.581428 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2024-02-23

Trypanosoma cruzi marinkellei is a bat-associated parasite of the subgenus Schizotrypanum and it regarded as T. subspecies. Here we report draft genome sequence c. comparison with cruzi. Our aims were to identify unique sequences genomic features, which may relate their distinct niches. The was found be ~11% smaller than that human-derived Sylvio X10. size difference attributed copy number variation coding non-coding sequences. divergence in regions ~7.5% between A acetyltransferase gene...

10.1186/1471-2164-13-531 article EN cc-by BMC Genomics 2012-01-01

Abstract Cerebral malaria is a pathology involving inflammation in the brain. There are many immune cell types activated during this process, but there little information on response of microglia, severe complication. We examined microglia by genome wide transcriptomic analysis model experimental cerebral (ECM), which C57BL/6 mice infected with Plasmodium berghei ANKA. Thousands transcripts were differentially expressed at two different time points infection. Proliferation was dominant...

10.1038/srep39258 article EN cc-by Scientific Reports 2016-12-19

Abstract Spatial omics enable the characterization of colocalized cell communities that coordinate specific functions within tissues. These communities, or niches, are shaped by interactions between neighboring cells, yet existing computational methods rarely leverage such for their identification and characterization. To address this gap, here we introduce NicheCompass, a graph deep-learning method models cellular communication to learn interpretable embeddings encode signaling events,...

10.1038/s41588-025-02120-6 article EN cc-by Nature Genetics 2025-03-18

Trypanosoma cruzi affects millions of people worldwide. Clinical variability Chagas disease can be due to the genetic this parasite, requiring further genome studies. Here we report sequence T. Dm28c clone (TcI), a strain related sylvatic cycle parasite.

10.1128/genomea.01114-13 article EN Genome Announcements 2014-01-31
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