Reporting Checklist For Life Sciences Articles
This checklist is ud to ensure good reporting standards and to improve the reproducibility of published results. For more information, plea read Reporting Life Sciences Rearch .
▸ Figure legends
• Check here to confirm that the following information is available in all relevant figure legends (or Methods ction if too long):
• t he exact sample size (n ) for each experimental group/condition, given as a number, not a range;
• a description of the sample collection allowing the reader to understand whether the samples reprent technical or biological replicates
(including how many animals, litters, culture, etc.);
• a statement of how many times the experiment shown was replicated in the laboratory ;
• d efinitions of statistical methods and measures : (For small sample sizes (n<5) descriptive statistics are not appropriate, instead plot indi-
vidual data points)
o v ery common tests, such as t -test, simple χ2 tests, Wilcoxon and Mann-Whitney tests, can be unambiguously identified by name only,
but more complex techniques should be described in the methods ction;
o are tests one-sided or two-sided?
o are there adjustments for multiple comparisons?
o statistical test results , e.g., P values ;
o definition of ‘center values ’ as median or mean ;
o definition of error bars as s.d. or c.i.
This checklist will not be published. Plea ensure that the answers to the following questions are reported in the manuscript itlf. We encourage you to include a specific subction in the Methods ction for statistics, reagents and animal models. Below, provide the page number or ction and p
aragraph number (e.g. “Page 5” or “Methods, ‘reagents’ subction, paragraph 2”).Corresponding Author Name: ________________________________________Manuscript Number: ______________________________▸ Statistics and general methods Reported in ction/paragraph or page #:1. H ow was the sample size chon to ensure adequate power to detect a pre-specified effect size? (Give ction/paragraph or page #) For animal studies, include a statement about sample size estimate
even if no statistical methods were ud.
2. D escribe inclusion/exclusion criteria if samples or animals were
excluded from the analysis. Were the criteria pre-established?
(Give ction/paragraph or page #)
3. I f a method of randomization was ud to determine how samples/
animals were allocated to experimental groups and procesd,
describe it. (Give ction/paragraph or page #)
F or animal studies, include a statement about randomization even if no
randomization was ud.
4. I f the investigator was blinded to the group allocation during the
experiment and/or when asssing the outcome, state the extent of
blinding. (Give ction/paragraph or page #)
For animal studies, include a statement about blinding even if no blinding
was done.
5. F or every figure, are statistical tests justified as appropriate?
Do the data meet the assumptions of the tests (e.g., normal distribution)?
Is there an estimate of variation within each group of data?
Is the variance similar between the groups that are being statistically
compared? (Give ction/paragraph or page #)
6. T o show that antibodies were profiled for u in the system under
study (assay and species), provide a citation, catalog number and/or
clone number, supplementary information or reference to an antibody
validation profile (e.g., Antibodypedia, 1DegreeBio).
7. Cell line identity:
a. Are any cell lines ud in this paper listed in the databa of
commonly misidentified cell lines maintained by ICLAC (also
available in NCBI Biosample)?
b. If yes, include in the Methods ction a scientific justification of
their u – indicate here on which page (or ction and paragraph)
the justification can be found.
c. For each cell line, include in the Methods ction a statement
that specifies:
- the source of the cell lines
- have the cell lines been authenticated? If so, by which method?
- have the cell lines been tested for mycoplasma contamination?
In this checklist, indicate on which page (or ction and paragraph)
the information can be found.
▸Animal Models Reported in ction/paragraph or page #:
8. Report species, strain, x and age of animals
9. F or experiments involving live vertebrates, include a statement of
compliance with ethical regulations and identify the committee(s)
approving the experiments.
10. W e recommend consulting the ARRIVE guidelines (PLoS Biol. 8(6), e1000412,2010) to ensure that other relevant aspects of animal studies are
adequately reported.
▸Human subjects Reported in ction/paragraph or page #:
11. Identify the committee(s) approving the study protocol.
12. I nclude a statement confirming that informed connt was obtained
from all subjects.
13. F or publication of patient photos, include a statement confirming
that connt to publish was obtained.
14. R eport the clinical trial registration number (v or
equivalent).
15. F or pha II and III randomized controlled trials, plea refer to the
CONSORT statement and submit the CONSORT checklist with
your submission.
16. F or tumor marker prognostic studies, we recommend that you follow
the REMARK reporting guidelines.
17. P rovide accession codes for deposited data.
Data deposition in a public repository is mandatory for:
a. Protein, DNA and RNA quences
b. Macromolecular structures
c. Crystallographic data for small molecules
d. Microarray data
Deposition is strongly recommended for many other datats for which structured public repositories exist; more details on our data policy are available here. We encourage the provision of other source data in supplementary information or in unstructured repositories such as Figshare and Dryad. We encourage publication of Data Descriptors (e Scientific Data) to maximize data reu
18. I f computer code was ud to generate results that are central to
the paper’s conclusions, include a statement in the Methods ction
under “Code availability” to indicate whether and how the code
can be accesd. Include version information as necessary and any
restrictions on availability.
