Institution
French Institute of Health and Medical Research
Government•Paris, France•
About: French Institute of Health and Medical Research is a government organization based out in Paris, France. It is known for research contribution in the topics: Population & Receptor. The organization has 109367 authors who have published 174236 publications receiving 8365503 citations.
Topics: Population, Receptor, Immune system, Transplantation, T cell
Papers published on a yearly basis
Papers
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University of Copenhagen1, Utrecht University2, National and Kapodistrian University of Athens3, University of Ulm4, University of Düsseldorf5, Imperial College London6, Umeå University7, Norwegian Institute of Public Health8, University of Oslo9, Karolinska Institutet10, Aarhus University11, Cancer Epidemiology Unit12, Institut Gustave Roussy13, French Institute of Health and Medical Research14, Swiss Tropical and Public Health Institute15, University of Washington16, University of Turin17
TL;DR: The meta-analyses showed a statistically significant association between risk for lung cancer and PM10 and PM2·5, and no association between lungcancer and nitrogen oxides concentration or traffic intensity on the nearest street.
Abstract: Summary Background Ambient air pollution is suspected to cause lung cancer. We aimed to assess the association between long-term exposure to ambient air pollution and lung cancer incidence in European populations. Methods This prospective analysis of data obtained by the European Study of Cohorts for Air Pollution Eff ects used data from 17 cohort studies based in nine European countries. Baseline addresses were geocoded and we assessed air pollution by land-use regression models for particulate matter (PM) with diameter of less than 10 μm (PM10), less than 2·5 μm (PM2·5), and between 2·5 and 10 μm (PMcoarse), soot (PM2·5absorbance), nitrogen oxides, and two traffi c indicators. We used Cox regression models with adjustment for potential confounders for cohort-specifi c analyses and random eff ects models for meta-analyses. Findings The 312 944 cohort members contributed 4 013 131 person-years at risk. During follow-up (mean 12·8 years), 2095 incident lung cancer cases were diagnosed. The meta-analyses showed a statistically signifi cant association between risk for lung cancer and PM10 (hazard ratio [HR] 1·22 [95% CI 1·03–1·45] per 10 μg/m³). For PM2·5 the HR was 1·18 (0·96–1·46) per 5 μg/m³. The same increments of PM10 and PM2·5 were associated with HRs for adenocarcinomas of the lung of 1·51 (1·10–2·08) and 1·55 (1·05–2·29), respectively. An increase in road traffi c of 4000 vehicle-km per day within 100 m of the residence was associated with an HR for lung cancer of 1·09 (0·99–1·21). The results showed no association between lung cancer and nitrogen oxides concentration (HR 1·01 [0·95–1·07] per 20 μg/m³) or traffi c intensity on the nearest street (HR 1·00 [0·97–1·04] per 5000 vehicles per day).
1,257 citations
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TL;DR: It is found that the optimal on-target efficiency prediction model strongly depends on whether the guide RNA is expressed from a U6 promoter or transcribed in vitro, and it is demonstrated that the best predictions can significantly reduce the time spent on guide screening.
Abstract: The success of the CRISPR/Cas9 genome editing technique depends on the choice of the guide RNA sequence, which is facilitated by various websites. Despite the importance and popularity of these algorithms, it is unclear to which extent their predictions are in agreement with actual measurements. We conduct the first independent evaluation of CRISPR/Cas9 predictions. To this end, we collect data from eight SpCas9 off-target studies and compare them with the sites predicted by popular algorithms. We identify problems in one implementation but found that sequence-based off-target predictions are very reliable, identifying most off-targets with mutation rates superior to 0.1 %, while the number of false positives can be largely reduced with a cutoff on the off-target score. We also evaluate on-target efficiency prediction algorithms against available datasets. The correlation between the predictions and the guide activity varied considerably, especially for zebrafish. Together with novel data from our labs, we find that the optimal on-target efficiency prediction model strongly depends on whether the guide RNA is expressed from a U6 promoter or transcribed in vitro. We further demonstrate that the best predictions can significantly reduce the time spent on guide screening. To make these guidelines easily accessible to anyone planning a CRISPR genome editing experiment, we built a new website (
http://crispor.org
) that predicts off-targets and helps select and clone efficient guide sequences for more than 120 genomes using different Cas9 proteins and the eight efficiency scoring systems evaluated here.
