preLights – curating preprints for the biological community since 2018
Notice bibliographique
Résumé
In line with its aim of supporting the biological community, The Company of Biologists hosts three community sites. One of these, preLights (https://prelights.biologists.com/), has been helping to stimulate and shape discussions around biological preprints for almost six years now. At the heart of preLights is a dynamic community of early-career researchers who meticulously curate and showcase preprints spanning a wide range of biological fields. These dedicated ‘preLighters’ also initiate informal, engaging and inclusive discussions with preprint authors. By providing a curated platform for preprints, preLights not only accelerates the sharing of the latest research findings but also allows scientists to spot emerging trends in various disciplines.Since its launch in early 2018, the preLights community has been steadily growing to now include over 450 preLighters, 1450 subscribers, 7700 X/Twitter followers and 622 Mastodon followers. Almost 1450 preLights posts have been published on the preLights website to date. Over the course of this year alone, our preLights community has highlighted a high number of preprints that are of interest to the wider biological community. Notably, many of these have been in the broad, fast moving field of cell biology.Here, we feature a few noteworthy posts prepared by some of our preLighters focussing on two fields of research that will be covered by Journal of Cell Science in upcoming special issues: ‘Cell and Tissue Polarity’ and ‘Imaging Cell Architecture and Dynamics’.Earlier this year, Sudeepa Nandi, a PhD student at the Tata Institute of Fundamental Research, India, highlighted a preprint that used mouse hair follicles to study tissue dynamics and architecture (doi:10.1242/prelights.33688). This preprint described the role of coordinated mechanical contributions from dermal fibroblasts and polarised epithelial myosin activity in generating the placode structure. In this context, the asymmetry in myosin distribution plays a role in epithelial cell elongation and curvature.The role of cell polarity in directing cell (and tissue) growth was also covered in a preLights post (doi: 10.1242/prelights.34535) written by two postdocs: Marc Somssich (Max Planck Institute for Plant Breeding Research, Germany) and Gwendolyn K. Kirschner (King Abdullah University of Science and Technology, Saudi Arabia). They highlighted two preprints that independently described how plant roots manage to grow with gravity. After a search of ∼20 years, these two studies identified the repolarisation of LAZY proteins as the missing link between amyloplast movement and auxin redistribution in root gravitropism.Rodrigo Senovilla-Ganzo, a PhD student at the Achucarro Basque Centre for Neuroscience, Spain, chose to highlight a preprint that examined antero-posterior polarity at the level of the organism in adult echinoderms (doi:10.1242/prelights.34443). The preprint authors used spatial transcriptomics to shed light on the echinoderm body plan. Rodrigo notes that the authors have managed to overthrow current theories about patterning in echinoderms and have left the door open for a new paradigm in echinoderm body plan evolution.Kanika Khanna – currently the Scientific Program Leader at the Gladstone Institute of Virology, USA – highlighted a study that quantified the damage caused by cryogenic focused ion beam milling to biological specimens (doi:10.1242/prelights.34034). Importantly, the preprint discusses how this information can be leveraged to prepare samples for in situ structure determination. According to Kanika, this information will be very important for researchers working at the interface of both cryo-EM method development and structural cell biology.Nadja Hümpfer, a PhD student at Freie Universität Berlin, Germany, covered a preprint that features an upcoming imaging technology able to circumvent the diffraction limit of fluorescent microscopy, ultrastructure expansion microscopy (U-ExM) (doi:10.1242/prelights.34838). This microscopy technique is cost effective, easy to implement with already established staining protocols, increases the spatial resolution and provides ultrastructural context. In the preprint that Nadja highlighted, the authors used U-ExM to investigate the cellular organization of Plasmodium falciparum asexual reproduction in erythrocytes. Nadja underlines how the resulting Plasmodium atlas could become a powerful resource for researchers in the field, especially once the imaging data is made publicly available.More recently, two preprints were highlighted in which advanced imaging techniques were used to visualise highly dynamic cellular processes. Roberto Amadio, PhD student at the University of Trieste and ICGEB, Italy, covered a preprint investigating the regulation of actin dynamics by means of super-resolution microscopy and various fluorescent reporters (doi:10.1242/prelights.35841). In Roberto's preLights post, first author Xiang Le Chua shares some of the challenges in imaging these highly dynamic events in real time. Uwe Töpfer, Postdoctoral Research Fellow at UBC Vancouver, Canada, picked a preprint that looked into another dynamic process: basement membrane development during the morphogenesis of hair follicles (doi:10.1242/prelights.35875). To study this at the highest possible resolution, the authors developed a planar-sagittal multiview imaging approach. Uwe points out that the novel mouse model and imaging techniques used in this study provide a new perspective on basement membrane development in mammals.We have highlighted only a few specific preprints/preLights from 2023 here, but it is worth noting that preLights covers a diverse preprints that span different fields of cell biology. To stay informed about the latest preLights in your field, you can register on our website. Additionally, keep an eye out for our Preprint Highlights, published in JCS four times per year, with the last one featured in Volume 136, Issue 21.For early-career researchers passionate about science writing, networking with like-minded people, and, of course, exploring the world of preprints, we invite you to reach out! If you are, or know of, an early-career researcher with such interests, don't hesitate to message us at prelights@biologists.com. We are always happy to welcome more people to our friendly, collaborative and international community and look forward to continuing to bring you the latest insights from the world of cell biology.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,094 | 0,363 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,002 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,021 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».