1,256 citations
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Eugenia E. Calle1, Clark W. Heath1, H. L. Miracle-McMahill1, R. J. Coates2 +185 more•Institutions (41)
TL;DR: Breast cancer and hormonal contraceptives: Collaborative reanalysis of individual data on 53297 women with breast cancer and 100239 women without breast cancer from 54 epidemiological studies as mentioned in this paper.
1,253 citations
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Aix-Marseille University1, Cornell University2, Washington University in St. Louis3, Charité4, French Institute of Health and Medical Research5, Pasteur Institute6, Keio University7, University of California, San Francisco8, Laboratory of Molecular Biology9, VU University Amsterdam10, University of Oxford11, University of Amsterdam12
TL;DR: The advances in ILC biology over the past decade are distill the advances to refine the nomenclature of ILCs and highlight the importance of I LCs in tissue homeostasis, morphogenesis, metabolism, repair, and regeneration.
1,252 citations
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TL;DR: The view that humans' responses to the pain of others can be modulated by cognitive and motivational processes, which influence whether observing a conspecific in need of help will result in empathic concern, an important instigator for helping behavior, is supported.
Abstract: Whether observation of distress in others leads to empathic concern and altruistic motivation, or to personal distress and egoistic motivation, seems to depend upon the capacity for self-other differentiation and cognitive appraisal. In this experiment, behavioral measures and event-related functional magnetic resonance imaging were used to investigate the effects of perspective-taking and cognitive appraisal while participants observed the facial expression of pain resulting from medical treatment. Video clips showing the faces of patients were presented either with the instruction to imagine the feelings of the patient (“imagine other”) or to imagine oneself to be in the patient's situation (“imagine self”). Cognitive appraisal was manipulated by providing information that the medical treatment had or had not been successful. Behavioral measures demonstrated that perspective-taking and treatment effectiveness instructions affected participants' affective responses to the observed pain. Hemodynamic changes were detected in the insular cortices, anterior medial cingulate cortex (aMCC), amygdala, and in visual areas including the fusiform gyrus. Graded responses related to the perspective-taking instructions were observed in middle insula, aMCC, medial and lateral premotor areas, and selectively in left and right parietal cortices. Treatment effectiveness resulted in signal changes in the perigenual anterior cingulate cortex, in the ventromedial orbito-frontal cortex, in the right lateral middle frontal gyrus, and in the cerebellum. These findings support the view that humans' responses to the pain of others can be modulated by cognitive and motivational processes, which influence whether observing a conspecific in need of help will result in empathic concern, an important instigator for helping behavior.
1,251 citations
Authors
Showing all 109539 results
Name | H-index | Papers | Citations |
---|---|---|---|
Guido Kroemer | 236 | 1404 | 246571 |
Pierre Chambon | 211 | 884 | 161565 |
Peer Bork | 206 | 697 | 245427 |
Ronald M. Evans | 199 | 708 | 166722 |
Raymond J. Dolan | 196 | 919 | 138540 |
Matthew Meyerson | 194 | 553 | 243726 |
Charles A. Dinarello | 190 | 1058 | 139668 |
Julie E. Buring | 186 | 950 | 132967 |
Tadamitsu Kishimoto | 181 | 1067 | 130860 |
Didier Raoult | 173 | 3267 | 153016 |
Giuseppe Remuzzi | 172 | 1226 | 160440 |
Zena Werb | 168 | 473 | 122629 |
Nahum Sonenberg | 167 | 647 | 104053 |
Philippe Froguel | 166 | 820 | 118816 |
Gordon J. Freeman | 164 | 579 | 105193 |